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 2, Year 3, Year 4, Year 5, Year 6

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

This programme is restricted to students registered with the EPSRC CDT in Artificial Intelligence for Biomedical Innovation (with integrated study).

The course choice needs to be agreed with the CDT and the Supervisor.

This taught programme totals 180 credits, all remaining 540 credits in the program is PhD research.

For students taking this program part-time, compulsory courses can be taken in any of years 1-3. The program is extended to a maximum of 6 years in total. Part time students may take the placement research project later in the program than full time students if desired in years 4 or 5, and may choose to spread their taught credits into those years; no taught courses may be taken in year 6.

Compulsory courses

Foundational Biomedical Artificial Intelligence Research

Must be passed at 50%

Course options

Next Generation Genomics

Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

High Performance Data Analytics

Software Development

Health Data Science

Foundations of Natural Language Processing

Reinforcement Learning

Accelerated Natural Language Processing

Machine Learning and Pattern Recognition

Machine Learning Practical

Probabilistic Modelling and Reasoning

Text Technologies for Data Science

Advanced Database Systems

Machine Learning Theory

Methods for Causal Inference

Applied Machine Learning

Programming for Data Science at Scale

Machine Learning Systems

Mathematical Biology

Biomedical Data Science

Bayesian Data Analysis

Statistical Programming

Bayesian Theory

Incomplete Data Analysis

Targeted Causal Learning

Bioinformatics Algorithms

Linkage and Association in Genome Analysis

Population Genetics

Quantitative Genetics

Modelling and Measuring Drug/Protein Interactions

Biobusiness

AND

Placement Dissertation Project

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

This programme is restricted to students registered with the EPSRC CDT in Artificial Intelligence for Biomedical Innovation (with integrated study).

The course choice needs to be agreed with the CDT and the Supervisor.

This taught programme totals 180 credits, all remaining 540 credits in the program is PhD research.

For students taking this program part-time, compulsory courses can be taken in any of years 1-3. The program is extended to a maximum of 6 years in total. Part time students may take the placement research project later in the program than full time students if desired in years 4 or 5, and may choose to spread their taught credits into those years; no taught courses may be taken in year 6.

Compulsory courses

Inter-Disciplinary Biomedical Artificial Intelligence Research

Must be passed at 50%

Case Studies in AI Ethics (CSAI)

Must be passed at 50%

Course options

Notes:
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.

Next Generation Genomics

Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

High Performance Data Analytics

Software Development

Health Data Science

Foundations of Natural Language Processing

Reinforcement Learning

Accelerated Natural Language Processing

Machine Learning and Pattern Recognition

Machine Learning Practical

Probabilistic Modelling and Reasoning

Text Technologies for Data Science

Advanced Database Systems

Machine Learning Theory

Methods for Causal Inference

Applied Machine Learning

Programming for Data Science at Scale

Machine Learning Systems

Mathematical Biology

Biomedical Data Science

Bayesian Data Analysis

Statistical Programming

Bayesian Theory

Incomplete Data Analysis

Targeted Causal Learning

Bioinformatics Algorithms

Linkage and Association in Genome Analysis

Population Genetics

Quantitative Genetics

Modelling and Measuring Drug/Protein Interactions

Biobusiness

AND

Placement Dissertation Project

Year 3 Academic year: 2024/25, Starting in: September

180 credits are required for the award of the MSc. Students can take between 0 and 120 credits a year depending on stage.

There are no compulsory courses in this year of this programme.

Course options

Next Generation Genomics

Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

High Performance Data Analytics

Software Development

Health Data Science

Foundations of Natural Language Processing

Reinforcement Learning

Accelerated Natural Language Processing

Machine Learning and Pattern Recognition

Machine Learning Practical

Probabilistic Modelling and Reasoning

Text Technologies for Data Science

Advanced Database Systems

Machine Learning Theory

Methods for Causal Inference

Applied Machine Learning

Programming for Data Science at Scale

Machine Learning Systems

Mathematical Biology

Biomedical Data Science

Bayesian Data Analysis

Statistical Programming

Bayesian Theory

Incomplete Data Analysis

Targeted Causal Learning

Bioinformatics Algorithms

Linkage and Association in Genome Analysis

Population Genetics

Quantitative Genetics

Modelling and Measuring Drug/Protein Interactions

Biobusiness

AND

Placement Dissertation Project

Year 4 Academic year: 2024/25, Starting in: September

180 credits are required for the award of the MSc. Students can take between 0 and 120 credits a year depending on stage.

There are no compulsory courses in this year of this programme.

Course options

Next Generation Genomics

Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

High Performance Data Analytics

Software Development

Health Data Science

Foundations of Natural Language Processing

Reinforcement Learning

Accelerated Natural Language Processing

Machine Learning and Pattern Recognition

Machine Learning Practical

Probabilistic Modelling and Reasoning

Text Technologies for Data Science

Advanced Database Systems

Machine Learning Theory

Methods for Causal Inference

Applied Machine Learning

Programming for Data Science at Scale

Machine Learning Systems

Mathematical Biology

Biomedical Data Science

Bayesian Data Analysis

Statistical Programming

Bayesian Theory

Incomplete Data Analysis

Targeted Causal Learning

Bioinformatics Algorithms

Linkage and Association in Genome Analysis

Population Genetics

Quantitative Genetics

Modelling and Measuring Drug/Protein Interactions

Biobusiness

AND

Placement Dissertation Project

Year 5 Academic year: 2024/25, Starting in: September

180 credits are required for the award of the MSc. Students can take between 0 and 120 credits a year depending on stage.

There are no compulsory courses in this year of this programme.

Course options

Next Generation Genomics

Innovation-driven Entrepreneurship-Data Science, Technology and Innovation

High Performance Data Analytics

Software Development

Health Data Science

Foundations of Natural Language Processing

Reinforcement Learning

Accelerated Natural Language Processing

Machine Learning and Pattern Recognition

Machine Learning Practical

Probabilistic Modelling and Reasoning

Text Technologies for Data Science

Advanced Database Systems

Machine Learning Theory

Methods for Causal Inference

Applied Machine Learning

Programming for Data Science at Scale

Machine Learning Systems

Mathematical Biology

Biomedical Data Science

Bayesian Data Analysis

Statistical Programming

Bayesian Theory

Incomplete Data Analysis

Targeted Causal Learning

Bioinformatics Algorithms

Linkage and Association in Genome Analysis

Population Genetics

Quantitative Genetics

Modelling and Measuring Drug/Protein Interactions

Biobusiness

AND

Placement Dissertation Project

Year 6 Academic year: 2024/25, Starting in: September

180 credits are required for the award of the MSc. Students can take between 0 and 120 credits a year depending on stage.

There are no compulsory courses in this year of this programme.

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