Course summary
The MSc Artificial Intelligence programme is a masters-level course that provides specialisation in AI for students with a background in a technical subject. The programme takes advantage of the specialisms present in the School of Engineering, Computing and Mathematics (SECaM), building on the School’s strong industrial and world-leading research expertise in the exciting and evolving area of AI. The MSci AI programme is a one year MSc course, and will incorporate elements of the theoretical underpinnings of AI along with exposing students to the practical considerations of constructing AI software tools. Students will study deep technical modules on topics including machine learning, computational intelligence, computer vision and big data, while studying modules on applied AI and robotics to gain an appreciation of the wide range of industrial applications AI has in the modern world. Modules will comprise a range of activities, including lectures and seminars, with an emphasis on practical work. Computing programmes at Plymouth have substantial practical components, which prepares graduates well for work in their future career. This programme is no different, and students will graduate with experience of both using existing AI tools as well as constructing AI software from first principles. A dissertation over the summer will provide students the opportunity to carry out a research project of their choosing, working alongside the internationally recognised research being conducted in AI at Plymouth. The programme is designed to target graduates from STEM backgrounds (e.g., Computer Science, Mathematics, Engineering and the sciences) who wish to specialise in AI. It may also be suitable for non-STEM students with a mathematical sufficient background and relevant industrial experience.
Modules
Core modules AINT515Artificial Vision and Deep Learning AINT516Topics in Advanced Intelligent Robotics COMP5008Advanced Machine Learning COMP5009Computational Intelligence COMP5010Topics in Applied Artificial Intelligence MATH513Big Data and Social Network Visualization PROJ518MSc Dissertation and Research Skills
Assessment method
The programme is offered full-time over 12 months. There is no required module ordering for students studying part-time. All modules are core, thus ensuring that all students are guaranteed a consistent experience in semesters of their coverage of the key discipline area. Refer to the programme specification on the web page below
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
How to apply
International applicants
The University of Plymouth has a dedicated International Student Advice (ISA) service who will support you from the day you accept an offer at the University, right through to graduation. They will offer help and advice so you can get the most out of your studies, and your time in the UK, visit www.plymouth.ac.uk/student-life/services/international-students/international-student-advice for more information. You can apply for one of our postgraduate courses directly using our online application form. For details on how to apply, and to access the online application form, please visit www.plymouth.ac.uk/international/how-to-apply/international-students-postgraduate-applications. Once you have applied, your conditional offer letters will also be sent to you by email, so be sure to enter your current email address on your application and to check this email regularly. You'll need your unconditional letter, and the Confirmation of Acceptance for Studies (CAS) that we'll send you, when applying for your student visa to the UK. A minimum £2,000 tuition fee deposit will be required before we'll send you the CAS. We're a licenced Sponsor under the Points Based System. To comply with our duties as a Sponsor, we're required to check other aspects of your application in addition to your academic achievements, for example any previous studies, financial status and your immigration history in the UK. For course entry requirements (inc English requirements) please refer to the specific page for the course you are interested in (www.plymouth.ac.uk/study). A recognised English language qualification (e.g. IELTS) would be required or successful completion of one of the University's pre-sessional English Language courses. Check our country pages to find out more about application from your specific home country www.plymouth.ac.uk/international/study/international-students-country-guides. If you have any questions please contact [email protected]
Entry requirements
This programme primarily aims to recruit graduates from a STEM background with a degree to honours level at 2:2 or above in computing, engineering, mathematics, robotics, marine, and physical science related subjects. All applicants must have GCSE (or equivalent) Maths and English at Grade C or above. If your first language is not English then evidence of English proficiency is required. The minimum IELTS score for acceptable English proficiency for entry is normally 6.5 and not less than 5.5 in all components.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6.5 | With 5.5 in all elements. |
Full details of English Language requirements can be found on our website.
English Language Requirements
https://www.plymouth.ac.uk/international/how-to-apply/english-language-requirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
For all information about tuition fees, please visit our fees and funding pages at www.plymouth.ac.uk/study/fees
* Fees are correct at the time of publication and may be subject to change.
Provider information
University of Plymouth
Drake Circus
Plymouth
PL4 8AA