Ewch i’r prif gynnwys

Deallusrwydd Artiffisial (MSc)

Nod y MSc Deallusrwydd Artiffisial yw datblygu deallusrwydd myfyrwyr o effeithiau moesegol a chymdeithasol o dechnolegau Deallusrwydd Artiffisial, wrth ddatblygu eich beirniadaeth, gonestrwydd deallusrwydd a sgiliau ymarferol.

Access to “big data” is now a defining innovation of the 21st century and is a precursor to enhanced Artificial Intelligence through machine learning and reasoning. This can lead to major economic and social benefits.  Our MSc Artificial Intelligence aims also to develop students’ understanding of ethical and social impacts of Artificial Intelligence technologies, whilst developing your critical judgement, intellectual integrity and practical skills.

Graduates from the programme will be ideally placed for employment in the Artificial Intelligence and Data Science industry—including industries closely related such as finance, defence, retail, manufacturing. High-performing graduates from this programme will be well-prepared for commencing a research career in AI.

Nodweddion unigryw

  • Learn in a unique setting where teaching and learning is explored through real-world datasets and problems and is informed by the most up-to-date research in the field.
  • The course has been co-designed by the Knowledge and Reasoning Priority Area that groups together world-leading and world-renowned researchers in the field of Artificial Intelligence
  • Acquire transferable artificial intelligence skills that are sought after in a broad range fo sectors

Ffeithiau allweddol

Nifer Myfyrwyr newydd nesafMedi 2019
Hyd1 blwyddyn
FfurfAmser llawn

Meini prawf derbyn

We welcome applications from computer literate graduates who have a good honours degree, or equivalent professional qualification in a subject such as Computer Science or a related subject.

Applicants will possess a 2:1 honours degree in computer science, computing or a cognate subject. Applicants with a 2:2 honours degree in computer science, computing or a cognate subject may be invited to participate in a telephone or remote interview.

If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS score of 6.5 with no area less than 5.5.  The University offers English language courses that can help you achieve this.

Please feel free to supplement your application with a detailed CV or any other supporting material you may consider to be appropriate.

Programmes start in September each year but applications are considered as they arrive throughout the year.

You apply directly to the University online for a postgraduate taught course

Rhagor o wybodaeth am ofynion Iaith Saesneg.

Mae'n rhaid i ymgeiswyr sydd angen fisa Haen 4 i astudio yn y DU gyflwyno cymhwyster iaith Saesneg derbyniol er mwyn bodloni gofynion UKVI (Fisâu a Mewnfudo y DU).

This is a two-stage programme taught over one year for a total of 180 credits. The taught stage is 120 credits, followed by a 60-credit research project. All modules in the taught stage are worth 20 credits.

The Master’s stage of your degree will be an individual project (worth 60 credits) which you will write up as a dissertation, after the Diploma stage. This project will be carried out the summer under the supervision of a member of academic staff.

Mae'r modiwlau a ddangosir yn esiampl o'r cwricwlwm arferol. Byddant yn cael eu hadolygu cyn blwyddyn academaidd 2019/20. Bydd y modiwlau terfynol yn cael eu cyhoeddi erbyn mis Medi 2019.

You will study four 20-credit compulsory modules to a total of 80 credits, and choose a further 40 credits from a list of carefully selected optional modules. This will be followed by a 60-credit dissertation project undertaken in the summer

Mae'r Brifysgol wedi ymrwymo i ddarparu amrywiaeth eang o opsiynau modiwl lle’n bosibl. Ond byddwch yn ymwybodol er y byddwn yn gwneud pob ymdrech i gynnig dewis, gall hyn gael ei gyfyngu mewn rhai amgylchiadau. Y rheswm am hyn yw'r ffaith mai dim ond nifer cyfyngedig o leoedd sydd ar gael ar rai modiwlau, a gaiff eu dyrannu ar sail y cyntaf i'r felin. Mae'n ofynnol i fodiwlau eraill sicrhau isafswm nifer o fyfyrwyr cyn gallu eu cynnal, er mwyn gwneud yn siŵr y gellir cyflwyno addysg o ansawdd priodol. Gall modiwlau gael eu cyfyngu oherwydd gwrthdaro yn yr amserlen hefyd, ac er bod y Brifysgol yn ymdrechu i amharu cyn lleied â phosibl ar eich dewis, byddai'n syniad da i chi ofyn am gyngor gan yr Ysgol berthnasol am y dewisiadau modiwl sydd ar gael.

Sut y caf fy addysgu?

The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard.

