Programme Structure

Coursework Programmes

MSc in Biodiversity Conservation and Nature-Based Climate Solutions

The MSc in Biodiversity Conservation and Nature-based Climate Solutions aims to equip its participants with the key knowledge and capabilities to:

Develop strategic approaches and solutions to current and emergent real-world conservation and climate change problems.
Think analytically and develop strong practical and leadership competencies.
Learn key quantitative and technical skills (i.e., data analysis, genetic analysis, mathematical biology, remote sensing and geographic information systems and ecological field techniques)
Develop key management and communication skills (i.e., conservation and sustainability leadership, communication, writing and oral skills, conservation and sustainability project solving and conservation and sustainability enterprising)

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 CAP 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:

Complete and pass one research project or internship module:
- BL5199 Research Project in Conservation and Nature-based Climate Solutions or
- BL5299 Internship in Conservation and Nature-based Climate Solutions
Read and pass two essential modules:
- BL5301 Conservation Problems and Practice
- BL5302 Topics on Nature-based Climate Solution
Read and pass five* elective modules 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
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

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

Programme Intake

There is one intake per academic year in August.

MSc in Biotechnology

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 CAP 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:

Read and pass four core modules
- BL5699 Capstone Project in Biotechnology
- BL5213 Protein Design and Engineering
- BL5601 Case Studies in Biotechnology
- BL5602 Genetic Engineering in Biotechnology
Read and pass five* elective modules 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
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

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

Programme Intake

There is one intake per academic year in August.

MSc in Chemical Sciences

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:

Read and pass the three core modules : CM5102, CM5103 and CM5104 amounting to 12 MCs
Read and pass five Chemistry level 5000 elective modules amounting to 20 MCs
Complete a compulsory research project CM5100 equivalent to 8 MCs
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

Programme Intake

There is one intake per academic year in August.

MSc in Data Science and Machine Learning

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. Its curriculum integrates mathematics, statistics and computer science, as well as data analytics and machine learning. In addition to learning knowledge in data science, students will also have opportunities to explore the integration of machine learning and data analytics in financial industry, healthcare, etc.

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

Read and pass five essential modules;
Read and pass five elective modules from the list of elective modules

Module List

Five Essential Modules

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 Modules

CS4248 Natural Language Processing
CS5224 Cloud Computing
CS5228 Knowledge Discovery and Data Mining
CS5344 Big-Data Analytics Technology
DSA5202 Advanced Topics in Machine Learning
DSA5203 Visual Data Processing and Interpretation
DSA5204 Deep Learning and Applications
DSA5206 Advanced Topics in Data Science

DSA5205 Data Science in Quantitative Finance
DSE4212 Data Science in FinTech
QF5204 Numerical Methods in Quantitative Finance
MA4230 Matrix Computation
MA4235 Topics in Graph Theory
MA5232 Modelling and Numerical Simulations
ST5201 Statistical Foundations of Data Science
ST5202 Applied Regression Analysis
ST5225 Statistical Analysis of Networks
SPH5104 Analytics for Better Health
SPH5411 Information Technology in Healthcare

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.

MSc in Financial Engineering

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 modular credits (MCs). Of these, there are five core (compulsory) modules and a compulsory financial engineering project equivalent to 4 MCs each. Candidates must also choose additional elective modules. There are also elective modules 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:

Read and pass the following six essential modules:
- 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
Read and pass four or more elective modules, totaling a minimum of 16 modular credits, 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 Cumulative Average Point (CAP) 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 modules, students will meet teaching staff 12 times for each module. 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 Cumulative Average Point (CAP) of 3.00 to remain in good standing.

