ASP._Page_site_elements_razor_entry_records_course_record_cshtml

What makes studying an MSc in Artificial Intelligence at Worcester special?

Our Master of Science in Artificial Intelligence (MSc) program is a Postgraduate qualification designed for students with a background in Computing who are looking to specialise in Artificial Intelligence or Data Science.

You will be taught by academic staff who have a wealth of experience in industry, research and teaching. You will gain experience focussed on the latest developments in how AI systems work and discover what research or development opportunities are opening up. The course mixes practical development, opportunity discovery and innovative use, underpinned by core principles such as security, dependability, ethical usage and sustainability. If you are working in a profession where you can already see a potential for AI or Data Science this course can support your career development and AI journey. 

*subject to approval (2025)

Overview

Overview

Key features

The course equips you for a professional mastery in artificial intelligence and has the following features:

  • Modules that incorporate the latest research and contemporary ideas in the field
  • Structured learning that will take you from understanding basic concepts, to applying, testing and managing AI provision
  • A productive mix of practical application enhanced by an understanding of AI theory and an exploration of security and governance, corporate and social ethics, AI implementation strategy, and sustainable development goals
  • Teaching staff from a wealth of backgrounds including industrial and business applications as well as advanced research establishments
  • Hands on experience in exploring the latest technological and computing technologies, such as AI programming, autonomous systems and Internet of Things technologies
Entry requirements

Entry requirements

Entry requirements

An honours degree at 2:2 level or above in a computing- or technology-related subject (or international students holding a qualification recognised as equivalent by the University).

Computing or technology-related subjects might include:

  • computing
  • computer science
  • computer engineering
  • engineering
  • information technology etc

Entry to the MSc Artificial Intelligence requires all applicants to complete an application form. Where information on the form is insufficient for a decision to be made the applicant will be requested to attend an interview with the Admission Tutor.

If you have any questions about entry requirements, please contact the Admissions Office on 01905 855111 or email admissions@worc.ac.uk for advice.

Other Information

Students with relevant previous study at postgraduate level or with extensive experience may be considered eligible for recognition of prior learning. Please contact the Registry Admissions Office for further information or guidance on 01905 855111. Further information can be found on our Recognition of Prior Learning Registry Services page.

Students whose first language is not English are required to demonstrate proficiency to a minimum level of 6.5 IELTS (and minimum of 5.5 in each element) or equivalent.

We accept IELTS, Pearson and many Cambridge certificates as a proof of English language fluency on our degree courses. Other equivalent English qualifications will also be considered as well as qualifications recognised as equivalent by the University. Some courses may require a higher score for professional accreditation or registration. Find out more about language requirements and support.

Course content

Course content

Our courses are informed by research and current developments in the discipline and feedback from students, external examiners and employers. Modules do therefore change periodically in the interests of keeping the course relevant and reflecting best practice. The most up-to-date information will be available to you once you have accepted a place and registered for the course. If there are insufficient numbers of students interested in an optional module, this might not be offered, but we will advise you as soon as possible and help you choose an alternative. 

Semester 1

  • Programming for AI
  • Research Methods
  • AI Methods and Theory
  • AI Strategy

Semester 2
  • Digital Ethics, Security and Governance
  • AI Team Project
  • Managing Computer Projects
  • AI Research Topics

Semester 3
  • Research Project (Dissertation)

The internship (Optional)

An optional internship (up to 6 months in duration) is available to all students, taking place on completion of the taught modules. This internship will not be credit-rated but will allow the student to gain first-hand experience within a real business environment to enhance their future employability. Students may also choose to make use of this opportunity to base their Research Project on a business-related issue arising during the internship. There may be possibilities, with the employer’s permission, to gain access to research participants and primary data, and to apply their understanding of theories and principles discussed within their programme to a live organisational setting.

Securing the internship is the responsibility of the students to arrange and is not necessarily paid. Students who request the internship option will need to secure this by a specified deadline. If the deadline isn't met, the course will revert to the route without internship.

If you decided to take the internship option, the duration of the course will be 18 months. The internship begins when the taught elements of the course are completed and could be up to 6 months in duration. Full engagement with the dissertation will start at the end of the internship.

Part-time option

The course will normally take one academic year to complete. Part time students will complete the course over 2 years at least. The maximum registration periods allowed for the completion of these awards in part time mode (without credit on entry) is 6 years part-time.

Teaching and assessment

Teaching and assessment

The University places emphasis on enabling students to develop the independent learning capabilities that will equip you for lifelong learning and future employment, as well as academic achievement. A mixture of independent study, teaching and academic support from Student Services and Library Services, and also the personal academic tutoring system enables you to reflect on progress and build up a profile of skills, achievements and experiences that will help you to flourish and be successful.