A diverse range of teaching and learning styles are used throughout the MSc Artificial Intelligence. Modules are delivered through a series of either full- or half-day contact sessions, which include lectures, seminars, workshops, tutorials and laboratory classes.

Most of your taught modules will have further information for you to study and you will be expected to work through this in your own time according to the guidance provided by the lecturer for that module.

You will also undertake a project and independent study to enable you to complete your dissertation. Dissertation topics may be suggested by yourself or chosen from a list of options proposed by academic staff and industrial partners, reflecting their current interests.

Sut y caf fy nghefnogi?

We pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

At the start of your course you will be allocated a Personal Tutor who is an academic member of staff in the School and serves as a point of contact to advise on both academic and personal matters in an informal and confidential manner. Your Personal Tutor will monitor your progress throughout your time at university and will support you in your Personal Development Planning.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open-door policy, being on hand to advise and respond to any personal matters as they arise.

Sut y caf fy asesu?

The taught modules within the programme are assessed through examinations and a wide range of in-course assessments, such as:

Written reports; Extended essays; Practical assignments; Oral presentations.

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

The individual project and dissertation enables students to demonstrate their ability to build upon and exploit knowledge and skills gained in earlier stages of the Programme. Furthermore it provides the opportunity for students to exhibit critical and original thinking based on a period of independent study and learning.

Pa sgiliau y byddaf yn eu hymarfer a’u datblygu?

Knowledge & Understanding:

On successful completion of the Programme you will be able to demonstrate:

  • Understanding of the importance of how data is represented for the success of artificial intelligence methods
  • Knowledge of the key concepts and algorithms underlying artificial intelligence methods
  • Understanding of the theoretical properties of different artificial intelligence methods
  • Insight and foresight of how artificial intelligence methods influence the success of a given task

Intellectual Skills:

On successful completion of the Programme you will be able to demonstrate:

  • An ability to implement and evaluate artificial intelligence methods to solve a given task
  • An ability to explain and communicate the basic principles underlying common artificial intelligence methods
  • Critical appraisal of the ethical implications and societal risks associated with the deployment of artificial intelligence methods

Professional Practical Skills:

On successful completion of the Programme you will be able to demonstrate:

  • Capacity to formalize real-world problems in relation to chosen artificial intelligence methods
  • Ability to choose an appropriate artificial intelligence method (and data pre-processing strategy if needed) to address the needs of a given application setting
  • Competence in implementing artificial intelligence methods, taking advantage of existing libraries where appropriate

Transferable/Key Skills:

On successful completion of the Programme you will be able to demonstrate:

  • Critical appraisal of your own and other’s work through written and verbal means
  • Clear and efficient communication of complex ideas, principles and theories by oral, written and practical means, to a range of audiences
  • Appreciation of opportunities for career development
  • An ability to undertake independent study and critical reflection

Graduates from this programme will be ideally placed to develop careers as data scientists, artificial intelligence engineers, and data engineers.

Ysgoloriaethau Rhagoriaeth Ymchwil

Ysgoloriaeth gwerth £3,000 yr un i fyfyrwyr y DU/UE yn dechrau cwrs gradd Meistr yn Medi 2019.

Rhagor o wybodaeth

Ffioedd dysgu

Myfyrwyr y DU ac UE (2019/20)

Ffioedd DysguBlaendalNodiadau

Rhagor o wybodaeth am ffioedd dysgu a blaendaliadau, gan gynnwys ar gyfer myfyrwyr rhan-amser a pharhaus.

Bydd myfyrwyr yr UE sy'n dechrau yn 2019/20 yn talu'r un ffioedd dysgu â myfyrwyr y DU drwy gydol eu cyrsiau. Gallai ffioedd godi'n flynyddol yn unol â chwyddiant. Nid oes penderfyniadau wedi’u gwneud eto ynglŷn â ffioedd a benthyciadau i fyfyrwyr yr UE sy'n dechrau yn 2020/21. Caiff y rhain eu gwneud yn rhan o drafodaethau'r DU ynglŷn â’' haelodaeth o'r UE, a byddwn yn rhoi rhagor o fanylion i chi cyn gynted ag y bo modd.

Myfyrwyr tu allan i'r UE (2019/20)

Ffioedd DysguBlaendalNodiadau

Rhagor o wybodaeth am ffioedd dysgu a blaendaliadau, gan gynnwys ar gyfer myfyrwyr rhan-amser a pharhaus.

A fydd angen unrhyw gyfarpar penodol arnaf I astudio’r cwrs hwn?


Industrial partners are invited to support the delivery of a variety of modules by providing real data and problems to be addressed as part of coursework examination.