/enri-thumbnails/careeropportunities1f0caf1c-a12d-479c-be7c-3c04e085c617.tmb-mega-menu.jpg?Culture=en&sfvrsn=d7261e3b_1)
/cradle-thumbnails/research-capabilities1516d0ba63aa44f0b4ee77a8c05263b2.tmb-mega-menu.jpg?Culture=en&sfvrsn=1bc94f8_1)
7e6fdc03-9018-4d08-9a98-8a21acbc37ba.tmb-mega-menu.jpg?Culture=en&sfvrsn=7deaf618_1)
BSDA Curriculum AY2022 to AY2024 Intake
| Academic Unit (AU) Requirement for candidates admitted to BSDA programme | |
|---|---|
| Type | No. of AU |
| Core | 39 |
| Major PE | 33 |
| CC | 17 |
| FC | 15 |
| BDE (Free) | 4 |
| BDE (2nd major) - Core | 19 |
| BDE (2nd major) - Electives | 9 |
| TOTAL | 136 |
LEGEND: MPE = Major Prescribed Elective | CC= ICC (Common Core)|FC= ICC (Foundational Core)| BDE= Broadening and Deepening Elective
| Year 1 Semester 1 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Core | BS1012 | Foundations of Chemistry I | 3 | |
| Core | BS1016 | Physiology | 3 | |
| BDE (Free) | MH1802^ | Calculus for the Sciences | 4 | |
| Core | BS1008 | Biostatistics | 3 | |
| CC | CC0001
| Inquiry and Communication in an Interdisciplinary World | 2 | |
| CC | CC0003 | Ethics & Civics in a Multi-Cultural World | 2 | |
| CC | CC0005 | Healthy Living & Wellbeing | 3 | |
| TOTAL | 20 | |||
| Year 2 Semester 1 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Core | BS2002 | Microbiology | 3 | |
| Core | BS2003 | Biochemistry II | 3 | |
| Core | BS2028 | Biophysical methods applied to biological sciences | 3 | |
| BDE (BSDA-Core) | MH2500 | Probability & Introduction to Statistics | 4 | |
| FC | BS0004 | Introduction to Data Science | 3 | |
| CC | CC0007 | Science & Technology for Humanity | 3 | |
| TOTAL | 19 | |||
** Students may read MH2802 Linear Algebra for Scientists in Year 2 sem 1 or Year 3 sem 1.
| Year 2 Semester 2 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Core | BS2004 | Molecular & Cell Biology II | 3 | |
| CC | ML0004 | Career & Entrepreneurial Development for the Future World | 2 | |
| CC | CC0006 | Sustainability: Society, Economy & Environment | 3 | |
| FC | HW0218 | Communication Across the Sciences | 2 | |
| BDE (BSDA-Core) | MH1403 | Algorithms and Computing | 3 | |
| BDE (BSDA- Elective) | Elective | From Table C | 3 or 4 | |
| Major PE | BSxxxx | Major PE ( Table B) | 3 | |
| TOTAL | 19 to 20 | |||
| Year 3 Semester 1 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Major PE | BSxxxx | Major PE (Table B) | 9 | |
| BDE (BSDA-Core) | MH2802 ** | Linear Algebra for Scientists | 3 | |
| BDE (BSDA-Core) | Database | Either BC2402 Designing & Developing Databases (4AU) / EE4791 Database Systems (3AU) / SC2207 Introduction to Database* (3AU) | 3 or 4 | |
| BDE (BSDA-Core) | Data Visualization / Management | Either BC2406 Analytics I: Visual and Predictive Techniques* (4AU) / SC4023 Big Data Management* (3AU) / SC4024 Data Visualization* (3AU) | 3 or 4 | |
| Total | 18 to 20 | |||
** Students may read MH2802 Linear Algebra for Scientists in Year 2 sem 1 or Year 3 sem 1.
| Year 3 Semester 2 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| FC | BS4227 | Professional Internship | 10 | |
| TOTAL | 10 | |||
| Year 4 Semester 1 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Major PE | BSxxxx | Major PE (Table B below) | 9 | |
| BDE (BSDA-Core) | Data Mining | Either MH4510 Statistical Learning & Data Mining* (4AU) / EE4483 Artificial Intelligence & Data Mining* (3AU) / SC4020 Data Analytics and Mining* (3AU) | 3 or 4 | |
| BDE (BSDA- Elective) | Elective | From Table C below | 6 or 8 | |
| TOTAL | 18 to 21 | |||
| Year 4 Semester 2 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Major PE | BSxxxx | BS4020 FYP or Major PE (Table A below) | 12 | |
| TOTAL | 12 | |||
| Grand Total AU | 136 to 142 | |||
* The above curriculum is based on a 4 year B.Sc. (Hons) in Biological Science programme.