Teaching

You are taught through a combination of interactive workshops, lectures, seminars and laboratory practical activities, fieldwork, etc. Interactive workshops take a variety of formats and are intended to enable the application of learning through discussion and small group activities. Seminars enable the discussion and development of understanding of topics covered in lectures, and laboratory practical activities are focused on developing subject specific skills and applied individual and group project work.

In addition, you are assigned a personal academic tutor who will advise you throughout your course.

The University places emphasis on enabling students to develop the independent learning capabilities that will equip you for lifelong learning and future employment, as well as academic achievement. A mixture of independent study, teaching and academic support from Student Services and Library Services, and also the personal academic tutoring system, enables you to reflect on progress and build up a profile of skills, achievements and experiences that will help you to flourish and be successful.

Contact time

Each module will have a weekly session of two hours. In a typical week you will have around 8 contact hours of teaching, but this might differ based on the number of modules taken in each semester if you selected the Part time study mode.

Teaching sessions will typically take place in our dedicated computer labs. We also have open access computer labs that you can use outside of scheduled teaching sessions. 

Independent self-study

In addition to the contact time, you are expected to undertake around 30 hours of personal self-study per week. Typically, this will involve completing online activities, reading journal articles and books, working on individual and group projects, undertaking research in the library and online, preparing coursework assignments and presentations, and preparing for examinations.

Independent learning is supported by a range of excellent learning facilities, including The Hive and library resources, the virtual learning environment, and extensive electronic learning resources.

Duration

  • 1 Year full-time 
  • 2 Years at least for part-time (Maximum registration 6 years)

Timetables

Timetables are normally available one month before registration.

Please note that whilst we try to be as student-friendly as possible, scheduled teaching can take place on any day of the week; and some classes can be scheduled in the evenings.

Assessment

The course provides opportunities to test understanding and learning informally through the completion of practice or ‘formative’ assignments.

Each module has one or more formal or ‘summative’ assessments which are graded and count towards the overall module grade. Assessment methods include written examinations and a range of coursework assessments such as essays, reports, portfolios, performance, presentations and a final year independent studies project.

The precise assessment requirements for an individual student in an academic year will vary according to the mandatory and optional modules taken, but a typical formal summative assessment pattern of the course is:

  • 3 x written reports
  • 1 x Group project
  • 2 x practical assessments
  • 3 x presentation
  • 2 x formal examinations of 2 hours duration
  • 1 x research proposal
  • Major dissertation

You will receive feedback on practice assessments and on formal assessments Feedback is intended to support learning and you are encouraged to discuss it with personal academic tutors and module tutors as appropriate.

We will provide you with feedback on formal course work assessments within 20 working days of hand-in.

Teaching staff

You will be taught by a teaching team whose expertise and knowledge are closely matched to the content of the modules on the course. The team includes senior academics, professional practitioners with industry experience, demonstrators and technical officers.

Teaching is informed by the research and consultancy, and many of our lecturers have a higher education teaching qualification or are Fellows of the Higher Education Academy. You can learn more about the staff by visiting our staff profiles.

Programme specification

For comprehensive details on the aims and intended learning outcomes of the course, and the means by which these are achieved through learning, teaching and assessment, please download the latest programme specification.

Meet the team

You will be taught by a teaching team whose expertise and knowledge are closely matched to the content of the modules on the course. The team includes senior academics, professional practitioners with industry experience, and visiting speakers with specialised expertise. Teaching is informed by the research and consultancy work carried out by staff and you can learn more about the staff by visiting our staff profiles.

Here are a few of the current members of the department who teach on this course:

Andrew Tomlinson

Dr Andrew Tomlinson

Andrew has worked on computing projects for over twenty years. His work has included information systems development, systems analysis, IT strategy planning, data science and research. He has worked on systems for healthcare and medical diagnosis, banking, transport, cybersecurity, DNA analysis, and telecoms. Andrew’s PhD looked at detecting cyberattacks in vehicles – a potential huge problem in future driverless cars.

 

When he is not researching the latest computing developments or planning lectures, Andrew enjoys watching old movies, especially from the silent era, and listening to all sorts of music.

dr-colin-b-price

Dr Colin B Price

Colin has spent his entire career in education. From the early years teaching Physics at the British School of Brussels to his current post as Principal Lecturer in Computing, Colin has always strived to integrate his research and teaching. He has held faculty positions at the Catholic University of Leuven, Belgium, where he has taught Electronic Engineering and also Physics to Medical Science students. 

