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 at least two Graduate Certificate (GC) tracks/clusters;

Module List

Five Essential Modules

CS5224 Cloud Computing
DSA4212 Optimisation for Large-Scale Data-Driven Inference
DSA5101 Introduction to Big Data for Industry
DSA5102X Foundations of Machine Learning
DSA5201 DSML Industry Consulting and Applications Project

Five Elective Modules

Graduate Certificate in Deep Learning for Data Scientists

DSA5202 Advanced Topics in Machine Learning
DSA5204 Deep Learning and Applications (or CS5242 Neural Networks and Deep Learning)

Graduate Certificate in Data Mining for Industry

CS5228 Knowledge Discovery and Data Mining
ST5227 Applied Data Mining

Graduate Certificate in Big Data for Industry

CS5344 Big-Data Analytics Technology
ST5201 Statistical Foundations of Data Science

Graduate Certificate in Computer Vision

CS4243 Computer Vision and Pattern Recognition
CS5240 Theoretical Foundation of Multimedia
DSA5203 Visual Data Processing and Interpretation

Graduate Certificate in Data Science for Quantitative Finance

QF5204 Numerical Methods in Quantitative Finance
DSA5205 Data Science in Quantitative Finance
ST5202 Applied Regression Analysis

Graduate Certificate in Health Informatics

SPH5104 Analytics for Better Health
SPH5411 Information Technology in Healthcare
SPH5414 Informatics for Health

Cluster in Mathematics

MA4230 Matrix Computation
MA5232 Modeling and Numerical Simulations
MA5266 Optimization

Cluster in Statistics

ST5207 Nonparametric Regression
ST5210 Multivariate Data Analysis
ST5225 Statistical Analysis of Networks

Cluster in Computing

CS4248 Natural Language Processing
CS5234 Algorithms at Scale
CS5246 Text Mining
CS5425 Massive Data Processing Techniques in Data Science
IS5152 Data Driven Decision Making

Cluster in Engineering

EE5022 Cyber Security for Internet of Things
EE5024 IoT Sensor Networks
EE5025 Intellectual Property: Innovations in IoT
EE5027 Statistical Pattern Recognition

3. Obtain a minimum Cumulative Average Point (CAP) 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 or whose tertiary education is not conducted in English must have a TOEFL score of ≥85 (Internet-based with at least 22 for the writing component) 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
FST5202/ FST5202A^	Advanced Food Fermentation/ Modern Food Fermentation^	4MC
FST5203/ FST5203A^	Advanced Food Microbiology and Safety/ Advanced Food Microbiological Analysis and Food Safety^	4MC
FST5205/ FST5205A^	Frontiers of Food Processing and Engineering/ 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
FST5301/ FST5301A^	Evidence Based Functional Foods/ Scientific Principles of Nutraceuticals^	4MC
FST5302	Food, Nutrition and Health	4MC
FST5303/ FST5303A	Modern Human Nutrition/ 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
FST5199	MSc Research Project	12MC
FST5199A	MSc Research Project	8MC
FST5199B	Integrated Food Research Lab	8MC

^From AY2021/2022 Semester 1 onwards, the modules with the suffix ‘A’ (i.e. FST5202A) will be offered in place of the corresponding modules without the suffix ‘A’ (i.e. FST5202).

*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/SP4261 Articulating Probability and Statistics in Court
- FSC4202/SP4262 Forensic Human Identification
- FSC4203/SP4263 Forensic Toxicology and Poison
- FSC4204A/SP4264 Criminalistics: Evidence and Proof
- FSC4204B/SP4265 Criminalistics: Forgery Expose with Forensic Science
- FSC4205/SP4266 Forensic Entomology
- FSC4206/LL4362V 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 seven 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 part-time course-work based programme was initiated 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 in Singapore. To make our students relevant in the future pharmaceutical / biopharmaceutical industry, we have adopted a broad-based approach in our curriculum, to encompass the various stages of pharmaceutical/biopharmaceutical development.

Prospective students who are already working in or aspiring to enter the pharmaceutical / biopharmaceutical industry are invited to apply for this programme. Currently, the programme is only available in the part-time mode and students are allowed up to 4 years to complete the programme. Upon graduation, the graduates are capable of contributing in various aspects of the pharmaceutical / biopharmaceutical industry, ranging from research, formulation, processing, manufacturing, quality assurance, product management and regulatory compliance.

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

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)

Candidates, who do not have Honours classification in the degree pre-requisites as stipulated above, may apply for admission with GRE results. Candidates, who hold equivalent degrees from overseas universities, may apply for admission with GRE and TOEFL results. 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/

Programme Structure

Candidates admitted into the Master’s degree programme must read and pass a total of 10 modules (40 MC), comprising 5 core modules and 5 elective modules:

5 Core Modules, 4 MCs each:

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

5 Elective Modules, 4 MCs each; To be chosen from any of the following:

PR5213 Pharmaceutical Process Validation
PR5214 Advances in Tablet Technology
PR5216 Advances in Drug Delivery
PR5219 Product Development & Quality Management (new course title w.e.f. AY2020/2021, formerly known as “Product Quality Management”)
PR5220 Bioprocess Technology
PR5224 Pharmacoepidemiology
PR5225 Preformulation Science
PR5230 Pharmacoeconomics and Outcomes Research
GMS5011 Fundamentals of Pharmaceutical Regulation (offered by Centre of Regulatory Excellence (CoRE), Duke-NUS Medical School)
GMS5012 Chemistry, Manufacturing and Controls (offered by Centre of Regulatory Excellence (CoRE), Duke-NUS Medical School)