MSc in Food Science and Human Nutrition

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 MCs with the following criteria:

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

Cluster of modules for Food Science/Technology
Code	Module Description	Credit
FST5201	Rheology and Textural Properties of Biomaterials	4MC
FST5202A	Modern Food Fermentation	4MC
FST5203A	Advanced Food Microbiological Analysis and Food Safety	4MC
FST5205A	Smart & Sustainable Food Processing and Engineering	4MC
FST5206	Advanced Food Toxicology and Chemical Safety	4MC
FST5207	Introduction to Advanced Meat Alternatives	4MC
FST5225	Advanced Current Topics in Food Science I	4MC
FST5226	Advanced Current Topics in Food Science II	4MC
FST5227	Advanced Current Topics in Food Science III	4MC
FST5228	Advanced Current Topics in Food Science IV	4MC
CM5241*	Modern Analytical Techniques	4MC
CM5245*	Bioanalytical Chemistry	4MC
Cluster of modules for Nutrition
FST5301A	Scientific Principles of Nutraceuticals	4MC
FST5302	Food, Nutrition and Health	4MC
FST5303A	Science in Clinical Nutrition	4MC
SPH5003*	Health Behaviour and Communication	4MC
SPH5202*	Control of Non-Communicable Diseases	4MC
SPH5406*	Contemporary Global Health Issues	4MC
Core curriculum
FST5198	Advanced Food Science and Nutrition Seminar	4MC
FST5199A	MSc Research Project	8MC
FST5199B	Integrated Food Research Lab	8MC

*Subject to availability of quota and prerequisite requirements.

Programme Intake

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

MSc in Forensic Science

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 CAP 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:

Read and pass the following two essential modules:
- FSC5199 Research Project in Forensic Science
- FSC5101 Survey of Forensic Science
Read and pass five* elective modules 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
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

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

Programme Intake

There is one intake per academic year, in August.

MSc in Mathematics

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 MCs), 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 MCs), 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

EITHER
- Read and pass two MA modules at Level 4000 (or above) and eight MA modules at Level 5000 (or above);
  OR
- Read and pass two MA modules at Level 4000 (or above), six MA modules at Level 5000 (or above), and complete an individual project and written report (equivalent to 8 MC) over a maximum period of two semesters.
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

Track 2

EITHER
- Read and pass two MA modules at Level 3000 (or above), nine MA modules at Level 4000 (or above) and nine MA modules at Level 5000 (or above);
  OR
- Read and pass two MA modules at Level 3000 (or above), nine MA modules at Level 4000 (or above), seven MA modules at Level 5000 (or above), and complete an individual project and written report (equivalent to 8 MC) over a maximum period of two semesters.
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

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.

Programme Intake

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

MSc in Pharmaceutical Science and Technology

NUS Department of Pharmacy 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 modules 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.

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 modules 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 modular credits (MC), comprising 20MC of core modules and 20MC of elective modules:

20MC of Core Modules:

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

20MC of Elective Modules; To be chosen from any of the following:

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

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 modular credits (MC), comprising 20MC of core modules and 20MC of elective modules, and have achieved a CAP of at least 3.00.

Programme Intake

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

MSc in Physics

The Master of Science in Physics will be offered as a self-funded coursework programme with effect from Semester 1, AY 2022/2023 (August 2022). Students may enroll in Full-Time and Part-Time basis..

Programme Objectives

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 modules for MSc Physics students.
Graduates of this programme have various career options. They can join institutes, universities or government agencies as research associates, educators, or take jobs like staff scientists, R&D managers, project managers, etc. in the private sector.
A solid MSc Physics course as a boost program to prepare for Physics PhD studies afterwards.
Opportunities for Physics teachers and other professionals to further upgrade their professional skills and qualifications.

Admission requirements

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

Track 1 is a 40-modular credit (MC, with 4 MCs acquired from each standard module) programme, aiming for students with 4-year BSc degree in Physics or Applied Physics. A full-time student can complete the programme within one year while a part-time student may take two to three years to complete.
Track 2 is an 80-MC programme, aiming for students completed 3-year Physics or Applied Physics studies, or 4-year bachelor studies in other related specialization.

English skill requirement : A candidate whose medium of undergraduate instruction is not English is required to submit TOEFL (with the minimum score 85 for the internet-based test) or IELTS (with the minimum score 6.0) scores.

Necessary financial resource available.

