​​Compulsory modules

The electives on this list will form part of the general Data Science programme provided the time table and assessment schedules permit. The number of credits reserved for compulsory modules and the number of credits available for electives from different data-rich environments in each study year, are as follows:

 Credits reserved for compulsory modulesCredits available for elective modules
FIRST YEAR96 credits At least 24 credits
SECOND YEAR96 creditsAt least 24 credits
THIRD YEAR80 creditsAt least 40 credits
FOURTH YEAR52 creditsAt least 68 credits

 

THE FIRST YEAR: Compulsory 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: Compulsory 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: Compulsory modules (credits, semester)

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

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

Computer Science [Programme design] 344 (16, semester 2)

Data Science 314 (16, semester 1)

Data Science 344 (16, semester 2


THE FOURTH YEAR: Compulsory (credits, semester)

Introduction to Statistical Learning 4XX (12, semester 1)

Data Science Research assignment 471 (40, semester 1&2)