Undergraduate Mathematical Statistics & Data Science

Here you can find information regarding the undergraduate Mathematical Statistics programme offered in the department.

BDatSci (new degree from 2021)

See the Faculty Calendar (Yearbook) here for a more detailed description of the various modules.

Focal area Statistical Learning is offered by the Department, see the Faculty Calendar (Yearbook) here

BCom (Mathematical Sciences)

See the Faculty Calendar (Yearbook) here for a more detailed description of the various modules.

Focal area: DATA SCIENCE [new focal area]

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Artificial intelligence, machine learning, big data - these concepts are at the core of data science. With the deluge of data, comes the increasing need for people to make sense of the data. Studies have shown that statistical analysis and data acumen are some of the top skills in demand globally at the moment, and that demand far outstrips supply.

First Year (136 credits)

Compulsory Modules
Actuarial Science	112(8)
Probability Theory and Statistics	144(16)
Mathematics	114(16), 144(16)

Plus

Computer Science	114(16), 144(16)
Economics	114(12), 144(12)
Financial Accounting	188(24)

Second Year (124 credits)

Compulsory Modules
Mathematical Statistics	214(16), 245(8),246(8)
Mathematics	214(16), 244(16)
Computer Science	214(16), 244(16)
Operations Research	244(16)
Business Management	113(12)

Third Year (134 credits)

Compulsory Modules
Mathematical Statistics	312(16), 316(16), 344(16), 364(16)
Business Management	142(6)
Plus one subject (all modules per subject):

Computer Science

313(16) or 315(16), 314(16), 343(16), 344(16)

Operations Research

314(16), 324(16), 344(16), 354(16)