Programme Structure

Track 1 – 40MC

Read and pass 40MCs - PC5XXX or QT5XXX modules (excluding PC5198)
Up to two modules (8 MCs) can be from level 4000 PC modules
Up to two modules (8 MCs) can be level 5000 modules offered by other departments, subject to approval.
Students may choose to complete a research project in lieu of modules - PC5286 equivalent to 8 MCs

Track 2 – 80MC

Read and pass 80MCs - PC5XXX or QT5XXX modules (excluding PC5198)
Up to two modules (8 MCs) can be level 5000 modules offered by other departments, subject to approval.
Up to nine modules (36MCs) can be from level 4000 PC modules
Up to two modules (8MCs) can be from level 3000 PC modules
Students may choose to complete a research project in lieu of modules - PC5286 equivalent to 8 MCs

Period of Candidature

For full-time Track 1 candidates, the typical candidature of the MSc programme is one year. The maximum period of candidature is two years.
For full-time Track 2candidates, the typical candidature of the MSc programme is two years. The maximum period of candidature is three years.
For part-time Track 1candidates, the maximum period of candidature is three years.
For part-time Track 2candidates, the maximum period of candidature is five years.

Programme Intake

One intake per academic year in August.

MSc in Physics for Technology

The Master of Science in Physics for Technology (MPT) is a self-funded coursework programme with effect from Semester 1, AY 2021/2022 (August 2021). It can be enrolled in Full-Time and Part-Time basis.

The Master of Science in Physics for Technology (MPT) is a multi-disciplinary program that offers the 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, and computational methods. The MPT strives to shape 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

Applicants have completed a Bachelor of Science (BSc) degree in Physics or Applied Physics.
Applicants with a Bachelor’s degree in Engineering with a specialisation on semiconductors, electronics, photonics, or materials science may also be considered.
Applicants whose native tongue or medium of undergraduate instruction is not English must have a TOEFL and IELTS score of minimum 85 or 6.0, respectively.
Candidates with other qualifications and achievements deemed to be suitably prepared for the MPT programme may also be considered.

Programme Structure

Each candidate has to complete 40 Modular Credit (MCs) : 20 MCs from the compulsory modules and project, plus 5 other modules among the list of electives. A minimum Cumulative Average Point (CAP) of 3.00 is required for graduation.

Core Modules

Students must complete 4 core modules (total 20 MCs):

PC5101 Physics and Technology (4 MCs)
PC5102 Physics Practices in Industry (4 MCs)
PC5204 Special Topics in Physics: Magnetism and Spintronics (4 MCs)
PC5287 MSc Coursework Thesis for Physics and Technology (8 MCs)

Elective Modules

Students are required to complete 5 elective modules (total 20MCs), excluding PC5286 (MSc Physics Coursework Project) and PC5198 (Graduate Seminar Module in Physics). Students can take a maximum of two level 4000 (PX4xxx) modules.

The list of elective modules are:

Module Code	Module Title	MCs
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
PC4242	Electricity and Magnetism III	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
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
PC5212	Physics of Nanostructures	4
PC5213	Advanced Biophysics	4
PC5214	Essential Techniques in Experimental Physics	4
PC5215	Numerical Recipes with Applications	4
PC5216	Advanced Atomic and Molecular Physics	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
PC5271	Physics of Sensors	4
PC5274	Advanced Mathematical Methods in Physics	4
QT5201S	Quantum Electronics	4

Cross-faculty/department modules

Students may take up to two level 4000 or 5000 modules (8MCs) not in the curriculum to fulfil the graduation requirement. The registration for any cross-faculty/department module is subject to approval by both the programme and the department that offers the module. CQT modules are not considered cross-faculty/department modules.

Graduate Certificates

The curricula for Graduate Certificates are grouped into five key clusters: 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 modules from one cluster may be issued a Graduate Certificate.

Materials Cluster:

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

Quantum Technologies Cluster:

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

Semiconductor Technologies Cluster:

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

Photonics Technologies Cluster:

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

Big Data in Physical Sciences Cluster:

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

Period of Candidature

For full-time candidates, the typical candidature of the MSc programme is one year, in line with other 40-MC Masters programmes within the university. The maximum period of candidature is two years.

For part-time candidates, the typical candidature of the MSc programme is two years, in line with other 40-MC Masters programmes within the university. The maximum period of candidature is four years.

Programme Intake

The NUS MPT programme has one intake per year, with candidates joining in August every year.

