MSc

Deallusrwydd Artiffisial

Prif Ffeithiau

Cod Cwrs G790
  • Cymhwyster

    MSc

  • Hyd y Cwrs nodweddiadol

    1 blwyddyn

Ymgeisio Nawr

Artificial Intelligence is changing the way we live. Applications permeate all aspects of our lives, ranging from health and social care through fraud prevention and computer games to digital assistants. The MSc Artificial Intelligence at Aberystwyth University will give you an opportunity to study machine learning and computational intelligence, applied data mining, and statistical concepts, methods and tools. 

Examples of current and emerging artificial systems include home robots (for entertainment or assisting those with special needs), supply chain management systems, robots used in medical practice, robots in space, on land and at sea.Researchers from Aberystwyth have been active in all these areas.

Trosolwg

This degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer. It broadens your experience of the tools, methods and techniques used by professional software engineers, and focuses on the application of advanced software engineering, preparing you for responsible positions in the software industry.

It is available as a one year intensive course, or as a two year course, where the student spends a year gaining valuable experience in the software industry after the taught part of the degree, and can apply that experience to their final dissertation project.

The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world-leading or internationally excellent.

Ein Staff

Mae gan bron bob un o ddarlithwyr a chymrodyr dysgu’r Adran Cyfrifiadureg gymwysterau hyd at safon PhD, ac mae gan y gweddill brofiad helaeth ym maes ymchwil neu ddiwydiant. Mae'n rhaid i bob darlithydd a chymrawd dysgu newydd ennill cymhwyster TUAAU, ac felly maent yn Gymrodyr Uwch neu'n Gymrodyr o'r Academi Addysg Uwch. Mae'r adran hefyd yn cyflogi nifer o staff arddangos a thiwtoriaid rhan amser a rhai arddangoswyr sy'n fyfyrwyr, wedi’u dewis o blith ein hisraddedigion a'n huwchraddedigion.  Mae ein cymrodyr ymchwil a'n cynorthwywyr ymchwil (y rhan fwyaf ohonynt â gradd PhD) hefyd yn gwneud rhywfaint o waith dysgu o bryd i'w gilydd pan fo hynny'n briodol.

Mae’r holl ddarlithwyr yn yr Adran Mathemateg wedi’u cymhwyso i lefel PhD ac yn weithgar ym myd ymchwil. Mae gan y rhan fwyaf gymhwyster addysgu uwchraddedig ac mae’n rhaid i staff newydd gwblhau’r TUAAU. Mae’r adran hefyd yn cyflogi nifer o diwtoriaid rhan-amser, sydd â phrofiad dysgu eang, a rhai arddangoswyr sy’n cael eu dewis o blith ein myfyrwyr israddedig ac uwchraddedig.

Manylion Cwrs

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.

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.

Core

Teitl y Modiwl Cod y Modiwl Gwerth Credyd
Fundamentals of Intelligent Systems CSM6120 20
Research Skills and Personal Development for Scientists PGM1500 00
Computational Intelligence CSM6520 20
Research Skills and Personal Development for Scientists (1520) PGM1520 20
Fe'i cyflwynir yn rhannol neu'n gyflawn drwy gyfrwng yn Saesneg

Core

Teitl y Modiwl Cod y Modiwl Gwerth Credyd
Applied Data Mining CSM6720 20
Dissertation CSM9060 60
Machine Learning for Intelligent Systems CSM6420 20
Statistical Concepts, Methods and Tools MAM5120 20

Cyflogadwyedd

By studying this course, you'll develop specialised technical skills in the areas of intelligent systems, deep learning, big data and computational intelligence. 

The range of careers to which our graduates advance is vast and continuously expanding.  Recent graduates have found employment with companies such as Google and MarkLogic, and investment banks. Some have become product managers, and others have set up their own companies.