Our programme is accredited by the Royal Statistical Society. It is possible for students who have completed the programme to apply for some exemptions from the Institute and Faculty of Actuaries professional examinations.

No

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.

Course content

Year 1

• Probability and Statistics A & B
• Linear Algebra
• Actuarial and Financial Mathematics A & B
• Multivariable Calculus and Real Analysis A & B
• Algorithmic and Scientific Programming

Optional and elective courses available for Year 1 include:

• Finance and Financial Reporting
• Database Management Systems

Year 2

• Stochastic Processes
• Statistical Models A
• Statistics for Social Science
• Survival Models
• Statistical Models B
• Bayesian Inference & Computational Methods

Optional courses available for Year 2 may include:

• Portfolio Theory and Asset Models
• Derivative Markets and Discrete-time Finance
• Ordinary Differential Equations
• Introduction to Interactive Design

Year 3

• Optimisation
• Statistics Dissertation A
• Statistical Machine Learning
• Time Series
• Statistics Dissertation B

Optional courses available for Year 3 may include:

• Artificial Intelligence and Intelligent Agents
• Big Data Management
• Continuous-Time Finance
• Data Assimilation
• Risk Theory
• Statistics Special Topic

  Course content

  Year 1

  • Probability and Statistics A & B
  • Linear Algebra
  • Actuarial and Financial Mathematics A & B
  • Multivariable Calculus and Real Analysis A & B
  • Algorithmic and Scientific Programming

  Optional and elective courses available for Year 1 include:

  • Finance and Financial Reporting
  • Database Management Systems

  Year 2

  • Stochastic Processes
  • Statistical Models A
  • Statistics for Social Science
  • Survival Models
  • Statistical Models B
  • Bayesian Inference & Computational Methods

  Optional courses available for Year 2 may include:

  • Portfolio Theory and Asset Models
  • Derivative Markets and Discrete-time Finance
  • Ordinary Differential Equations
  • Introduction to Interactive Design

  Year 3

  • Optimisation
  • Statistics Dissertation A
  • Statistical Machine Learning
  • Time Series
  • Statistics Dissertation B

  Optional courses available for Year 3 may include:

  • Artificial Intelligence and Intelligent Agents
  • Big Data Management
  • Continuous-Time Finance
  • Data Assimilation
  • Risk Theory
  • Statistics Special Topic

STPM/UEC/A-Levels/IB Diploma with 5 credits or above

September, January