MSc in Quantitative Finance

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 modules:

- MA5248/ MA5248A Stochastic Analysis in Mathematical Finance
- QF5202/ QF5202A Structured Products
- QF5203/ QF5203A Risk Management
- QF5209/ QF5209A Financial Derivatives: Modelling and Computation
- QF5210/ QF5210A Financial Time Series: Theory and Computation

2.Read and pass five elective modules chosen from the following list:

- 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/ QF5205A Topics in Quantitative Finance I
- QF5206/ QF5206A Topics in Quantitative Finance II
- QF5207/ QF5207A Investment and Portfolio Selection
- QF5208 AI & FinTech
- QF5211/ QF5211A Monte Carlo Methods in 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 Non-parametric regression
- ST5227 Applied Data Mining

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

Notes :
Modules with codes MAxxxx or QFxxxx are offered by the Department of Mathematics.
Modules with codes QF5xxx (except QF5210) are offered exclusively to students in the Master of Science in Quantitative Finance programme.
Modules with codes ECAxxxx are offered by the Department of Economics.
Modules with codes STxxxx are offered by the Department of Statistics and Data Science.

Candidature & Application

Programme Intake

There is one intake per academic year in August.

MSc in Statistics

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

Module Code	Module Title	MCs	SSG-funded
Core Modules — Students must complete 5 modules. (Total: 20 MCs)
ST5201X	Statistical Foundations of Data Science	4 MC
ST5202X	Applied Regression Analysis	4 MC
ST5209X	Analysis of Time Series Data	4 MC
ST5211X	Sampling from Finite Populations	4 MC
ST5188	Statistical Research Project	4 MC
Elective modules — Students are required to complete any 5 modules. (Total: 20 MCs) Up to two elective modules (8 units) may be replaced by level 5000 modules from other departments, subject to approval from both departments.
ST5203	Design of Experiments for Product Design and Process Improvements	4 MC	√
ST5207	Nonparametric Regression	4 MC	√
ST5208	Analytics for Quality Control and Productivity Improvements	4 MC	√
ST5210	Multivariate Data Analysis	4 MC	√
ST5212	Survival Analysis	4 MC	√
ST5213	Advanced Categorical Data Analysis (formerly known as Categorical Data Analysis II prior to Semester 2, AY2023/24)	4 MC	√
ST5218	Advanced Statistical Methods in Finance	4 MC	√
ST5221	Stochastic Processes and Applications (formerly known as Probability and Stochastic Processes prior to Semester 1, AY2024/25)	4 MC	√
ST5225	Statistical Analysis of Networks	4 MC	√
ST5226	Spatial Statistics	4 MC	√
ST5227	Applied Statistical Learning (formerly known as Applied Data Mining prior to Semester 2, AY2023/24)	4 MC	√
ST5229	Deep Learning in Data Analytics (newly introduced course in Semester 2, AY2023/24)	4 MC	X
ST5290	Data Science Industry Project (newly introduced course in Semester 1, AY2024/25)	4 Units	Χ

Course of Study

The programme will be conducted by coursework. Modules will be conducted during the university semesters. Most of the level-5000 modules 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.

Doctor of Pharmacy (PharmD)

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 4-6 academic years. The didactic component may be completed over a period of 22 to 34 months followed by the clerkship rotations during the following 2 to 3 academic years, by completing 2-3 rotations per academic year.

Curriculum

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

Didactic Coursework

Essential Modules (38 MC)

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

Elective Modules (6 MC) – undertake 3 elective modules to make up 6 MC

PR5230A Pharmacoecomomics (2 MC)
PR5230B Outcomes Research (2 MC)
PR5237 Management of Older Patients (2 MC)
PR5131A Advanced Pharmacotherapy IIA (2 MC)
- Emergency medicine and critical care
PR5132A Advanced Pharmacotherapy IIIA (2 MC)
- Haematology and immunology
PR5234A Concepts in Pharmacogenomics (2 MC)

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 modules, and to develop the clinical skills necessary to provide advanced pharmaceutical care.

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

Elective clerkships (20 MC) (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 MC)
- PR5251 Elective Clerkship II (5 MC)
- PR5252 Elective Clerkship III (5 MC)
- PR5253 Elective Clerkship IV (5 MC)

Graduation Requirements

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