THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2024/2025

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

Degree Programme Table: PhD in Machine Learning Systems (PhD with Integrated Study) (PRPHDMALSY1F)

Jump to: Year 1, Year 2, Year 3, Year 4

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

Notes:
This programme is restricted to students registered with the EPSRC CDT in Machine Learning.

The course choice needs to be agreed with the CDT and the Supervisor.
The default course choice is either (a) the 80 point ML systems Project, Machine Learning Practical , Controversies in the Data Society and Machine Learning Systems; or (b) the 60 point ML systems Project, Machine Learning Practical , Controversies in the Data Society and Machine Learning Systems and 20 points of other courses. Very good reason needs to be provided and agreed to deviate from these options.

A minimum of 140 credits need to be taken in Year 1 and Year 2.

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

Course options

MLS Compulsory courses

Select between 20 and 40 credits of the following courses
Selected courses must be passed
Machine Learning Practical
INFR11132 20 credits
Machine Learning Systems
INFR11269 20 credits
AND

Level 9, 10 and 11 courses in Schedules A to Q, T, W and Y

Select between 0 and 40 credits from Level 9, 10 and 11 courses in Schedules A to Q, T, W and Y
AND

Informatics CDT MLS Project Courses - Year 1

Select between 60 and 100 credits of the following courses
Selected courses must be passed
Machine Learning Systems Project (60 credits)
INFR11270 60 credits
Machine Learning Systems Project (100 credits)
INFR11271 100 credits
Machine Learning Systems Project (80 credits)
INFR11272 80 credits

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

Notes:
This programme is restricted to students registered with the EPSRC CDT in Machine Learning.

The course choice needs to be agreed with the CDT and the Supervisor.
The default course choice is either (a) the 80 point ML systems Project, Machine Learning Practical , Controversies in the Data Society and Machine Learning Systems; or (b) the 60 point ML systems Project, Machine Learning Practical , Controversies in the Data Society and Machine Learning Systems and 20 points of other courses. Very good reason needs to be provided and agreed to deviate from these options.

A minimum of 140 credits need to be taken in Year 1 and Year 2.

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

Course options

Controversies in the Data Society

Select between 0 and 20 credits of the following courses
Controversies in the Data Society
PGSP11467 20 credits

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

Notes:
This programme is restricted to students registered with the EPSRC CDT in Machine Learning.

The Machine Learning Internship Research and Engagement report is scheduled in Year 3 as we assumed this will coincide with the timing of the internship for most students, however depending on individual circumstances there will be flexibility to change this to Year 2 or 4 as appropriate.

Compulsory courses

You must take these courses
ML Systems Internship Research and Engagement Report

Must be passed

INFR11275 30 credits

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

Notes:
This is the research phase of the PhD. There are no taught for-credit elements in Year 4.

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

General Disclaimer
Privacy & cookies
© Copyright 2024 The University of Edinburgh - 12 December 2024 8:20 pm