The Southeast Asia region is experiencing unprecedented economic growth that is closely linked to the exploitation of natural biodiversity resources. However, responsible management of natural resources is crucial to sustainable long-term development, given the severity of climate change and the increasingly difficult challenge of discovering climate change solutions.

The Master of Science in Biodiversity Conservation and Sustainability (MBCS) (previously known as Master of Science in Biodiversity Conservation and Nature-based Climate Solutions) programme is designed for graduates with a Bachelor’s degree who would like to learn more about and/or enhance their knowledge in biodiversity, and will equip students with key skills related to conservation efforts, environmental sustainability and climate change solutions.

Admission Requirements

Applicants seeking admission to this programme must possess either of the following qualifications:

• A Bachelor’s degree in relevant disciplines (with Honours or its equivalent); or
• A Bachelor’s degree with at least 2 years of relevant work experience; or
• A Bachelor’s degree with a relevant Graduate Certificate with a minimum GPA of 3.00

Applicants from countries whose native tongue is not English or whose tertiary education is not conducted in English must have a TOEFL score of ≥85 (internet-based) or a IELTS score of ≥6.0.

Programme Structure

Students have to fulfil all the following conditions:

1. Complete and pass one research project or internship course:
   • BL5199 Research Project in Conservation and Nature-based Climate Solutions or
   • BL5299 Internship in Conservation and Nature-based Climate Solutions
2. Read and pass two essential courses:
   • BL5301 Conservation Problems and Practice
   • BL5302 Topics on Nature-based Climate Solution
3. Read and pass five* elective courses chosen from the following list:
   • BL5225 Marine Conservation
   • BL5230 Biological Invasions
   • BL5210 Biogeography
   • BL5312 Natural History Collections and Conservation
   • LSM4262 Tropical Conservation Biology
   • BL5217 Population Genomics and Phylogenomics
   • BL5219 Field Research Techniques for Plant Ecology
   • BL5233 Data Analysis for Conservation Biology with R
   • BL5234 Quantitative Methods and Critical Thinking in Biology
   • BL5321 Quantitative Analysis of Conservation Effectiveness
   • BL5322 Field Techniques in Aquatic Conservation
   • LX5103 Environmental Law
   • PP5269 Environmental Economics and Public Policy
   • BL5331 Conservation Governance and Climate Solutions
   • BL5102 Environmental Science
   • BL5311 Freshwater Conservation
4. Obtain a minimum Grade Point Average (GPA) of 3.00.

*Please note that a maximum of 8 Units may be replaced by level 4000 courses (subject to approval)

Programme Intake

There is one intake per academic year in August.

The MSc in Biotechnology aims to achieve the following:

• Introduce unique cutting-edge learning platforms for early and mid-career professionals offering rigorous training in biotechnology for the twenty-first century.
• To enhance skills and opportunities for early and mid-career professionals with a curriculum that is adaptable to the rapidly changing biotechnology environment in Singapore and across the globe.
• Learn key quantitative and technical skills (i.e., data analysis and computational thinking, genetic engineering and analysis and protein engineering, design and application)
• Develop key management and communication skills (i.e., biotechnology enterprise, written and oral communication, teamwork and leadership and problem solving)

Admission Requirements

Applicants seeking admission to this programme must possess either of the following qualifications:

• A Bachelor’s degree in relevant disciplines (with Honours or its equivalent); or
• A Bachelor’s degree with at least 2 years of relevant work experience; or
• A Bachelor’s degree with a relevant Graduate Certificate with a minimum GPA of 3.00

Applicants from countries whose native tongue is not English or whose tertiary education is not conducted in English must have a TOEFL score of ≥85 (internet-based) or a IELTS score of ≥6.0.

Programme Structure

Students have to fulfil all the following conditions:

1. Read and pass four core courses
   • BL5699 Capstone Project in Biotechnology
   • BL5213 Protein Design and Engineering
   • BL5601 Case Studies in Biotechnology
   • BL5602 Genetic Engineering in Biotechnology
2. Read and pass five* elective courses chosen from the following list:
   • BL5232 Introduction to Bioimaging
   • BL5226 Novel Applications in Bioimaging Sciences
   • BL5235 Advanced Optics for Microscopy
   • BL5232A Practical Bioimaging A: Electron Microscopy
   • BL5232B Practical Bioimaging B: Light Microscopy
   • BL5232C Practical Bioimaging C: Hands-on Microscopy
   • BL5621 Understanding and modeling infections disease
   • BL5622 Detection and monitoring of infectious disease
   • BL5631 Practical Analysis of Genomic Data using R
   • BL5632 Genomic Data Science in the Cloud
   • BL5223 Advanced Molecular Genetics
   • BL5216 Advanced Genetics and Genome Sciences
   • BL5202A Biophysical Methods in Life Sciences
   • BL5214 Advanced Proteins NMR
   • BL5215 Macromolecular X-ray Crystallography
   • BL5221 Plant and Microbial Development
   • BL5661 Urban Agriculture and Crop Biotechnology
3. Obtain a minimum Grade Point Average Point (GPA) of 3.00.

*Please note that a maximum of 8 Units may be replaced by level 5000 courses from other departments (subject to approval)

Programme Intake

There is one intake per academic year in August.

This programme is designed for chemistry graduates who would like to pursue a postgraduate degree in Chemistry. This programme lays the scientific foundation in chemistry for attendees for senior positions in the chemistry industry as well as to qualify for other advanced degree programmes such as PhD in Chemistry. At the end of the programme, the student will be equipped with advanced knowledge and skills pertaining to recent developments in the Chemical Science which will enable him/her to perform with confidence leading roles as scientists, managers and entrepreneurs in Chemistry R&D and related industries.

Admission Requirements

• a person must have completed a degree in Chemistry, or related subject with at least a 2nd Class Honours, or its equivalent.
• Applicants whose native tongue and medium of university instruction is not completely in English must have a minimum TOEFL score of 85 or a minimum IELTS score of 6 (overall).
• Candidates with other qualifications and achievements deemed to be suitably prepared for the programme of study may also be considered.

Programme Structure

Complete 2 full-time or 4 part-time semesters of course requirements.

Students have to fulfil the following conditions:

1. Read and pass the three core courses : CM5102, CM5103 and CM5104 amounting to 12 Units
2. Read and pass five Chemistry level 5000 elective courses amounting to 20 Units
3. Complete a compulsory research project CM5100 equivalent to 8 Units
4. Obtain a minimum Grade Point Average (GPA) of 3.00.

Programme Intake

There is one intake per academic year in August.

The NUS MSc in Data Science and Machine Learning programme is offered by the Department of Mathematics. It is an interdisciplinary graduate degree programme, which is designed to nurture the next generation of leaders in data science and artificial intelligence. Its curriculum integrates mathematics, statistics and computer science, as well as machine learning and artificial intelligence.

Admission Requirements

Candidates must have an Honours degree in a quantitative science (e.g. mathematics, applied mathematics, statistics and physics), engineering or computer science.