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

Graduation Requirements

To graduate with the degree in Master of Science (Pharmaceutical Science and Technology), candidates must 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 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 on a Full-Time or 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 (B.Sc.) 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, 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

The elective modules are grouped into four key clusters: Materials, Quantum Technologies, Semiconductor Technologies and Photonic Technologies. Students are required to complete five elective modules (total 20 MCs). Students may read any five modules but they can take a maximum of two level 4000 (PC4XXX) modules.

Materials Cluster:

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)

Photonics Technologies Cluster:

PC4236 Computational Condensed Matter Physics (4 MCs)
PC4240 Solid State Physics II (4 MCs)
PC4246 Quantum Optics (4 MCs)
PC5247 Photonics II (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 Applied Probability. 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 or 580 for the paper-based test, or 260 for the computer-based test; while a minimum IELTS score of 6.0 is required.

Programme Structure

Students have to fulfil all the following conditions:

Read and pass the following five essential modules:
- MA4269 Mathematical Finance II
- QF4102 Financial Modelling and Computation
- QF5202 Structured Products
- QF5203 Risk Management
- QF5210 Financial Time Series: Theory and Computation
Read and pass five elective modules chosen from the following list:
- DSA5205 Data Science in Quantitative Finance
- MA5233 Computational Mathematics
- MA5248 Stochastic Analysis in Mathematical Finance
- QF5201 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 & FinTech
- QF5401 Graduate Internship in Quantitative Finance I
- QF5402 Graduate Internship in Quantitative Finance II
- EC5102 Macroeconomic Theory
- EC5103 Econometric Modelling & Applications I
- ECA5334 Corporate Finance
- ST5207 Non-parametric regression
- ST5210 Multivariate Data Analysis
- ST5218 Advanced Statistical Methods in Finance
Obtain a minimum Cumulative Average Point (CAP) of 3.00.

Modules coded 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 coded ECxxxx or ECAxxxx are offered by the Department of Economics.

Modules coded STxxxx are offered by the Department of Statistics and Applied Probability.

Candidature & Application

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.

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

Bachelor (Honours) degree or a 4-year Bachelor’s degree in Mathematics, Applied Mathematics, Engineering, Statistics, Biostatistics, Quantitative Finance, Computer Science, Physics etc. Candidates with degrees in other major areas or qualifications may be considered on a case-by-case basis, subject to approval by the department.
Good grades in undergraduate Mathematics modules that include Multivariate Calculus, Linear Algebra and Probability.
A candidate whose medium of undergraduate instruction is not English are required to submit TOEFL (with the minimum score of 85 for the internet-based test) or IELTS (with the minimum score of 6.0) scores.

Programme Structure

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

Module Code	Module Title	MCs	SSG-funded or not
Core Modules — Students must complete 5 modules (including ST5188) out of the following 7 core non SSG-funded modules (total 20 MCs)
ST5201X	Statistical Foundations of Data Science	4 MCs
ST5202X	Applied Regression Analysis	4 MCs
ST5209X	Analysis of Time Series Data	4 MCs
ST5211X	Sampling from Finite Populations	4 MCs
ST5215	Advanced Statistical Theory	4 MCs
ST5223	Statistical Models: Theory/Applications	4 MCs
ST5188	Statistical Research Project	4 MCs
Elective Modules — Students are required to complete any five modules (total 20 MCs). Up to two elective modules (8 MCs) may be replaced by level 5000 modules from other departments. Please note that this is subject to approval from both departments.
Graduate Certificate in Quality Assurance and Yield Optimisation (Choose 2 out of 4)
ST5203	Design of Experiments for Product Design and Process Improvements	4 MCs	√
ST5208	Analytics for Quality Control and Productivity Improvements	4 MCs	√
ST5210	Multivariate Data Analysis	4 MCs	√
ST5212	Survival Analysis	4 MCs	√
Graduate Certificate in Statistics for Business and Finance (Choose 2 out of 4)
ST5207	Nonparametric Regression	4 MCs	√
ST5213	Categorical Data Analysis II	4 MCs	√
ST5218	Advanced Statistical Methods in Finance	4 MCs	√
ST5221	Probability and Stochastic Processes	4 MCs	√
Graduate Certificate in Statistics for Data Science (Choose 2 out of 3)
ST5225	Statistical Analysis of Networks	4 MCs	√
ST5226	Spatial Statistics	4 MCs	√
ST5227	Applied Data Mining	4 MCs	√
Graduate Certificate in Data Mining and Interpretation
DSA5203*	Visual Data Processing and Interpretation	4 MCs	√
ST5227	Applied Data Mining	4 MCs	√
Graduate Certificate in Data Mining for Industry
CS5228*	Knowledge Discovery and Data Mining	4 MCs
ST5227	Applied Data Mining	4 MCs	√

*Level 5000 modules from other departments are subject to approval and availability.

Course 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 six 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 upto 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 2 to 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.