The applications of statistical data science range from economics and medicine, to social and environmental sciences. Our BSc in Statistical Data Science provides a blend of both theoretical and applied elements of modern statistics, and aims to give students the training in modelling, analysing and interpreting real data that is required in the economy, industry and research. The first year of the programme cover basic mathematics, probability and statistics. The final two years focus on specialist topics of statistical modelling and advanced courses in mathematics and data science. A variety of statistical computer packages are used.
**Maybe subject to additional school assessment.
English language requirements
If English is not your first language, then evidence of proficiency equivalent to IELTS 6.0 is required.
If you do not have IELTS 6.0, we offer a Pre-Sessional English Programme (PSEP) prior to commencing your studies.
Multivariable Calculus and Real Analysis A
Actuarial and Financial Mathematics A
Probability and Statistics A
Multivariable Calculus and Real Analysis B
Actuarial and Financial Mathematics B
Probability and Statistics B
Finance and Financial Reporting
Operations Management (Elective)
Statistical Models A
Statistics for Social Science
Portfolio Theory and Asset Models (Option)
Human Resource Management (Elective)
Statistical Models B
Bayesian Inference & Computational Methods
Derivative Markets and Discrete-time Finance (Option)
Ordinary Differential Equations (Option)
Statistical Dissertation A
Statistical Machine Learning
Continuous-Time Finance (Option)
Statistical Computing (Option)
Project Management (Elective)
Time Series Analysis
Statistical Dissertation B
Risk Theory (Option)
Statistics Special Topic (Option)
Risk Management: Techniques and Tools (Option)