In addition, a candidate whose medium of undergraduate instruction is not English must complete TOEFL or IELTS. A minimum TOEFL score of 85 is required while a minimum IELTS score of 6.0 is required.

Programme Structure

Students have to

1. Read and pass five essential courses;
2. Read and pass five elective courses from the list of elective courses.

Course List

Five Essential Courses

• DSA5101 Introduction to Big Data for Industry
• DSA5103 Optimization Algorithms for Data Modelling
• DSA5104 Principles of Data Management and Retrieval
• DSA5105 Principles of Machine Learning
• DSA5201 DSML Industry Consulting and Applications Project

Elective Courses

• DSA5202   Advanced Topics in Machine Learning
• DSA5203   Visual Data Processing and Interpretation
• DSA5204   Deep Learning and Applications
• DSA5205   Data Science in Quantitative Finance
• DSA5206   Advanced Topics in Data Science
• DSA5207   Text Processing & Interpretation with Machine Learning
• DSA5208   Scalable Distributed Computing for Data Science
• QF5204     Numerical Methods in Quantitative Finance
• MA4230    Matrix Computation
• MA4235    Topics in Graph Theory
• MA5232    Modelling and Numerical Simulations

• CS4248     Natural Language Processing
• CS5224     Cloud Computing
• CS5228     Knowledge Discovery and Data Mining
• CS5344     Big-Data Analytics Technology
• ST5201      Statistical Foundations of Data Science
• ST5202      Applied Regression Analysis
• ST5225      Statistical Analysis of Networks

3. Obtain a minimum Grade Point Average (GPA) of 3.00.

Candidature & Application

The candidature for full-time students is from a minimum of two semesters to a maximum of four semesters.
The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters.

Programme Intake

There is one intake per academic year in August.

The world is currently facing significant sustainability challenges, including climate change, biodiversity loss, water scarcity, pollution.  Data science, by uncovering valuable insights from complex economic, environment and social systems, has become a crucial player in supporting the efforts to address the issues.  The MSc programme in Data Science for Sustainability is a collaboration between the Department of Statistics and Data Science and the Centre for Nature-based Climate Solutions, in partnership with Department of Biological Science. The programme is to train data scientists who can integrate their knowledge and skills with an understanding of sustainability issues.

The demand for professionals with skills in the field of both robust data science and sustainability is increasing rapidly.  The growing demand opens exciting and diverse career opportunities.  This programme is designed to equip graduates with the necessary technical and analytical abilities to effectively meet the demand.

Admission Requirements

• A 4-year bachelor degree in quantitative subject, such as Mathematics, Engineering, Statistics, Computer Science, Physics, or Economics, etc.
• A 4-year bachelor degree in a relevant non-quantitative subject, such as Environmental Sciences, Life Sciences etc., is acceptable if complemented by a minor or second major in a quantitative subject, indicating strong analytical skills.
• A candidate whose medium of instruction in their undergraduate program is partially or not in English will be required to provide one of the following:
  • Test of English as Foreign Language (TOEFL) – Minimum score: 85 (internet-based test)
  • International English Language Testing System (IELTS) – Overall minimum score: 6
• Strong candidates with a relevant 3-year Bachelor’s degree or a 4-year Bachelor’s degree in a non-quantitative subject may be considered on a case-by-case basis, depending on their professional experience.  It is subject to approval by the Graduate Programme Committee.

Programme Structure

The course list above may be updated rather regularly and subject to changes.

Students are expected to obtain a minimum Grade Point Average (GPA) of 3.00.

Candidature & Application

The candidature for full-time students is from a minimum of two semesters to a maximum of four semesters.
The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters.

Programme Intake

There is one intake per academic year in August.

The Master of Science in Financial Engineering (MFE) is a multi-disciplinary programme that combines finance, mathematics, and computing with a practical orientation to solve problems in finance. The MFE was launched in 1999 by the Centre for Financial Engineering at NUS, the predecessor to RMI. It aims to equip finance and banking industry professionals and fresh graduates with current knowledge and skills in financial innovations and technology. The domain knowledge includes financial product development, modelling of prices, hedging, investment technology, risk analyses and computational methods.

The degree is awarded by the National University of Singapore, administered through the Risk Management Institute (RMI) and comprises teaching staff from the Departments of Finance, Mathematics, Statistics and Applied Probability, Economics and practitioners from the finance industry. It is a multidisciplinary programme that draws from the established strengths of the various NUS Faculties.

There are many MFE programmes available and the RMI MFE distinguishes itself by striving to shape its students into ‘doers’ – people with the theoretical background necessary to approach complex financial problems and the practical know-how to solve these problems.

Admission Requirements

• Good four-year undergraduate degree or an honours degree
• Good TOEFL or IELTS score if English was not the medium of instruction in undergraduate studies
• GMAT or GRE score (optional)
• Relevant work experience will be an advantage

Programme Structure
To graduate from the programme, each candidate is required to complete 40 Units. Of these, there are five core (compulsory) courses and a compulsory financial engineering project equivalent to 4 Units each. Candidates must also choose additional elective courses. There are also elective courses held overseas that are conducted at an intensive pace over one week.

(I) Graduation Requirements

Students have to fulfill all the following conditions to graduate:

1. Read and pass the following six essential courses:
   • FE5101 Derivatives and Fixed Income
   • FE5107 Risk Analyses and Management
   • FE5110 Financial Engineering Project
   • FE5112 Stochastic Calculus and Quantitative Methods
   • FE5116 Programming and Advanced Numerical Methods
   • FE5209 Financial Econometrics
2. Read and pass four or more elective courses, totaling a minimum of 16 Units, from the following list:
   • FE5103 Equity Products and Exotics
   • FE5105 Corporate Financing and Risk
   • FE5108 Portfolio Theory and Investments
   • FE5208 Term Structure and Interest Rate Derivatives
   • FE5210 Research Methods in Finance
   • FE5211 Seminar in Financial Engineering
   • FE5215 Seminar in Financial Product Innovations
   • FE5216 Financial Technology Innovations Seminar
   • FE5217 Seminar in Risk Management and Alternative Investment
   • FE5218 Credit Risk
   • FE5219 Credit Analytics Practicum
   • FE5221 Trading Principles & Fundamentals
   • FE5222 Advanced Derivatives Pricing
   • FE5223 Introduction to Electronic Financial Market
   • FE5224 Current Topics in Applied Risk Management
   • FE5225 Machine Learning and FinTech
   • FE5226 C++ in Financial Engineering
   • FE5227 Commodities: Fundamentals and Modelling

For students admitted into the programme, a minimum Grade Point Average (GPA) of 3.00 is required for graduation.

(II) Intake
The MFE in Financial Engineering has one intake per year, with candidates joining the programme in August every year.

(III) Duration of the Programme
The minimum and maximum periods of candidature are 18 months and four years for part-time and distance learning students. The minimum and maximum periods of candidature are one year and two years for full-time students.

(IV) Semester
The programme operates in the two regular University Semesters 1 and 2 from August-November, and January-April, and also in the special term from May-July. The Financial Engineering project may be taken in any semester or term.

