BSDA Curriculum AY2025 Intake
| Biological Sciences with 2nd major in Data Analytics Requirements | ||
|---|---|---|
| Type | No of AU | |
| Major Requirements | Core | 39 |
| Major Prescribed Electives (PE) | 33 | |
| Interdisciplinary Collaborative Core | Common Core | 14 |
| Professional Series | 16 | |
| Care, Serve, Learn | 3 | |
| Broadening and Deepening Electives (BDE) | Broadening & Deepening Electives | 32 |
| Total | 137 | |
BS Core & ICC Core Courses
| Year 1 Semester 1 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| Core | BS1012 | Foundations of Chemistry I | 3 | |
| Core | BS1016 | Physiology | 3 | |
| Core | BS1008 | Biostatistics | 3 | |
| ICC (Common Core) | CC0001
| Inquiry and Communication in an Interdisciplinary World | 2 | |
| ICC (Common Core) | CC0003 | Ethics & Civics in a Multi-Cultural World | 2 | |
| ICC (Common Core) | CC0015 | Health & Wellbeing | 2 |
** You 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 | |
| ICC (Care, Serve, Learn) | TBC | Care, Serve, Learn (CSL) | 3 | |
| ICC (Common Core) | CC0006 | Sustainability: Society, Economy & Environment | 3 | |
| ICC (Professional Series) | HW0218 | Communication Across the Sciences | 2 |
| Year 3 Semester 1 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| ICC (Professional Series) | MLxxxx | Profession Preparation Course | 1 |
| Year 3 Semester 2 | Type | Course Code | Course Title | AU |
|---|---|---|---|---|
| ICC (Professional Series) | BS4227 | Professional Internship | 10 |
Major Prescribed Electives
| Starting from Year 2 Sem 1 to Year 4 Sem 2 (Semester 1 or 2) | Type | Courses | AU |
|---|---|---|---|
| MPE | 33 (21) | ||
| Table B | |||
BS4020 Final Year Project or BS4021 Bi-Semestral Final Year Project. Students who opted for BS4020 Final Year Project (full semester) are not allowed to read any course in the particular semester. Students who opted for BS4021 Bi-Semestral FYP are allowed to read 3 courses (9AU) in each semester. BS4021 Bi-Semestral FYP must start in Year 4 Sem 1.
| 12 |
AU figures in brackets (x) indicate the number of AU for MPE courses if a Full Semester (BS4020 FYP or BS4021 Bi-Semestral FYP) is selected.
Compulsory Second Major in DA Courses
| 7 COMPULSORY COURSES (1 course in each knowledge area) | ||
|---|---|---|
| Knowledge Area | Courses | Semester |
| Probability and Statistics | MH2500 Probability & Introduction to Statistics# (4AU) | Sem 1 |
| Linear Algebra | MH2802 Linear Algebra for Scientists (3AU) | Sem 1 |
| Data Analysis / Computing | BS1009 Introduction to Computational Thinking (3AU) | Sem 2 |
| Algorithms | MH1403 Algorithms and Computing (3AU) | Sem 2 |
| Database (Choose 1) | BC2402 Designing & Developing Databases (4AU) | Sem 1 |
| EE4791 Database Systems (3AU) | Sem 2 | |
| SC2207 Introduction to Database* (3AU) | Sem 1 & 2 | |
| 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 | |
| Data Visualisation / Management (Choose 1) | BC2406 Analytics I: Visual and Predictive Techniques* (4AU) | Sem 1 |
| SC4023 Big Data Management* (3AU) | Sem 2 | |
| SC4023 Big Data Management* (3AU) | Sem 1 | |
| Total Minimum 22 AUs | ||
# 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 is 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
Minimum 9 AUs
| 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 |
| 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 |
NTU reserves all rights to make changes to the programme structure with prior notice.
Click here to view outcome-based teaching and learning (OBTL) course information.
Click here to view the double-Count Policy for BSDA programme.
It is not mandatory to follow the suggested study year. Students can modify this study plan based on their learning needs.
More information on MOOC is at https://www.ntu.edu.sg/admissions/matriculation/mooc
Information is accurate at the time of publication. The University reserves all rights to make changes to the programme structure with prior notice.