Academic Structure
(Students Admitted from 2019/20 Onwards)
BSC-DSBI is a four-year degree programme consist of three major Study Areas: Common Core Requirement, Major Studies, and Free Electives. Students have to complete at least 40 modules (120 credits).
Outline of the Programme (Core Modules)
Year 1
Major Studies
- AMS1301 – Foundations of Data Science
- AMS1302 – Probability and Statistical Theory
- ECO1000 – Principles of Economics
- MGT1002 – Principles of Management
Common Core Requirement
Year 2
Major Studies
- ACY2001 – Financial Accounting
- AMS2002 – Optimisation for Data Science
- AMS2320 – Business Regression Analysis
- AMS2640 – Statistical Computing in Practice
- AMS3323 – Survey Sampling
- BUS2001 – Principles of Marketing
- COM2007 – Database Management System and Data Warehousing
Common Core Requirement
- 2 GE Cluster Electives
- CHN2001 – Applied Putonghua
- ENG2020 – English for Business Communication
Year 3
Major Studies
- AMS3301 – Simulation
- AMS3325 – Ethics and Official Statistics
- AMS3328 – Categorical Data Analysis
- AMS3640 – Data Mining
- FIN2001 – Financial Management
Common Core Requirement
- 2 GE Cluster Electives
Free Electives
- 3 Free Electives
Year 4
Major Studies
- AMS4322 – Financial Time Series for Business Intelligence
- AMS4328 – Data Audit and Imputation
- AMS4640 – Machine Learning
- BUS4009/MGT4001 – Business Policy and Strategy
Common Core Requirement
- 2 GE Cluster Electives
Free Electives
- 2 Free Electives
List of Highlighted Elective Modules
- AMS2020 – Financial Mathematics
- AMS3300 – Statistical Inference
- AMS3321 – Introductory Life Contingencies
- AMS3327 – Marketing Engineering
- AMS3329 – Credibility Theory
- AMS3600 – Design and Analysis of Experiments
- AMS4000 – Strategic Analysis and Modelling
- AMS4001 – Stochastic Analysis for Business
- AMS4323 – Survival and Loss Modelling
- AMS4324 – Construction and Evaluation of Actuarial Models I
- AMS4325 – Construction and Evaluation of Actuarial Models II
- AMS4660 – Selected Topics in Data Science and Business Intelligence
- AMS4661 – DSBI Research Project