(V) Classes
In all courses, students will meet teaching staff 12 times for each course. Lectures for both the part-time and full-time programmes are held in the evenings from 7.00pm to 10.00pm or on Saturdays. Each lecture lasts three hours.

(VI) Leave of Absence
A leave of absence may be granted to a candidate for up to one year only. A candidate who has to leave the programme for longer than that will need to withdraw from the programme. The leave of absence will be included in the maximum period of candidature.

(VII) Termination of Candidature
The candidature may be terminated if a candidate failed twice in the examination of a module, or failed in more than two modules throughout the course of study. No extension of the maximum period of candidature will be permitted. A candidate should also attain a minimum Grade Point Average (GPA) of 3.00 to remain in good standing.

The MSc in Food Science and Human Nutrition offers a comprehensive set of advanced topics including food bioscience (microbiology and safety, fermentation), modern food processing technology, evidence-based functional foods, modern analytical science and human nutrition. This programme is designed to provide professional continuing education training, which in turn better prepare the workforce amid the rapidly changing food landscape.

Admission Requirements

• A recognised Bachelor’s degree (with Honours or its equivalent) majoring in Food Science/Technology/Engineering and Nutrition; or
• A recognised Bachelor’s degree majoring in Food Science/Technology/Engineering and Nutrition with at least 2 years of relevant work experience; or
• A recognised Bachelor’s degree majoring in the following areas – chemistry, biochemistry, chemical engineering, biochemical engineering, biomedical engineering, agricultural engineering, agricultural product storage and processing, biotechnology, biological sciences, pharmacy, microbiology, nutrition, dietetics, physiology, agriculture and horticulture with at least two years of relevant work experience.
• International students whose mother tongue is not English and whose tertiary education is not conducted in English must have a TOEFL score of ≥85 or a IELTS score of ≥ 6.0.

Programme Structure

A student must meet all the coursework and research project requirements and have earned 40 Units with the following criteria:

• Achieve a minimum GPA of 3.0;
• Elective requirements (28 Units): Pass seven courses (minimum 5 FST-coded) from those listed in both clusters of courses: 1) Food Science & Technology, 2) Nutrition
• Core requirements (12 Units): Pass FST5198 Advanced Food Science and Nutrition Seminar (4 Units) AND obtain a minimum of C+ grade for one of the following:
  • FST5199A MSc Research Project (8 Units) – to be completed over 1 or 2 semesters for full-time students
  • FST5199B Integrated Food Research Lab (8 Units) – to be completed over 2 semesters

*Subject to availability of quota and prerequisite requirements.

Programme Intake

There is one intake per academic year, in August. 

The MSc in Forensic Science aims to equip its participants with the key knowledge and capabilities to:

• Understand the fundamental concepts and principles behind the application of scientific techniques to forensic investigations and to the criminal justice system
• Explore the different basic and advanced techniques used in forensic investigation
• Enhance hands-on advanced problem solving skills by applying the knowledge gained to come up with innovative solutions to problems related to forensic science

Admission Requirements

Applicants seeking admission to this programme must possess either of the following qualifications:

• A Bachelor’s degree in relevant disciplines (with Honours or its equivalent); or
• A Bachelor’s degree in relevant disciplines with at least 2 years of relevant work experience; or
• A Bachelor’s degree with a relevant Graduate Certificate with a minimum GPA of 3.00

The relevant disciplines would be Biology, Chemistry, Computer Science, Engineering, Geography, Law, Pharmacy, Physics, Statistics and Probability, Psychology and Social Work.

The relevant work experience considered would be in industries such as enforcement, investigations, front line forensics officers such as CSI, paralegal, forensic science laboratory officers, underwriters, forgery investigators and etc.

Applicants from countries whose native tongue is not English or whose tertiary education is not conducted in English must have a TOEFL score of ≥85 (internet-based) or a IELTS score of ≥6.0.

Programme Structure

Students have to fulfil all the following conditions:

1. Read and pass the following two essential courses:
   • FSC5199 Research Project in Forensic Science
   • FSC5101 Survey of Forensic Science
2. Read and pass five* elective courses chosen from the following list:
   • FSC5201 Advanced CSI Techniques
   • FSC5202 Forensic Defense Science
   • FSC5203 Digital Forensic Investigation
   • FSC5204 Forensic Psychiatry and Psychology
   • FSC5205 Forensic Science in Major Cases
   • FSC4201 Articulating Probability and Statistics in Court
   • FSC4202 Forensic Human Identification
   • FSC4203 Forensic Toxicology and Poison
   • FSC4204A Criminalistics: Evidence and Proof
   • FSC4204B Criminalistics: Forgery Expose with Forensic Science
   • FSC4205 Forensic Entomology
   • FSC4206 Advanced Criminal Litigation – Forensics on Trial
   • IFS4102 Digital Forensics
3. Obtain a minimum Grade Point Average (GPA) of 3.00.

*Please note that students can only read a maximum of 8 Units of level 4000 electives.

Programme Intake

There is one intake per academic year, in August. 

The Master of Science in Mathematics by coursework is a postgraduate programme offered by the Department of Mathematics, which may be pursued full-time or part-time. This programme aims to provide advanced training in mathematics with an emphasis on coursework. It offers opportunities to those who have an Honours degree or a Bachelor’s degree in mathematics to build and enhance their professional skills and qualifications in advanced mathematics in general and/or in some specialised areas of applied mathematics.

Admission Requirements

A candidate may be admitted to one of two study tracks depending on his/her level of qualification upon entry into the programme.

For admission into Track 1 (40 Units), a candidate must have

• An Honours degree in mathematics or an equivalent qualification, or
• An Honours degree in a discipline with strong training in mathematics at university level.

For admission into Track 2 (80 Units), a candidate must have

• A three-year Bachelor’s degree in mathematics or an equivalent qualification, or
• A three-year Bachelor’s degree in a discipline with strong training in mathematics at university level.

A candidate whose Honours or Bachelor’s degree is not in mathematics must complete the GRE subject test in mathematics.

In addition, a candidate whose native tongue or medium of undergraduate instruction is not English must complete TOEFL or IELTS. A minimum TOEFL score of 85 or a minimum IELTS score of 6.0 is required.

Programme Structure

Students have to fulfil all the following conditions:

Track 1

1. Read and pass ten level 5000 or 4000 courses. Among the ten courses, at least eight must be level 5000 or above; and at least five are from the list of Basic Elective Courses.
2. Obtain a minimum Grade Point Average (GPA) of 3.00.
   