Table A - Major PE (Semester 2)
| Course Code | Course Title | Course AUs |
|---|---|---|
| BS2010 | Bioimaging | 3 |
| BS2025 | One Health | 3 |
| BS2011 | Equations of Life | 3 |
| BS3006 | Bioentrepreneurship | 3 |
| BS3008 | Computational Biology & Modelling | 3 |
| BS3013 | Drug discovery & development, biotechnology | 3 |
| BS3014 | Biological foundations of behavior | 3 |
| BS3022 | Protein Trafficking | 3 |
| BS3028 | Natural Products in Medicinal Chemistry | 3 |
| BS3036 | Fundamentals of Immunology- concepts and experiments | 3 |
| BS3104 | Pathology (病理学) | 3 |
| BS3332# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series I) – Methods in Histology | 3 |
| BS3335# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series I) – Protein behavior in health and disease – biophysical tools | 3 |
| BS3340# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series I) – Science of aging and life extension in C. elegans | 3 |
| BS3347# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series I) – Metabolomics and Lipidomics | 3 |
| BS4011 | Biology of Social Behavior | 3 |
| BS4018 | Biology of Aging and Neurodegeneration | 3 |
| BS4019 | Discovery and Development of Therapeutic Antibodies | 3 |
| BS4205 | Good Manufacturing Practice and Sterilisation for Medical Devices | 3 |
| AAB20D | Ecology | 3 |
| ES2303 | Introduction to Ecology | 3 |
| ES3307 | Experimental Design and Analysis | 3 |
| ES4303 | Marine and Aquatic Ecology | 3 |
# Major PE which is conducted during the 1-week term break.
Table B - Major PE (Semester 1)
| Course Code | Course Title | Course AUs |
|---|---|---|
| BS1101^^ | Basics of TCM (中医基础理论) | 6 |
| BS1200 | Understanding Singapore Healthcare System | 3 |
| BS2023 | Regulatory Control of Healthcare Products and Medical Devices | 3 |
| BS2024 | Evolution in Health and Disease | 3 |
| BS2100 | Molecular and Cell Biology Techniques Level 2 | 3 |
| BS2103^^ | TCM Diagnostics (中医诊断学) | 6 |
| BS2011 | Equations of Life | 3 |
| BS3001 | Neurobiology | 3 |
| BS3003 | Developmental biology | 3 |
| BS3004 | Cancer biology and Therapy | 3 |
| BS3018 | Plant biology | 3 |
| BS3027 | Spectroscopic Methods in Biomedical Structural Biology | 3 |
| BS3037 | Virology | 3 |
| BS3038 | Intellectual Property Rights Related to BioBusiness | 3 |
| BS3202 | Commercialization of Molecular and Cell Biology Techniques | 3 |
| BS3331# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series I) – Applied Immunology | 3 |
| BS3338# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series II) – Effect of Anti-mitotic Drugs on Cancer Cells | 3 |
| BS3342# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series II) – Role of Actin cytoskeleton regulators in metastasis | 3 |
| BS3344 | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series II) – Macromolecular X-ray Crystallography | 3 |
| BS3348# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series II) – Field Studies in Functional Plant Ecology (On Hold) | 3 |
| BS3349# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series II) – Introduction to R programming | 3 |
| BS3350# | Undergraduate Advanced Experimental Biology (UAEB) Workshop (Series II) – The Toolbox of Modern Genome Editing | 3 |
| BS4002 | Current topics in cell biology | 3 |
| BS4010 | Synthetic Biology | 3 |
| BS4014 | Molecular Basis of Diseases | 3 |
| BS4015 | Plant Biotechnology | 3 |
| BS4016 | Advanced Virology (On Hold) | 3 |
| BS4017 | High-Throughput Bioinformatics | 3 |
| BS2901++ | Research Experience | 3 |
| BG4215 | Biomedical Nanotechnology | 3 |
| CH4306 | Bioanalytical Techniques | 3 |
| ES2304 | Microbes on natural ecosystems | 3 |
| ES3302 | Tropical Ecology | 3 |
# UAEB Workshop which is conducted during the 1-week term break or before the term starts.
^^ BS1101 / BS2103 is counted as 3AU MPE.
++ Recommended Major PE which is conducted during the inter-semestral break. Completion of BS2901 will allow you to do one less Major PE in any of the future semesters. Registration of BS2901 will be done by the School. It is a pass/fail course.
