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.
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Degree Programme Table: Statistics and Operational Research (MSc) (Part-time) (PTMSCSTATO1P)

Jump to: Year 1, Year 2

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

Notes:
This DPT represents the part-time version of the full programme comprising 80 credits of compulsory courses; 40 credits of optional courses; and a dissertation worth 60 credits. In order to balance your workload, you are strongly recommended to take 60 credits of taught courses in each year. You must discuss your course selection with the Student Advisor(s) and Cohort Leads during induction week.

Compulsory courses

You must take these courses
Bayesian Theory

Must be taken during Semester 1

MATH11177 10 credits
Fundamentals of Operational Research

Must be taken during Semester 1

MATH10065 10 credits
Statistical Programming

Must be taken during Semester 1

MATH11176 10 credits
Generalised Regression Models

Must be taken during Semester 1

MATH11187 10 credits

Course options

Group A

Select exactly 20 credits in this group.

Statistics and OR Options: Semester 1

Select between 0 and 10 credits of the following courses
Theory of Statistical Inference
MATH10028 10 credits
Statistical Methodology
MATH10095 10 credits
Stochastic Modelling (Postgraduate Taught)
MATH11029 10 credits
Python Programming
MATH11199 10 credits
AND

Statistics and OR Options: Semester 2

Select between 10 and 20 credits of the following courses
Methods for Causal Inference
INFR11207 10 credits
Multivariate Data Analysis
MATH10064 10 credits
Time Series
MATH11131 10 credits
Large Scale Optimization for Data Science
MATH11147 10 credits
Credit Scoring
MATH11148 10 credits
Optimization Methods in Finance
MATH11158 10 credits
Bayesian Data Analysis
MATH11175 10 credits
Topics in Applied Operational Research
MATH11183 10 credits
Incomplete Data Analysis
MATH11185 10 credits
Risk and Logistics
MATH11190 10 credits
Integer and Combinatorial Optimization
MATH11192 10 credits
Operational Research in the Energy Industry
MATH11193 10 credits
Machine Learning in Python
MATH11205 10 credits
Biostatistics
MATH11230 10 credits
Targeted Causal Learning
MATH11238 10 credits
Nonlinear Optimization
MATH11244 10 credits
Optimization under Uncertainty
MATH11247 10 credits

Year 2 Academic year: 2026/27, Starting in: September

Notes:
This DPT represents the part-time version of the full programme comprising 80 credits of compulsory courses; 40 credits of optional courses; and a dissertation worth 60 credits. In order to balance your workload, you are strongly recommended to take 60 credits of taught courses in each year.

Compulsory courses

You must take these courses
Fundamentals of Optimization

Must be taken during Semester 1

MATH11111 10 credits
Methodology, Modelling and Consulting Skills

Must be taken during Semester 1

MATH11007 10 credits
Simulation

Must be taken during Semester 2

MATH11028 10 credits
Statistical Research Skills

Must be taken during Semester 2

MATH11188 10 credits
Dissertation (Stats. Op. Res.)

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

MATH11119 60 credits

Course options

Group A

Select exactly 20 credits in this group.

Statistics and OR Options: Semester 1

Select between 0 and 10 credits of the following courses
Theory of Statistical Inference
MATH10028 10 credits
Statistical Methodology
MATH10095 10 credits
Stochastic Modelling (Postgraduate Taught)
MATH11029 10 credits
Python Programming
MATH11199 10 credits
AND

Statistics and OR Options: Semester 2

Select between 10 and 20 credits of the following courses
Methods for Causal Inference
INFR11207 10 credits
Multivariate Data Analysis
MATH10064 10 credits
Time Series
MATH11131 10 credits
Large Scale Optimization for Data Science
MATH11147 10 credits
Credit Scoring
MATH11148 10 credits
Optimization Methods in Finance
MATH11158 10 credits
Bayesian Data Analysis
MATH11175 10 credits
Topics in Applied Operational Research
MATH11183 10 credits
Incomplete Data Analysis
MATH11185 10 credits
Risk and Logistics
MATH11190 10 credits
Integer and Combinatorial Optimization
MATH11192 10 credits
Operational Research in the Energy Industry
MATH11193 10 credits
Machine Learning in Python
MATH11205 10 credits
Biostatistics
MATH11230 10 credits
Targeted Causal Learning
MATH11238 10 credits
Nonlinear Optimization
MATH11244 10 credits
Optimization under Uncertainty
MATH11247 10 credits
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