    List of Basic Elective Courses (Students must read and pass five courses selected from the following list):

   • MA5202 Number Theory
   • MA5203 Graduate Algebra I
   • MA5205 Graduate Analysis I
   • MA5208 Algebraic Geometry
   • MA5210 Differentiable Manifolds
   • MA5211 Lie Theory
   • MA5219 Logic and Foundation of Mathematics I
   • MA5220 Logic and Foundation of Mathematics II
   • MA5232 Modeling and Numerical Simulations
   • MA5248 Stochastic Analysis in Mathematical Finance
   • MA5259 Probability Theory I
   • MA5266 Optimization
   • MA5269 Optimal Stopping and Stochastic Control in Finance
   • MA5270 Game Theory and applications
   • MA5271 Introduction to Computational Mathematics

   In addition to the Basic Electives Courses, the following General Elective courses can also be taken to fulfil graduation requirement:

   • Other MA level 4000 or 5000 courses (Internship courses MA5401 and MA5402 require prior Please refer to Overview of Graduate Internship Courses - NUS Mathematics for internship course guidelines.)
   • Up to three QF or DSA level 5000 courses (These courses are not hosted by MSc (Mathematics) by coursework programme. Their enrolments are subject to the final approval from the course hosts. In particular, the core courses for MSc (Quantitative Finance) or MSc (Data Science & Machine Learning) will not be available.)
   • Any level 5000 courses offered by other departments subject to department’s approval. (Please see Course Substitution Current Coursework Students - NUS Mathematics for more details.)

   Track 2

1. Read and pass twenty level 5000 or 4000 or 3000 courses. Among the twenty courses, at least eight must be level 5000 or above; at least five are from the list of Basic Elective Courses; and at most two are from level 3000.
2.  Obtain a minimum Grade Point Average (GPA) of 3.00.

      List of Basic Elective Courses (Students must read and pass five courses selected from the following list):

• MA5202 Number Theory
• MA5203 Graduate Algebra I
• MA5205 Graduate Analysis I
• MA5208 Algebraic Geometry
• MA5210 Differentiable Manifolds
• MA5211 Lie Theory
• MA5219 Logic and Foundation of Mathematics I
• MA5220 Logic and Foundation of Mathematics II
• MA5232 Modeling and Numerical Simulations
• MA5248 Stochastic Analysis in Mathematical Finance
• MA5259 Probability Theory I
• MA5266 Optimization
• MA5269 Optimal Stopping and Stochastic Control in Finance
• MA5270 Game Theory and applications
• MA5271 Introduction to Computational Mathematics

  In addition to the Basic Electives Courses, the following General Elective courses can also be taken to fulfil graduation requirement:

• Other MA level 3000, 4000 or 5000 courses (Internship courses MA5401 and MA5402 require prior Please refer to Overview of Graduate Internship Courses - NUS Mathematics for internship course guidelines. Project course MA4199/ MA4198* also requires prior permission and must be taken during year 1.)
• Up to three QF or DSA level 5000 courses (These courses are not hosted by MSc in Mathematics by coursework programme. Their enrolments are subject to the final approval from the course hosts. In particular, the core courses for MSc (Quantitative Finance) or MSc (Data Science & Machine Learning) will not be available.)
• Any level 5000 courses offered by other departments subject to department’s (Please see Course Substitution Current Coursework Students - NUS Mathematics for details.)

Candidature & Application

Track 1
The candidature for full-time students is from a minimum of two semesters to a maximum of six semesters.
The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters.

Track 2
The candidature for full-time students is from a minimum of four semesters to a maximum of eight semesters.
The candidature for part-time students is from a minimum of six semesters to a maximum of ten semesters.

NUS Department of Pharmacy and Pharmaceutical Sciences has been running the Master of Science (Pharmaceutical Science and Technology) [MPST] programme since 2008. This programme was started as a part-time coursework based programme in response to directions from EDB to train science, pharmacy and engineering personnel to be proficient and knowledge-ready to meet the needs of the pharmaceutical/biopharmaceutical industry (e.g. in the areas of formulation, process and product development, quality assurance, and regulatory affairs) in Singapore.

To make our students relevant in the future pharmaceutical/biopharmaceutical industry, a broad-based approach is adopted in our curriculum, to encompass the various stages of pharmaceutical/biopharmaceutical development. The Department sees the importance to keep abreast with the evolving needs of the pharmaceutical industry and has taken the effort to restructure the curriculum, and update the contents with new courses introduced for students to read, in order to ensure the continued relevance for the graduates.

Currently, there are two pathways towards the MPST part-time programme, either by Direct Admission Route or via ‘Stackable’ Route. This part-time course of study caters mainly to prospective Singapore-based students who are already working in or aspiring to enter the pharmaceutical/biopharmaceutical industry.

The Department has launched a MPST full-time programme that commences in AY2022/2023 Semester 1. This full-time course of study with a shorter duration of candidature, is open to both local and overseas prospective students.

Learning Outcomes

Graduates from this programme will enhance their on-the-job competency by:

• Gaining in-depth knowledge and practical skills for formulation and process manufacturing of chemical and biological drugs into a range of pharmaceutical dosage forms, ranging from tablets to injectables.
• Acquiring understanding of the regulatory and quality compliance of pharmaceuticals in the process of drug development and manufacturing.

Admission Requirements

MPST full-time programme

To be admitted directly into the MPST full-time programme, candidates must be holders of at least a 2^nd Class Lower Honours classification (or equivalent) in one of the following degrees, or their equivalent:

• Bachelor of Science (Honours) in Chemistry, or
• Bachelor of Science (Honours) in Life Sciences, or
• Bachelor of Applied Science (Honours) in Food Science & Technology, or
• Bachelor of Applied Science (Honours) in Applied Chemistry (Drug Option), or
• Bachelor of Science in Pharmacy (Honours), or
• Bachelor of Engineering (Chemical Engineering) (Honours)

TOEFL/IELTS and GRE requirements (where applicable)

When applying to MPST full-time programme, if the medium of instruction for the candidate’s undergraduate degree programme is not in English, a copy of the official score sheet of the ^Test of English as a Foreign Language (TOEFL) or ^International English Language Testing System (IELTS) has to be provided as evidence of their proficiency in the English language. Such candidates, if found suitable, would be considered on a case-by-case basis.

The submission of GRE results is not mandatory. However, it is recommended for candidates who do not meet the stipulated degree/honours classification or hold equivalent degrees from overseas universities to apply to MPST full-time programme with their ^^GRE results (for the GRE General Test) submitted as a supporting document for consideration. Such candidates, if found suitable, would be considered on a case-by-case basis.

^The minimum TOEFL score required is 85 for internet-based test. The minimum IELTS score required is 6 (overall). TOEFL/ IELTS scores are valid for 2 years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.
^^GRE scores are only valid for 2.5 years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.

MPST part-time programme

Prospective students will have two pathways towards the MPST part-time programme: A) Direct Admission Route; B) ‘Stackable’ Route (including Graduate Certificate).

Note: Students who have started on a selected pathway are not allowed to switch over to the other route.

