THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2024/2025

Timetable information in the Course Catalogue may be subject to change.
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Degree Programme Table: Statistics with Data Science (MSc) - 2 Years (Part-time) (PTMSCSTADS1P)

Jump to: Year 1, Year 2

Year 1 Academic year: 2024/25, Starting in: September

Notes:
This DPT represents the part-time version of the full programme comprising 60 credits of compulsory courses; 60 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 Programme Director / Personal Tutor during induction week.

You must not take more than 30 credits at Level 10 during this programme.

Compulsory courses

You must take these courses
Extended Statistical Programming

Must be taken during Semester 2

MATH11242 20 credits

Course options

StatisticswithDataScience - part-time compulsory courses

Select between 20 and 50 credits of the following courses
Notes:
These courses are compulsory for this programme and must be taken in either your first or second year.
Bayesian Data Analysis
MATH11175 10 credits
Bayesian Theory
MATH11177 10 credits
Generalised Regression Models
MATH11187 10 credits
Statistical Research Skills
MATH11188 10 credits
Design and Sampling for Data Science
MATH11245 10 credits
AND

Group A

Select between 0 and 60 credits in this group.

Statistics with Data Science : options : SEMESTER 1 - 2024 - 25

Select between 0 and 20 credits of the following courses
Selected courses must be taken during Semester 1
Machine Learning and Pattern Recognition
INFR11130 20 credits
Theory of Statistical Inference
MATH10028 10 credits
Fundamentals of Operational Research
MATH10065 10 credits
Statistical Methodology
MATH10095 10 credits
Stochastic Modelling
MATH11029 10 credits
Fundamentals of Optimization
MATH11111 10 credits
Python Programming
MATH11199 10 credits
AND

Statistics with Data Science : options : SEMESTER 2 - 2024 - 25

Select between 0 and 20 credits of the following courses
Selected courses must be taken during Semester 2
Probabilistic Modelling and Reasoning
INFR11134 20 credits
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 - 2024 - 25

Select between 0 and 20 credits of the following courses
Text Technologies for Data Science
INFR11145 20 credits

Year 2 Academic year: 2024/25, Starting in: September

Notes:
This DPT represents the part-time version of the full programme comprising 60 credits of compulsory courses; 60 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 Programme Director / Personal Tutor during induction week.

You must not take more than 30 credits at Level 10 during this programme.

Compulsory courses

You must take these courses
Dissertation (SDS)

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

MATH11178 60 credits

Course options

StatisticswithDataScience - part-time compulsory courses

Select between 0 and 30 credits of the following courses
Notes:
These courses are compulsory for this programme. Please select those you did not take in Year 1.
Bayesian Data Analysis
MATH11175 10 credits
Bayesian Theory
MATH11177 10 credits
Generalised Regression Models
MATH11187 10 credits
Statistical Research Skills
MATH11188 10 credits
Design and Sampling for Data Science
MATH11245 10 credits
AND

Group A

Select between 30 and 60 credits in this group.

Statistics with Data Science : options : SEMESTER 1 - 2024 - 25

Select between 0 and 40 credits of the following courses
Selected courses must be taken during Semester 1
Machine Learning and Pattern Recognition
INFR11130 20 credits
Theory of Statistical Inference
MATH10028 10 credits
Fundamentals of Operational Research
MATH10065 10 credits
Statistical Methodology
MATH10095 10 credits
Stochastic Modelling
MATH11029 10 credits
Fundamentals of Optimization
MATH11111 10 credits
Python Programming
MATH11199 10 credits
AND

Statistics with Data Science : options : SEMESTER 2 - 2024 - 25

Select between 0 and 40 credits of the following courses
Selected courses must be taken during Semester 2
Probabilistic Modelling and Reasoning
INFR11134 20 credits
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 - 2024 - 25

Select between 0 and 20 credits of the following courses
Text Technologies for Data Science
INFR11145 20 credits
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