Computer Science - Research

Stage 1 Options - A) Min 0 of:



PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.



COMP40610 Information Visualisation Autumn 5

COMP41400 Multi-Agent Systems Autumn 5

MEEN40820 Technical Comms (Online) Autumn 5

STAT40700 Time Series Analysis - Act App Autumn 5

COMP47470 Big Data Programming Autumn and Spring (separate) 5

COMP47670 Data Science in Python (MD) Autumn and Spring (separate) 5

COMP47750 Machine Learning with Python Autumn and Spring (separate) 5

SCI50030 Academic Writing for Science for Postgraduate students Autumn and Spring (separate) 5

IA50000 Communicating for Impact Autumn&Spring&Summer(separate) 5

IA50004 Creative Thinking & Innovation Autumn&Spring&Summer(separate) 5

SCI50010 Online Research Skills Autumn&Spring&Summer(separate) 5

SCI50020 Research Integrity Online Autumn&Spring&Summer(separate) 5

COMP30540 Game Development Spring 5

COMP41680 Data Science in Python Spring 5

COMP47590 Advanced Machine Learning Spring 5

COMP47650 Deep Learning Spring 5

MEEN40670 Technical Communication Spring 5

STAT40740 Multivariate Analysis (Online) Spring and Summer (separate) 5



Stage 2 Options - A) Min 0 of:



PhD students are required to complete 30 taught credits over the course of their programme (as outlined in Section 7 of the Academic regulations). A list of modules considered appropriate by your School is given below, and from which you can select module(s) subject to timetables/capacity. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.



COMP40610 Information Visualisation Autumn 5

COMP41400 Multi-Agent Systems Autumn 5

MEEN40820 Technical Comms (Online) Autumn 5

STAT40700 Time Series Analysis - Act App Autumn 5

COMP47470 Big Data Programming Autumn and Spring (separate) 5

COMP47670 Data Science in Python (MD) Autumn and Spring (separate) 5

COMP47750 Machine Learning with Python Autumn and Spring (separate) 5

IA50000 Communicating for Impact Autumn & Spring & Summer(separate) 5

IA50004 Creative Thinking & Innovation Autumn & Spring & Summer(separate) 5

SCI50010 Online Research Skills Autumn & Spring & Summer(separate) 5

SCI50020 Research Integrity Online Autumn & Spring & Summer(separate) 5

COMP30540 Game Development Spring 5

COMP41680 Data Science in Python Spring 5

COMP47590 Advanced Machine Learning Spring 5

COMP47650 Deep Learning Spring 5

MEEN40670 Technical Communication Spring 5

STAT40740 Multivariate Analysis (Online) Spring and Summer (separate) 5

4/6 years, FT/PT, On Campus.

T113 Computer Science Doctor of Philosophy Full-Time Commencing January 2026 Graduate Research



T114 Computer Science Doctor of Philosophy Part-Time Commencing January 2026 Graduate Research



T113 Computer Science Doctor of Philosophy Full-Time Commencing May 2026 Graduate Research



T114 Computer Science Doctor of Philosophy Part-Time Commencing May 2026 Graduate Research



T113 Computer Science Doctor of Philosophy Full-Time Commencing September 2026 Graduate Research



T114 Computer Science Doctor of Philosophy Part-Time Commencing September 2026 Graduate Research