A) Direct Admission Route

To be admitted directly into the MPST part-time programme, candidates must be holders of at least a 2^nd Class Lower Honours classification (or equivalent) in one of the following degrees, or their equivalent:

• Bachelor of Science (Honours) in Chemistry, or
• Bachelor of Science (Honours) in Life Sciences, or
• Bachelor of Applied Science (Honours) in Food Science & Technology, or
• Bachelor of Applied Science (Honours) in Applied Chemistry (Drug Option), or
• Bachelor of Science in Pharmacy (Honours), or
• Bachelor of Engineering (Chemical Engineering) (Honours)

TOEFL/IELTS and GRE requirements (where applicable)

When applying to MPST part-time programme, if the medium of instruction for the candidate’s undergraduate degree programme is not in English, a copy of the official score sheet of the ^Test of English as a Foreign Language (TOEFL) or ^International English Language Testing System (IELTS) has to be provided as evidence of their proficiency in the English language. Such candidates, if found suitable, would be considered on a case-by-case basis.

The submission of GRE results is not mandatory. However, it is recommended for candidates who do not meet the stipulated degree/honours classification or hold equivalent degrees from overseas universities to apply to MPST part-time programme with their ^^GRE results (for the GRE General Test) submitted as a supporting document for consideration. Such candidates, if found suitable, would be considered on a case-by-case basis.

^The minimum TOEFL score required is 85 for internet-based test. The minimum IELTS score required is 6 (overall). TOEFL/ IELTS scores are valid for 2 years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.
^^GRE scores are only valid for 2.5 years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.

B) ‘Stackable’ Route (including Graduate Certificate)

The ‘stackable’ route is for students who had completed individual modular courses and who subsequently decide to pursue the MPST degree by crediting the relevant courses taken. Candidates will require a relevant degree as listed under direct admission requirements. Students who do not fulfil the degree requirement outright can appeal with justification, and the case will be reviewed individually.

For more information on the ‘Stackable’ Route (including Graduate Certificate), please refer to “Admission Requirements” at https://pharmacy.nus.edu.sg/study/postgraduate-programmes/msc-pharmaceutical-science-technology-programme/part-time/

Programme Structure

Candidates admitted into the Master’s degree programme must read and pass a total of 40 Units, comprising 20 Units of core courses and 20 Units of elective courses:

20 Units of Core Courses:

• PR5198 Graduate Seminar Course in Pharmacy [4 Units]
• PR5211 Pharmaceutical and Biomedical Analysis (new course title w.e.f. AY2021/2022, formerly known as “Pharmaceutical Analysis IV”) [4 Units]
• PR5217 Formulation Science [4 Units]
• PR5218 Methodologies in Product Development (Capstone course) [4 Units]
• PR5304 Fundamental Topics in Pharmaceutical Science [4 Units]

20 Units of Elective Courses:

• PR5213 Pharmaceutical Process Validation [4 Units]
• PR5214 Advances in Solid Pharmaceutical Formulations (new course title w.e.f. AY2023/2024, formerly known as "Advances in Tablet Technology") [4 Units]
• PR5216 Advances in Drug Delivery [4 Units]
• PR5219 Product Development & Quality Management (new course title w.e.f. AY2020/2021, formerly known as "Product Quality Management") [4 Units]
• PR5220 Bioprocess Technology [4 Units]
• PR5221 Molecular Targets in Drug Discovery [4 Units]
• PR5224 Pharmacoepidemiology [4 Units]
• PR5225 Preformulation Science [4 Units]
• PR5230 Pharmacoeconomics and Outcomes Research [4 Units]
• PR5299 Research Project in Pharmaceutical Innovation [8 Units]
• PR5399 MPST Industry Exposure Internship [4 Units]
• GMS5011 Fundamentals of Pharmaceutical Regulation OR GMS5003 Fundamentals of Health Products Regulation (offered by Centre of Regulatory Excellence (CoRE), Duke-NUS Medical School) [4 Units]
• GMS5012 Chemistry, Manufacturing and Controls OR GMS5004 Regulation of Pharmaceutical Manufacturing (offered by Centre of Regulatory Excellence (CoRE), Duke-NUS Medical School) [4 Units]
• MT5912 Frugal Innovation (offered by Institute for Engineering Leadership (IEL), College of Design and Engineering) [4 Units]
• MT5913 TechLaunch (offered by Institute for Engineering Leadership (IEL), College of Design and Engineering) [4 Units]

For more information, please refer to “Programme Structure” at https://pharmacy.nus.edu.sg/study/postgraduate-programmes/msc-pharmaceutical-science-technology-programme/part-time/ and https://pharmacy.nus.edu.sg/study/postgraduate-programmes/msc-pharmaceutical-science-technology-programme/full-time/ 

Graduation Requirements

To graduate with the degree in Master of Science (Pharmaceutical Science and Technology), candidates must read and pass a total of 40 Units, comprising 20 Units of core courses and 20 Units of elective courses, and have achieved a GPA of at least 3.00.

Programme Intake

There are two intakes per academic year, in August and January.

The Master of Science in Physics by coursework is a postgraduate programme offered by the Department of Physics, which may be pursued full-time or part-time. This programme aims to achieve the following:

• Provide advanced training in both experimental and theoretical Physics, with all graduate courses offered at the Department of Physics and the Centre of Quantum Technologies (CQT) being elective courses for MSc Physics students.
• Prepare prospective PhD students for PhD studies.
• Enhance professional skills and qualifications of Physics teachers and other professionals.

The domain knowledge includes quantum physics, quantum computation, condensed-matter physics, statistical mechanics, machine learning, advanced theoretical and experimental techniques, etc.

Graduates of this programme have various career options. They can join institutes, universities or government agencies as research associates, educators, or take on jobs such as staff scientists, R&D managers, project managers, etc. in the private sector. Graduates from this programme are encouraged to apply for PhD programmes in NUS and/or other world-class universities.

Admission requirements

Designed for students with a background in Physics, Applied Physics or other related specializations, this programme has two tracks:

• Track 1(40 units): Candidate must have a four-year Bachelor’s degree in Physics or Applied Physics.
• Track 2 (80 units): Candidate must have a three-year Bachelor’s degree in Physics or Applied Physics, or a four-year Bachelor’s degree for studies in other related subjects such as semiconductors, electronics, photonics, or and materials science, etc.

In addition, a candidate whose native tongue or medium of undergraduate instruction is not English must complete TOEFL or IELTS. A minimum TOEFL score of 85 is required for the internet-based test; while a minimum IELTS score of 6.0 is required.

Programme Structure

Students have to fulfil the following conditions:

Track 1 – 40 units

• Read and pass 40 units - PC5XXX or QT5XXX courses (excluding PC5198)
• Up to two courses (8 units) can be from level 4000 PC courses
• Up to two courses (8 units) can be level 5000 courses offered by other departments, subject to approval
• Students may choose to complete a research project in lieu of courses - PC5286 equivalent to 8 units
• Obtain a minimum Grade Point Average (GPA) of 3.00

Track 2 – 80 units

• Read and pass 80 units - PC5XXX or QT5XXX courses (excluding PC5198)
• Up to two courses (8 units) can be level 5000 courses offered by other departments, subject to approval
• Up to nine courses (36 units) can be from level 4000 PC courses
• Up to two courses (8 units) can be from level 3000 PC courses
• Students may choose to complete a research project in lieu of courses - PC5286 equivalent to 8 units
• Obtain a minimum Grade Point Average (GPA) of 3.00

Period of Candidature

Track 1

For full-time students, the typical candidature is one year. The maximum period of candidature is two years.
For part-time students, the maximum period of candidature is four years.