Compulsory Second Major in DA Courses
The total AU for the Second Major (excluding BS1009 double-counted) must be at least 28.
| KNOWLEDGE AREA | COURSES | SEMESTER |
|---|---|---|
| 7 COMPULSORY COURSES (1 course in each knowledge area) | ||
| 1) Probability and Statistics | MH2500 Probability & Introduction to Statistics# (4AU) | Sem 1 |
| 2) Linear Algebra | MH2802 Linear Algebra for Scientists (3AU) | Sem 1 |
| 3) Data Analysis / Computing | BS1009 Introduction to Computational Thinking (3AU) | Sem 2 |
| 4) Algorithms | MH1403 Algorithms and Computing (3AU) | Sem 2 |
| 5) Database (Choose 1) | BC2402 Designing & Developing Databases (4AU) | Sem 1 |
| EE4791 Database Systems (3AU) | Sem 2 | |
| SC2207 Introduction to Database* (3AU) | Sem 1 & 2 | |
| 6) Data Mining (Choose 1) | MH4510 Statistical Learning & Data Mining* (4AU) | Sem 1 |
| EE4483 Artificial Intelligence & Data Mining* (3AU) | Sem 1 | |
| SC4020 Data Analytics and Mining* (3AU) | Sem 1 | |
| 7) Data Visualisation / Management (Choose 1) | BC2406 Analytics I: Visual and Predictive Techniques* (4AU) | Sem 1 |
| SC4023 Big Data Management* (3AU) | Sem 2 | |
| SC4024 Data Visualization* (3AU) | Sem 1 | |
# MH1802 (pre-requisite for MH2500), the course will be pre-registered in Y1S1 as free BDE.
* Prerequisites apply. View approved prerequisite mappings below
The following BS course are double-counted towards both Core and Second Major requirements:
| BS1009 Introduction to Computational Thinking | 3 AU |
Second Major in DA Electives
Table C (BDE for 2nd major) - To choose at least 3 courses
| Course Code & Title | No. of AU |
|---|---|
| MH3400 - Algorithms for the Real World* | 4 |
| MH3500 - Statistics* | 4 |
| MH3510 - Regression Analysis* | 4 |
| MH3511 - Data Analysis with Computer* | 3 |
| MH3701 - Basic Optimization* | 4 |
| MH4302 - Theory of Computing* | 4 |
| MH4320 - Computational Economics* | 4 |
| MH4500 - Time Series Analysis* | 4 |
| MH4511 - Sampling & Survey* | 4 |
| MH4512 - Clinical Trials* | 4 |
| MH4513 - Survival Analysis* | 4 |
| MH4702 - Probabilistic Methods in OR* | 4 |
| BC2407 - Analytics II: Advanced Predictive Techniques* | 4 |
| BS3008 - Computer Aided Drug Discovery* | 3 |
| BS4017 - High-Throughput Bioinformatics* | 3 |
| CH4244 - Numerical Method and Data Analytics* | 3 |
| CM4043 - Molecular Modelling: Principles and Applications* | 3 |
| CM4044 - Artificial Intelligence in Chemistry* | 3 |
| EE4414 - Machine Learning Design & Application* | 3 |
| EE4497 - Pattern Recognition & Machine Learning | 3 |
| ES2001 - Computational Earth Systems Science* | 4 |
| MA4829 Machine Intelligence | 3 |
| MA4830 Real Time Software for Mechatronics System | 3 |
| MA4832 Microprocessor System | 3 |
| MS4671 Introduction to Materials Simulation | 3 |
| SC3020 - Database System Principle* | 3 |
| SC4001 - Neural Network and Deep Learning* | 3 |
| SC4002 - Natural Language Processing* | 3 |
| SC4021 - Information Retrieval* | 3 |
| SC4022 - Network Science* | 3 |
* Prerequisites apply. View approved prerequisite mappings below.
The following two elective courses can be used for double-counting towards both Major Prescribed Elective and the Second Major Elective Requirement.
| BS3008 Computer Aided Drug Discovery | 3 AU |
| BS4017 High-Throughput Bioinformatics | 3 AU |
Approved Prerequisite Mappings
| Course | Offering School | Prerequisite(s) | Approved Mapping for BSDA |
|---|---|---|---|
| MH1403 | SPMS | PS0001 | BS1009 |
| SC2207 | SCSE | SC2001 | MH1403 |
| SC4002 | SCSE | SC2001 | MH1403 |
| SC4020 | SCSE | SC2001 | MH1403 |
| SC4022 | SCSE | SC2001 | MH1403 |
| SC4024 | SCSE | SC1003 & SC2000 | BS1009 & MH2500 |