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Programme Structure

 

A student studying must complete:
  • 6 compulsory subjects (18 credits) + 4 additional core subjects (12 credits), or
  • 6 compulsory subjects (18 credits) + 1 additional core subject (3 credits) + a dissertation (9 credits)
  • There is also a 1-credit compulsory subject: DSAI5T09 Academic Integrity and Ethics in Computer and Mathematical Sciences Science.

 

List of core subjects

Subject Code

Subject Title

AMA505

Optimization Methods

AMA514A

Applied Linear Models

AMA515A

Forecasting and Applied Time Series Analysis

AMA518

Simulation

AMA523

Optimal Control with Management Science Applications

AMA528

Probability and Stochastic Models##

AMA529

Statistical Inference##

AMA530

Mathematics of Finance

AMA531

Loss Models and Risk Analysis##

AMA532

Investment Science##

AMA533

Life Contingencies##

AMA534

Credibility Theory##

AMA535

Mathematics of Derivative Pricing

DSAI5101

Statistical Data Mining

AMA567

Quantum Computing for Data Science

AMA568

Advanced Topics in Quantitative Finance

AMA570

Current Topics in Actuarial Science

AMA580

Advanced Topics in InsurTech

AMA592

Dissertation

AF5312

Principles of Corporate Finance

## Compulsory subjects

Validation by Education Experience (VEE) credit: Mathematical Statistics

Subject Code Subject Name Start Date End Date Acceptable Grades Documentation Required
 AMA529 Statistical Inference   1/15/2018 12/31/2028
 A+,A,A-,B+,B,B- Original Official Transcript 

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