Hyd y Cwrs nodweddiadol
Twelve months full-time or 24 months part time. The academic year (September to September) is divided into three semesters: September to January; January to June; June to September. The course is available as a postgraduate certificate or diploma and can be taken part-time. Students must contact the department to discuss these options.
Approximately 10-14 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.
The programme comprises 180 credits. There are 120 credits of taught modules completed during Semester 1 and Semester 2. This is followed by a research dissertation (60 credits) in semester 3.
BSc or BA honours degree (High 2:2) in a related subject (such as Biology, Computer Science, Software Engineering or Mathematics) at undergraduate level and an accompanying reference. We will consider applicants with other experience which gives an equivalent basis for entry.
English Language Requirements:
If you have a Bachelor’s degree from a UK University, you do not need to take an English proficiency test.
Non-native English speakers who do not meet this requirement must take a University-recognised test of academic English language proficiency. For further information please see our English Language requirements page.
Please see the tuition fee pages for current tuition fees. Please note that all fees are subject to an annual increase.
Funding opportunities may be available, please check the funding calculator for details.
Noder: Y modiwlau a restrir isod yw'r modiwlau y bwriedir eu cyflwyno ar hyn o bryd yn ystod y flwyddyn academaidd nesaf ac mae'n bosibl y gallant newid. Maent wedi'u cynnwys yma i roi syniad o strwythur y cwrs.
|Teitl y Modiwl||Cod y Modiwl||Gwerth Credyd|
|Biotechnology for Business||BRM0520||20|
|Frontiers in the Biosciences||BRM4920||20|
|Machine Learning for Intelligent Systems||CSM6420||20|
|Programming for Scientists||CSM0120||20|
|Statistical Concepts, Methods and Tools||MAM5120||20|
|Statistical Techniques for Computational Scientists||MAM5220||20|