​​​​​Core modules

The purpose of this page is to indicate to you which modules are the core modules that are followed by all BDatSci students in each of the four years, regardless of the focal area:

THE FIRST YEAR: Core modules (credits, semester)

Probability Theory and Statistics 114 (16, semester 1)

Mathematics [Calculus] 114  (16, semester 1)

Mathematics [Calculus and linear algebra] 144 (16, semester 2)

Computer Science [Introductory Computer Science] 113 (16, semester 1)

Computer Science [Introductory Computer Science] 144 (16, semester 2)

Data Science 141 (16, semester 2)

THE SECOND YEAR: Core modules (credits, semester)

Mathematical Statistics [Distribution theory and introduction to statistical inference] 214 (16, semester 1)

Mathematical Statistics [Statistical inference] 245  (8, semester 2)

Mathematical Statistics [Linear models in Statistics] 246 (8, semester 2)

Mathematics [Advanced calculus and linear algebra] 214 (16, semester 1)

Computer Science [Data structures and algorithms] 214 (16, semester 1)

Computer Science [Computer architecture] 244 (16, semester 2)

Data Science 241 (16, semester 2)

THE THIRD YEAR: Core modules (credits, semester)

Mathematical Statistics [Statistical inference and probability theory] 312 (16, semester 1)

Computer Science [Machine learning] 315 (16, semester 1)

Computer Science [Data Bases] 343 (16, semester 2)

Data Science 316 (16, semester 1)

Data Science 346 (16, semester 2)

THE FOURTH YEAR: Core modules (credits, semester)

Introduction to Statistical Learning 441 (12, semester 1)

Data Science Research assignment 441 (40, semester 1&2)

Note: Each focal area has its own unique Data Science research module of 40 credits