You will complete a minimum of 120 credits from a compulsory set and an optional set of modules (of which at least one must be from outside of Computer Science and Mathematics). Subjects include human-centred perspectives and methods, uses and abuses of big data, trust and negotiation, machine learning and a range of further optional modules from Computer Science, Mathematics, Engineering, Management, Law and Medicine.

Year 1 (Level 7T)
FHEQ 7 Taught Masters / PGDip / PGCert
Students must choose between 120 and 130 credits from the following:

Compulsory Modules
Module Name Module Duration Credits Module Code
Designing-in Trust, Understanding and Negotiation September-January 15 CSCM23
Human-Centred Perspectives and Methods September-January 15 CSCM69
Abuses, Biases and Blessings of Data January-June 15 CSCM21
Optional Modules
Compulsory Modules
Choose Maximum Of 30 credits from the following Modules:

NOTE : If you were not previously a Computer Science student at Swansea University, please select both options in the Compulsory Modules section (i.e., CSCM27 and CSC45), and skip the Replacement Compulsory Modules section. If you are have previously completed CSC345/M45 or CSC327/M27 please select the module you have not yet completed (at either CSC3XX or CSCMXX level), and then select a replacement compulsory module below to replace each module you have already taken.

Module Name Module Duration Credits Module Code Guidance
Human-Centred Visual Analytics September-January 15 CSCM27
Big Data and Machine Learning September-January 15 CSCM45
AND
Replacement Compulsory Modules
Choose Maximum Of 30 credits from the following Modules:

NOTE : Please only select modules from this section if you need to replace compulsory modules that you have already completed in a previous programme of study. If you would like to select any of the following as optional modules, please use the Optional Computational Core and Challenging Context Modules section.

Module Name Module Duration Credits Module Code Guidance
Critical Systems September-January 15 CSCM13
IT-Security: Cryptography and Network Security September-January 15 CSCM18
Blockchain, Cryptocurrencies and Smart Contracts January-June 15 CSCM29
Advanced Topics: Artificial Intelligence and Cyber Security January-June 15 CSCM38
Big Data and Machine Learning January-June 15 CSCM45J
Hardware and Devices January-June 15 CSCM79
AND
Optional Computational Core and Challenging Context Modules
Choose Minimum Of 45 credits from the following Modules:

NOTE : Please select a minimum of 45 credits from the following modules. At least one module must be external to the Computational Foundry (i.e., not beginning with "CS" or "MA"), and you may not select any modules that you have already selected in any other section. Some modules may have additional pre-enrolment requirements or different timetable styles which will be discussed in induction week. We will address any timetable clashes on a case-by-case basis.

Module Name Module Duration Credits Module Code Guidance
Critical Systems September-January 15 CSCM13
IT-Security: Cryptography and Network Security September-January 15 CSCM18
Mathematical Skills for Data Scientists September-January 15 CSCM70
Engineering Technology, Innovation and Application Academic Year 10 EGSM05
Smart Manufacturing September-June 10 EGSM24
Digital Intellectual Property and LegalTech September-January 20 LAAM24
Markov Processes and Applications September-January 15 MA-M64
Dynamical Systems September-January 15 MA-M75
Fourier Analysis September-January 15 MA-M84
Foundations of Management September-January 20 MN-M050
Scientific Computing and Health Care September-January 20 PMIM102
Health Data Modelling September-January 20 PMIM202
Health Data Visualisation September-January 20 PMIM502
Blockchain, Cryptocurrencies and Smart Contracts January-June 15 CSCM29
Advanced Topics: Artificial Intelligence and Cyber Security January-June 15 CSCM38
Hardware and Devices January-June 15 CSCM79
Industry 4.0 January-June 10 EG-3066
Numerics of ODEs and PDEs January-June 15 MA-M02
Machine Learning January-June 15 MA-M08
Enterprise, Innovation and Intellectual Property January-June 10 MN-M581
Innovation Management January-June 15 MN-M594
Artificial Intelligence - Case Study Analysis January-June 15 MN-M604
Artificial Intelligence - Principles and Concepts January-June 15 MN-M605
Scientific Computing and Health Care January-June 20 PMIM102J
Machine Learning in Healthcare January-June 20 PMIM402
FHEQ 7 Taught Masters Dissertation
Compulsory Modules
Module Name Module Duration Credits Module Code
Human-Centred Big Data and Artificial Intelligence Dissertation September-June 60 CSPM40

You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it