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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DRPS : DPTs : School of Informatics DPTs

Jump to: Year 1

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

Before making your course choices make sure you have discussed them with your Student Adviser, or someone in your student support team.

NOTE: This programme is available to study part-time. Part-time students must complete the same requirements as full-time students over two academic years with the following rules: Informatics Research Review INFR11136 (IRR) must be completed in Year 1, and Informatics Project Proposal INFR11147 (IPP) must be completed during Year 2. The dissertation will be completed in Block 5+ of Year 2 after progression to the dissertation stage has been confirmed by the Board of Examiners.

Compulsory courses

MSc Dissertation (Informatics)

Must be passed at 50%

Informatics Research Review

Informatics Project Proposal

Course options

These are courses in Machine Learning, Statistics, and Optimization open to taught postgraduate students.

Reinforcement Learning

Machine Learning and Pattern Recognition

Machine Learning Practical

Probabilistic Modelling and Reasoning

Natural Computing

Machine Learning Theory

Applied Machine Learning

Simulation, Analysis, and Validation of Computational Models

Statistical Methodology

Applied Statistics

Fundamentals of Optimization

Time Series

Large Scale Optimization for Data Science

Bayesian Data Analysis

Statistical Programming

Bayesian Theory

Incomplete Data Analysis

Generalised Regression Models

Integer and Combinatorial Optimization

Targeted Causal Learning

AND

These are courses in Databases and Data Management Systems open to taught postgraduate students.

Fundamentals of Data Management

Algorithms and Data Structures

Introduction to Databases

Distributed Systems (Level 11)

Advanced Database Systems

Knowledge Graphs

Machine Learning Systems

AND

These are courses in Unstructured Data and Applications open to taught postgraduate students.

Distributed Systems (Level 11)

Automatic Speech Recognition

Accelerated Natural Language Processing

Text Technologies for Data Science

Natural Language Understanding, Generation, and Machine Translation

Data-driven Business and Behaviour Analytics

Case Studies in AI Ethics (CSAI)

Methods for Causal Inference

Computer Vision

Speech Synthesis

Optimization Methods in Finance

Biomedical Data Science

AND

These are courses in all Schools other than Medicine, Veterinary Studies, the Centre for Open Learning, or the Edinburgh Futures Institute. Note this includes courses within the School of Informatics.

Students may not register for introductory programming courses in other parts of the University unless explicitly listed in the DPT.

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