THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2026/2027

Draft Edition - Due to be published Thursday 9th April 2026

Timetable information in the Course Catalogue may be subject to change.
University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : DPTs :  School of Mathematics DPTs

Degree Programme Table: Statistics with Data Science (MSc) (PTMSCSTADS1F)

Jump to: Year 1

Year 1 Academic year: 2026/27, Starting in: September

Notes:
Students must take at least 90 credits of taught courses at Level 11. Equivalently, you may take no more than 30 credits of Level 10 courses. For clarity, you may take at most three of: Fundamentals of Operational Research (MATH10065), Theory of Statistical Inference (MATH10028), Statistical Methodology (MATH10095), and Multivariate Data Analysis (MATH10064).

Compulsory courses

You must take these courses
Bayesian Theory

Must be taken during Semester 1

MATH11177 10 credits
Extended Statistical Programming

Must be taken during Semester 1

MATH11242 20 credits
Generalised Regression Models

Must be taken during Semester 1

MATH11187 10 credits
Bayesian Data Analysis

Must be taken during Semester 2

MATH11175 10 credits
Statistical Research Skills

Must be taken during Semester 2

MATH11188 10 credits
Design and Sampling for Data Science

Must be taken during Semester 2

MATH11245 10 credits
Dissertation (SDS)

Must be taken during Block 5 (Sem 2) and beyond

MATH11178 60 credits

Course options

Group A

Select exactly 50 credits in this group.

Statistics with Data Science Options: Semester 1

Select between 10 and 30 credits of the following courses
Applied Machine Learning
INFR11211 20 credits
Theory of Statistical Inference
MATH10028 10 credits
Fundamentals of Operational Research
MATH10065 10 credits
Statistical Methodology
MATH10095 10 credits
Stochastic Modelling (Postgraduate Taught)
MATH11029 10 credits
Fundamentals of Optimization
MATH11111 10 credits
Python Programming
MATH11199 10 credits
AND

Statistics with Data Science Options: Semester 2

Select between 20 and 30 credits of the following courses
Selected courses must be taken during Semester 2
Methods for Causal Inference
INFR11207 10 credits
Multivariate Data Analysis
MATH10064 10 credits
Simulation
MATH11028 10 credits
Time Series
MATH11131 10 credits
Large Scale Optimization for Data Science
MATH11147 10 credits
Credit Scoring
MATH11148 10 credits
Incomplete Data Analysis
MATH11185 10 credits
Machine Learning in Python
MATH11205 10 credits
Biostatistics
MATH11230 10 credits
Targeted Causal Learning
MATH11238 10 credits
Nonlinear Optimization
MATH11244 10 credits
AND

Statistics with Data Science Options: Full Year

Select between 0 and 20 credits of the following courses
Selected courses must be taken during Full Year
Text Technologies for Data Science
INFR11145 20 credits
General Disclaimer
Privacy & cookies
© Copyright 2026 The University of Edinburgh - 15 July 2026 8:24 pm