Cyfrifiadureg Uwch
Prif Ffeithiau
Duration:
This course can be taken as a one year course, or as a two year course incorporating professional experience. It can also be taken part-time.
Contact Time:
Approximately 12 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.
Assessment:
The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.
Entry Requirements:
The minimum entry requirement for this MSc is a second class honours in Computer Science, Software Engineering or a related subject. This should include programming in a language like Java, C or C++. Sometimes it may be possible to substitute industrial experience (supplemented by preliminary study) for these academic qualifications.
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.
Course Fees:
Please see the tuition fee pages for current tuition fees. Please note that all fees are subject to an annual increase.
Funding:
Possible funding opportunities can be found in our funding calculator.
Trosolwg
Modiwlau
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 |
---|---|---|
Agile Software Development Project | CSM2020 | 20 |
Research Topics in Computing | SEM1020 | 20 |
MSC Project | CHM9360 | 60 |
Opsiynau
Teitl y Modiwl | Cod y Modiwl | Gwerth Credyd |
---|---|---|
Fundamentals of Intelligent Systems | CSM6120 | 20 |
Internet Technologies | CHM5720 | 20 |
Modelling, Managing and Securing Data | CSM3120 | 20 |
Statistical Concepts, Methods and Tools | MAM5120 | 20 |
Applied Data Mining | CSM6720 | 20 |
Machine Learning for Intelligent Systems | CSM6420 | 20 |
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