Track 2

For full-time students, the typical candidature is two years. The maximum period of candidature is three years.
For part-time students, the maximum period of candidature is five years.

Programme Intake

There is one intake per academic year in August.

The Master of Science in Physics for Technology (MPT) is a postgraduate programme offered by the Department of Physics, which may be pursued full-time or part-time.

The MPT is a multi-disciplinary programme that offers knowledge in physics, photonics, electronics, materials science, and computing with a practical orientation to solve problems in high technology. The MPT aims to equip high-technology R&D professionals and fresh graduates with current knowledge and skills in scientific innovations and technology.

The domain knowledge includes quantum physics, solid-state physics, photonics, electronic/optical materials and fabrication, computational methods, machine learning and artificial intelligence. The MPT strives to equip its students with both the theoretical background necessary to approach complex problems and the practical know-how to solve these problems in quantum technology, semiconductor technology, photonic technology, and technologies for advanced materials.

Admission requirements

• A four-year Bachelor’s degree in Physics, Applied Physics or related subjects such as semiconductors, electronics, photonics, or and materials science, etc.
• Candidates with other qualifications and achievements deemed to be suitably prepared for the MPT may also be considered.

In addition, a candidate whose native tongue or medium of undergraduate instruction is not English must complete TOEFL or IELTS. A minimum TOEFL score of 85 is required for the internet-based test; while a minimum IELTS score of 6.0 is required.

Programme Structure

Students have to fulfil the following conditions:

1. Read and pass the following four essential courses (20 units):
   

   Course Code	Course Title	Units
   PC5101	Physics and Technology	4
   PC5102	Physics in Industry	4
   PC5214	Essential Techniques in Experimental Physics	4
   PC5287	M.Sc Coursework Thesis for Physics and Technology	8

2. Read and pass five* elective courses (20 units), excluding PC5286 (MSc Physics Coursework Project) and PC5198 (Graduate Seminar Course in Physics). The list of elective courses are:
   

   Course Code	Course Title	Units
   PC4228	Device Physics for Quantum Technology	4
   PC4230	Quantum Mechanics III	4
   PC4236	Computational Condensed Matter Physics	4
   PC4240	Solid State Physics II	4
   PC4241	Statistical Mechanics	4
   PC4243	Atomic and Molecular Physics II	4
   PC4245	Particle Physics	4
   PC4246	Quantum Optics	4
   PC4248	General Relativity	4
   PC4249	Astrophysics II	4
   PC4253	Thin Film Technology	4
   PC4259	Surface Physics	4
   PC4262	Remote Sensing	4
   PC4264	Advanced Solid State Devices	4
   PC4267	Biophysics III	4
   PC4268	Biophysical Instrumentation and Biomolecular Electronics	4
   PC4274/PC4274A	Mathematical Methods in Physics III	4
   PC4441	Climate Science and Climate Change Fundamentals	4
   PC5201	Advanced Quantum Mechanics	4
   PC5202	Advanced Statistical Mechanics	4
   PC5203	Advanced Solid State Physics	4
   PC5204	Magnetism and Spintronics	4
   PC5204B	Special Topics in Physics: Analytic Approximations	4
   PC5205	Topics in Surface Physics	4
   PC5206	Selected Topics in Quantum Field Theory	4
   PC5209	Accelerator Based Materials Characterisation	4
   PC5210	Advanced Dynamics	4
   PC5211	Advanced Electrodynamics	4
   PC5212	Physics of Nanostructures	4
   PC5213	Advanced Biophysics	4
   PC5215	Numerical Recipes with Applications	4
   PC5216	Advanced Atomic and Molecular Physics	4
   PC5218	Superconductivity and Superconducting Devices	4
   PC5228	Quantum Information and Computation	4
   PC5247	Photonics II	4
   PC5251	Applied Machine Learning and Data Science	4
   PC5252	Bayesian Statistics and Machine Learning	4
   PC5253	Complex Systems Analysis and Modelling	4
   PC5267	Physics of Small Machines and Active Matters	4
   PC5271	Physics of Sensors	4
   PC5274	Advanced Mathematical Methods in Physics	4
   QT5101	Quantum measurements and statistics	4
   QT5201S	Quantum Electronics	4

   *Students can only read a maximum of two level 4000 (PC4xxx) courses (8 units).

3. Obtain a minimum Grade Point Average (GPA) of 3.00.

Cross-faculty/department courses

Students may take up to two level 5000 courses (8 units) not in the curriculum to fulfil the graduation requirement. The registration for any cross-faculty/department course is subject to approval by both the programme and the department that offers the course. CQT courses are not considered cross-faculty/department courses.

Graduate Certificates

The curricula for Graduate Certificates are grouped into five key thematic: Materials, Quantum Technologies, Semiconductor Technologies, Photonic Technologies, and Big Data in Physical Sciences.  Students who are unable to complete the MSc but have taken minimal two courses from one cluster may be issued a Graduate Certificate.

Materials Cluster:

• PC4236 Computational Condensed Matter Physics (4 units)
• PC5203 Advanced Solid State Physics (4 units)
• PC5205 Topics in Surface Physics (4 units)
• PC5212 Physics of Nanostructures (4 units)

Quantum Technologies Cluster:

• PC4228 Device Physics for Quantum Technology (4 units)
• PC5228 Quantum Information and Computation (4 units)
• QT5201S Quantum Electronics (4 units)

Semiconductor Technologies Cluster:

• PC4253 Thin Film Technology (4 units)
• PC5209 Accelerator Based Materials Characterization (4 units)
• PC5214 Principles of Experimental Physics (4 units)
• PC5271 Physics of Sensors (4 units)

Photonics Technologies Cluster:

• PC4240 Solid State Physics II (4 units)
• PC4246 Quantum Optics (4 units)
• PC5247 Photonics II (4 units)

Big Data in Physical Sciences Cluster:

• PC5251 Applied Machine Learning and Data Science (4 units)
• PC5252 Bayesian Statistics and Machine Learning (4 units)
• PC5253 Complex Systems Analysis and Modelling (4 units)

Period of Candidature

For full-time students, the typical candidature is one year. The maximum period of candidature is two years.

For part-time students, the typical candidature is two years. The maximum period of candidature is four years.

Programme Intake

There is one intake per academic year in August.

The Master of Science in Quantitative Finance by coursework is a postgraduate programme offered by the Department of Mathematics with the cooperation of the Department of Economics and the Department of Statistics and Data Science. The objective of the programme is to provide advanced training in quantitative finance with an emphasis on coursework.

Students in the programme are expected to acquire advanced knowledge in quantitative finance as well as a deep understanding of the background and implications of the use of quantitative methods in the financial industry. The programme offers opportunities to those who have an Honours degree in quantitative finance or mathematics to build and enhance their professional skills and qualifications in quantitative finance at master’s level.

