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Undergraduate degree in any subject with second class lower (2:2) or an international equivalent. We will also consider students with equivalent industrial work experience.
Months of entry
This MSc has been created as part of a £13 million Office for Students initiative to accelerate the number and diversity of skilled artificial intelligence (AI) and data science graduates. It has been designed from both an employer and student perspective, based on our internationally recognised research in multidisciplinary AI and Data Analytics, to provide distinctive and inclusive teaching for students from awide variety of backgrounds. As part of this, a number of £10,000 Scholarships are available for black, female and disabled students.
To meet employer demand, the number of skilled people in AI and data science needs to increase by 70% by 2020, just to keep pace with demand. There is also an acknowledgement that increasing diversity in the AI workforce is vital to ensure that everyone with the potential to participate has the opportunity to do so, in order to reflect the needs and make-up of society as a whole. This course therefore, has been developed with an Employer Steering Group including organisations such as Synectics Solutions Ltd, Powelectrics, Aspire Housing, SSE Enterprise Energy Solutions, Santander, Caja Ltd Astec IT Solutions, Teal Legal, Hildebrand Technology Limited, Rushkeep, Digital Law UK & Anson Evaluate, so that it not only meets the current demands of industry but also the skills that future industrial AI and data science will require.
We have then combined this with our own research into the barriers that underrepresented and non science, technology, engineering and mathematics STEM) students face when studying AI/Data Science courses, to create the course content, state-of-the-art delivery design, contextual assessments and pastoral support.
This course aims to support students, from both STEM and non-STEM disciplines by providing those without prior experience, the foundations of areas such as programming and mathematics, so that all students can then progress to more advanced areas such as Machine Learning, Data Analytics, Visualisation, Cloud Computing, the “Internet of Things” and Intelligent Systems. During the course, students will also further develop their academic and professional skills and get the chance to work with other students and external organisations to make real interdisciplinary and societal impact in taught modules, an A.I. and Data Science ambassador scheme and as part of an industrial project/placement.TEACHING FACILITIES
You will be taught in dedicated teaching and laboratory space equipped with cutting edge computer systems. We also have a MakerSpace, a multi-purpose research lab equipped with a variety of robots and aVicon motion-tracking system, a Gaming Lab and a perception lab with state-of-the-art virtual reality equipment. You will also have the opportunity to access data and systems from current research projects such as the Smart Energy Network Demonstrator (SEND) and to visit the Horwood Energy Centre on the Keele campus, the control room for SEND.
Should you wish for an alternative route and/or complete flexibility with your studies, we also offer 100% online Computer Science programmes. Find out more here.
100% Online Computer Science Programmes:
- MSc Computer Science
- MSc Computer Science with Data Analytics
- MSc Computer Science with Artificial Intelligence
Information for international students
IELTS 6.5 with a minimum of 5.5 in each component . The University also accepts a range of internationally recognised English tests.
If you do not meet the English language requirements, the University offers a range of English language preparation programmes.
During your degree programme you can study additional english language courses. This means you can continue to improve your English language skills and gain a higher level of English.
Fees and funding
Office for Students funded scholarship for the MSc in Artificial Intelligence and Data Science.
In 2020, Keele University was one of 18 Universities awarded a share of £13 million to boost the number and diversity of graduates in AI and data science technologies over the next three years. This followed a competitive bidding process run by the Office for Students (OfS) on behalf of the Department for Digital, Culture, Media and Sport (DCMS), Department for Business, Energy and Industrial Strategy (BEIS) and the Office for Artificial Intelligence (OAI).
Our programme offers Scholarships of £10,000 that are available for underrepresented students listed in the following eligibility criteria:
- Black students (Defined in line with the HESA student ethnicity codes)
- 21 Black or Black British – Caribbean
- 22 Black of Black British – African
- 29 Other Black background
- 41 Mixed – White and Black Caribbean
- 42 Mixed – White and Black African
- Disabled students (as defined under the Equality Act 2010)
- Female students
Further details as to why these underrepresented groups have been selected can be found on the OfS website.
For 2020 entry, there are 4 Scholarships available.
Prioritising criteria in case of oversubscription
Students with 2 or more underrepresented group criteria will be prioritised initially. Applicants will then be considered by the selection panel where the primary consideration is the candidate’s personal statement (submitted via the form linked below).
Panel membership comprises of the Head of School, Director of Education, School Athena Swan Lead and University Athena SWAN Support Officer.
Students from all countries, who meet the criteria, are eligible.
Payent amount and frequency
Successful applicants will receive £10,000 over the course of the academic year. Payment dates to be confirmed.
How to apply
In order to apply for the Scholarship, you must have already applied for a place on the University's MSc in Artificial Intelligence and Data Science course (specific entry requirements can be found on the course page). You can then apply for the Scholarship via the form below:
Application form: https://forms.gle/PjAeXfD9o7Xqf5Ji9
Closing date: 31st July 2020.
Please note that this is a competitive process and not all applications will be successful. The Scholarship is available only to students who register for and attend the degree programme. There is no appeals process if you are not successful as the panel’s decision is final; also, please note that we will not be able to offer feedback. You are welcome to reapply for the next intake if you are unsuccessful.
For September 2020 intake, notifications will be sent at the latest by 14th August 2020.
For further information on any aspect of completing your application, please email: firstname.lastname@example.org
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Dr Theocharis Kyriacou, Postgraduate Course Director