Admission Requirements

Candidates applying for admission into the programme should ordinarily possess or be expecting to obtain an Honours degree (or a 4-year Bachelor’s degree) in a discipline with strong training in quantitative finance or mathematics at university level, or an equivalent qualification.

In addition, a candidate whose native tongue or medium of undergraduate instruction is not English must complete TOEFL or IELTS. A minimum TOEFL score of 85 is required for the internet-based test; while a minimum IELTS score of 6.0 is required.

Programme Structure

Students have to fulfil all the following conditions:

1. Read and pass the following five essential courses:

• QF5202 Structured Products
• QF5203 Risk Management
• QF5209 Financial Derivatives: Modelling and Computation
• QF5210 Financial Time Series: Theory and Computation
• QF5212 Introduction to Quantitative Finance

2. Read and pass five elective courses chosen from the following list:
    (We recommend at least three QF or DSA courses.)

• DSA5102 Foundations of Machine Learning
• DSA5205 Data Science in Quantitative Finance
• MA5232 Modeling and Numerical Simulations
• MA5233 Computational Mathematics
• QF5201 QF5201A Interest Rate Theory and Credit Risk
• QF5204 Numerical Methods in Quantitative Finance
• QF5205 Topics in Quantitative Finance I
• QF5206 Topics in Quantitative Finance II
• QF5207 Investment and Portfolio Selection
• QF5208 AI and FinTech
• QF5211 Monte Carlo Methods in Quantitative Finance
• QF5213 Financial Management
• QF5214 Data Engineering for Quantitative Finance
• QF5401 Graduate Internship in Quantitative Finance I
• ECA5102 Macroeconomic
• ECA5103 Quantitative & Computing Methods
• ECA5304 Machine Learning and Economic Forecasting
• ECA5334 Corporate Finance
• ST5207 Nonparametric regression
• ST5227 Applied Statistical Learning

3. Obtain a minimum Grade Point Average (GPA) of 3.00 or an average grade of at least B-.

Notes:
Courses with codes MAxxxx or QFxxxx are offered by the Department of Mathematics.
Courses with codes QF5xxx are offered exclusively to students in the Master of Science in Quantitative Finance programme.
Courses with codes ECAxxxx are offered by the Department of Economics.
Courses with codes STxxxx are offered by the Department of Statistics and Data Science.

Candidature & Application

The candidature for full-time students is from a minimum of two semesters to a maximum of four semesters.
The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters.

Programme Intake

There is one intake per academic year in August.

The objective of the programme is to provide a sound knowledge of the statistical principles and methods required by practising statisticians.

Admissions Requirements

• A Bachelor’s (Honours) degree or a 4-year Bachelor’s degree in Mathematics, Engineering, Statistics, Biostatistics, Quantitative Finance, Computer Science, Physics, Economics, etc.
• A candidate whose medium of instruction in their undergraduate program is partially or not in English will be required to provide the following:
  • Test of English as Foreign Language (TOEFL) - Minimum score: 85 (internet-based test)
  • International English Language Testing System (IELTS) - Overall minimum score: 6

Programme Structure

The course list below may be updated rather regularly and subject to changes.
Please refer to the courses offering by department every semester via NUSMods.

Type of Study 

The programme will be conducted by coursework. Courses will be conducted during the university semesters. Most of the level-5000 courses will be conducted in the evenings.

Period of Candidature

The candidature for full-time students is from a minimum of two semesters to a maximum of four semesters.

The candidature for part-time students is from a minimum of four semesters to a maximum of eight semesters.

Programme Intake 

There is only one intake per academic year in August.

Introduction

Clinical Pharmacy is a dynamic field of practice that requires pharmacists to continuously develop their skills and knowledge. With the expanding healthcare needs of society, the role of the pharmacist in providing care will continue to grow in all settings, whether hospital, community, or primary care. Postgraduate training provides the pathway to become advanced generalist and specialist pharmacists to meet these growing needs.

The Master of Pharmacy (Clinical Pharmacy) [MCP] and subsequent stackable option to the Doctor of Pharmacy (Pharm.D.) degree provide enhanced flexibility, improved options, and diverse pathways leading to the advanced generalist and specialist pharmacy practitioners. This programme is available in full-time and part-time mode. The programme offers a full-time course of study over 1 year, and a part-time option for Singapore citizens and permanent residents completed in up to 4 years. In addition, the coursework for the MCP fulfills the didactic portion of the NUS Pharm.D. degree.

The MCP programme will enhance the clinical knowledge and practice skills of the students in the delivery of patient-orientated services, aiming to inculcate in our students the qualities of resourcefulness and enterprising spirit in their professional progression.

Further, the pedagogical approach of blended learning coupled with in-class case discussions, debates and oral presentations will develop questioning minds, prompting students to challenge current clinical pharmacy practices and lead in initiating innovative clinical programmes. Additionally, such in-class activities will enable our students to be effective communicators to articulate and defend their ideas.

The MCP programme welcomes applications of high-quality candidates from both Singapore and overseas, leading to cultural diversity in the classroom. Students will participate as global citizens in discussions and debates as constructive and responsible colleagues conscious of the differences in various cultural settings, healthcare settings, and practices.

Admission Requirements

Prospective students have two routes to gain admission towards this Master of Pharmacy (Clinical Pharmacy) programme:

1.       A) Direct Admission Route

2.       B) ‘Stackable’ Route (including Graduate Certificate)

However, students who have started on a selected pathway are not allowed to switch over to the other route.

A) Direct Admission route:

To be admitted directly into this Master programme, candidates must be holders of at least a 2nd Class Lower Honours (or equivalent) in either one of the following degrees, or their equivalent:

• Bachelor of Science in Pharmacy (Honours)
• Bachelor of Pharmacy (Honours)

Candidates who do not meet the stipulated degree and honours classification as shown above will be considered for “Stackable” Route instead.  Such candidates would be considered by the Department for admission on a case-by-case basis via the possibility of interviews.

Candidates who hold equivalent degrees from overseas universities may apply via Direct Admission Route.  Such candidates are required to provide their GRE results for the GRE General Test submitted as supporting document.  If English Language is not the candidate’s native language or the medium of instruction for undergraduate degree program, a copy of the official score sheet of the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) will have to be provided as evidence of their proficiency in the English language for meeting the minimum expected TOEFL/IELTS score.  Such candidates, if found suitable, would be considered for admission on a case-by-case basis.

B) ‘Stackable’ route (including Graduate Certificate):

The admission to the Master programme via this ‘stackable’ route will be applicable to the following category of candidates who:

Category (i)      do not meet the admission requirement under direct admission route and be reviewed individually; or

Category (ii)     have completed some elective courses prior to this Master programme.

• For candidates from category (i), they will start by taking the standalone elective courses via NUS SCALE, and subsequently apply for candidature conversion and admission into MCP. Candidates need to fulfill the conversion requirements of completing 16 units of standalone courses with a minimum GPA of 3.00.  The candidate can apply for credit transfer of the elective courses taken prior to candidature conversion during their first semester of study in MCP, in accordance with NUS credit transfer policy.  Subsequently, the candidate continues to take the relevant courses to fulfil MCP program requirements.
• For candidates from category (ii), the elective courses taken shall constitute 16 units and with a minimum GPA of 3.00.  Such candidates can apply for candidature conversion and admission into MCP.  For the courses taken prior to MCP, the candidate can apply for credit transfer during their first semester of study in MCP, in accordance with NUS credit transfer policy. Subsequently, the candidate continues to take the relevant courses to fulfill MCP program requirements.

If students meet the continuation requirement and wish to continue, students are to proceed taking the core courses and other elective courses to fulfill the Master of Pharmacy (Clinical Pharmacy) requirement with a minimum GPA of 3.00 within their part-time candidature.

If the students are unable to continue with the Master programme or decided not to continue with the Master programme, students will exit with the Graduate Certificate if the elective courses taken meet the Graduate Certificate requirement with a minimum GPA of 2.50.

Programme Structure

1.     Full-time programme

·         Minimum candidature: 2 semesters (1 year)

·         Maximum candidature: 4 semesters (2 years)

2.     Part-time programme

·         Minimum candidature: 4 semesters (2 years)

·         Maximum candidature period: 8 semesters (4 years)

For AY2023/2024 cohort and onwards

Candidates admitted into the MCP programme must read and pass a total of 40 units, comprising 20 units of core courses and 20 units of elective courses, as follows:

This programme is available in full-time and part-time mode.

In response to the changing health care environment, Pharmacy as a profession is continually evolving to expand its scope of services and responsibilities to meet the needs of patients, health care systems, and other professionals. Traditionally, the primary responsibility of the pharmacist was the safe and accurate dispensing of drugs prescribed by the physician.  Today, pharmacists are involved in the clinical care of their patients. To face the challenges in the practice of pharmacy in Singapore and abroad, pharmacists have to be equipped with not only the knowledge, but also the skills, attitudes and values required to deliver high quality, consistent and safe treatments to patients in collaboration with other health care professionals.

The primary objective of the NUS Doctor of Pharmacy (PharmD) programme is to train pharmacy practitioners to possess leadership qualities, advanced expertise and clinical experience that enable them to be at the forefront of the Pharmacy profession and health care in a variety of settings – institutional, community practice, government, academia, industry, translational research and drug development. The curriculum emphasizes a patient-centred course of study and involves a structure that will enable the students to develop into reflective practitioners with skills and attitudes to evaluate critically and modify practices in a timely and effective manner.

Criteria for Admission

• Candidates must be holders of the following degree, or its equivalent : Bachelor of Science in Pharmacy (Honours).
• Candidates must have fulfilled the pre-registration pharmacist training requirements and registered to practise Pharmacy in Singapore.
• Preference for those with relevant work experience as a pharmacist (hospital, community etc.)
• Candidates will also be evaluated based on an interview, their written statement of career goals and at least three letters of recommendation.

Programme Structure

Length of Study

Full-Time Programme may be completed over 2 academic years. The didactic component may be completed during the first 10-months followed by the clerkship rotations over the following 40-50 weeks.

Part-Time Programme may be completed over 3-6 academic years. The didactic component may be completed over a period of 2 to 3 academic years, followed by the clerkship rotations, spread over the following 1 to 3 academic years.

Curriculum

The didactic component of the programme consists of 16 courses, comprising 10 essential Level 5000 courses and 6 elective Level 5000 courses as described below. Students must read the 10 essential Level 5000 courses and choose 3 elective Level 5000 courses.

Didactic Coursework

Essential Courses (38 Unit)

• PR5135 Foundations in Advanced Pharmacy Practice (4 Unit)
  • Statistics, research methodology, clinical research, drug information, literature evaluation, quality improvement, drug use evaluation
• PR5134 Advanced Skills in Pharmacy Practice (4 Unit)
  • History taking, clinical documentations, communication skills, basic physical assessment skills, simulation-based training
• PR5136 Pharm.D. Seminar & Teaching (4 Unit)
  • Presentation skills, peer evaluation, teaching of undergraduate students
• PR5113 Clinical Pharmacokinetics and Therapeutic Drug Monitoring (4 Unit)
  • Basic pharmacokinetics, pharmacokinetics and dynamics in renal impairment, hepatic impairment, oncology, vancomycin, aminoglycosides, antiepileptics, immunosuppressants, antifungals
• PR5130 Advanced Pharmacotherapy I (2 Unit)
  • Infectious diseases, hepatology
• PR5131 Advanced Pharmacotherapy II (2 Unit)
  • Acute cardio, stroke, fluid and electrolytes
• PR5132 Advanced Pharmacotherapy III (2 Unit)
  • Oncology & supportive care
• PR5133 Advanced Pharmacotherapy in Special Populations (2 Unit)
  • Pediatrics, women’s health
• PR5137 Advanced Pharmacotherapy in Geriatrics (2 Unit)
• PR5239 Clinical Pharmacy Research Project (12 Unit)
  • Study design, IRB application, data collection and analysis, research report, presentations.

Elective Courses (6 Unit) – undertake 3 elective courses to make up 6 Unit

• PR5230A Pharmacoeconomics (2 Unit)
• PR5230B Outcomes Research (2 Unit)
• PR5237 Management of Older Patients (2 Unit)
• PR5131A Advanced Pharmacotherapy IIA (2 Unit)
  • Emergency medicine and critical care
• PR5132A Advanced Pharmacotherapy IIIA (2 Unit)
  • Haematology and immunology
• PR5134A Physical Assessment and Diagnostic Tests for Advanced Pharmacy Practice (2 unit)
• PR5234A Concepts in Pharmacogenomics (2 Unit)

Clerkships

All PharmD candidates must complete 40 weeks of clerkship consisting eight 5-week attachments at various practice settings. The clerkship component of the programme aims to provide hands-on application of the knowledge gained in the didactic courses, and to develop the clinical skills necessary to provide advanced pharmaceutical care.

• Compulsory clerkships (20 Unit) (5 weeks each, total of 20 weeks)
  This will consist of clerkships in the following areas:
  • PR5150  Ambulatory Care (5 Unit)
  • PR5151  Adult Acute Care Medicine (5 Unit)
  • PR5152  Adult General Medicine (5 Unit)
  • PR5154  Drug Information (5 Unit)

• Elective clerkships (20 Unit) (5 weeks each, total of 20 weeks)
  This will consist of four 5-week attachments to allow students to gain exposure to a broad range of pharmacy practice settings, as well as to allow them to pursue areas of personal interest.  Options for elective clerkships will depend on available resources and clerkship sites.
  • PR5250  Elective Clerkship I (5 Unit)
  • PR5251  Elective Clerkship II (5 Unit)
  • PR5252  Elective Clerkship III (5 Unit)
  • PR5253  Elective Clerkship IV (5 Unit)

Graduation Requirements

Candidates will need to complete 44 Unit worth of courses plus clerkships (40 Unit) as indicated in the curriculum. To graduate with the PharmD degree, the candidate must have achieved a GPA of at least 3.5 for all essential and elective courses, in addition to passes for all eight clinical clerkships.