PhD Electrotechnical Engineering (Katholieke Universiteit Leuven, Belgium)

MA Natural Sciences (Cantab)

BA Natural Sciences (Cantab) 

dr-chris-bowers

Dr Chris Bowers

Chris is a Principal Lecturer in Computing and is currently the China Partnership Lead for Worcester Business School. His research is focussed on Interactive Intelligent Systems encompassing a range of application areas including behaviour change technologies, energy demand management, health and wellbeing.

Chris completed a BSc in Physics and Computer Science at Keele University before progressing to a MSc in Natural Computation at the University of Birmingham and then continuing at the University of Birmingham to complete a PhD in Computer Science.

Hayder Ghazi Alwattar

Dr Hayder Ghazi Alwattar

Throughout his career Hayder has had a skill and passion for passing on knowledge in one form or another. During Hayder's PhD studies, he mentored several senior undergraduates at Girne American University, which is when he realized his passion for teaching.

Pete Clews

Peter Clews

Peter has a wide variety of industry experience, including three years in database administration and data analysis for Mercedes-Benz dealerships. He has a BSc Computing with Business from the University of Worcester, where he was awarded the Academic Achievement Scholarship for his first-year results. He has an MSc in Business Intelligence from Birmingham City University (with distinction), where the topic of his dissertation was a review of rudimentary methods of sarcasm classification in tweets.

Peter currently assists with delivering the undergraduate database modules, as well as contributing to the postgraduate corporate intelligence modules. His research interests include data mining, text mining, machine learning algorithms and database architectures. Peter also has a keen interest in the provision of support for students on the autistic spectrum within higher education.

Chris Blythe

Chris Blythe

After a varied career Chris completed a Bachelors in Computing at the University of Worcester, then studied a Masters in Distributed Computing at the University of Helsinki followed by working at the University of Huddersfield as a researcher on Augmented Reality for Dementia. Currently working on modules in games development, programming and mobile development, his interests include Game based learning, Education for Sustainable Development and Augmented reality for Dementia.

Careers

Careers

Our MSc will equip you with skills to pursue your career in AI and will also pave the way for studying this field at PhD level, should that be your desire.

Opportunities for AI professionals include:

  • Prompt Engineer
  • AI Programmer
  • Requirements Analyst
  • Games Developer
  • Data Scientist
  • Digital Start-up Entrepreneur

Beyond specific technical skills, our MSc will give you the opportunity to develop a range of transferable skills which are highly valued, such as: problem solving, team leadership, presentation skills, adaptability, and a sustainability mindset.

Costs

Fees and funding

Full-time tuition fees

UK and EU students

The standard tuition fee for full-time home and EU students enrolling on MA/MSc/MBA/MRes courses in the academic year 2024/25 is £9,000 per year.

For more details, please visit our course fees page.

International students

The standard tuition fee for full-time international students enrolling on MA/MSc/MBA/MRes courses in the academic year 2024/25 is £17,400 per year.

For more details, please visit our course fees page.

Part-time tuition fees

UK and EU students

The standard tuition fees for part-time home and EU students enrolling on MA/MSc/MBA/MRes/PGCert/PGDip courses in the academic year 2024/25 are £750 per 15-credit module, £1,500 per 30-credit module, £2,250 per 45-credit module, and £3,000 per 60 credit module.

For more details, please visit our course fees page.

International students

The standard tuition fees for part-time international students enrolling on MA/MSc/MBA/MRes courses in the academic year 2024/25 are £1,450 per 15-credit module, £2,900 per 30-credit module, £4,350 per 45-credit module, and £5,800 per 60 credit module.

For more details, please visit our course fees page.

International fees and finance

If you are an international applicant, information on international fees and relevant scholarships is available on our International student fees page.

Postgraduate loans

The Government will provide a loan of up to £11,836 if your course starts on or after 1 August 2022 per eligible student for postgraduate Masters study. It will be at your own discretion whether the loan is used towards fees, maintenance or other costs.

For more details visit our postgraduate loans page.

International Scholarships and Discounts 

There are substantial Postgraduate Scholarships and Discounts available for International Students of up to £3,000, based on their grades. 

Further information is available on our International student fees page. 

Additional costs

Every course has day-to-day costs for basic books, stationery, printing and photocopying. The amounts vary between courses.

If your course offers a placement opportunity, you may need to pay for an Enhanced Disclosure & Barring Service (DBS) check.

Accommodation

Finding the right accommodation is paramount to your university experience. Our halls of residence are home to friendly student communities, making them great places to live and study.

We have over 1,000 rooms across our range of student halls. With rooms to suit every budget and need, from our 'Chestnut Halls' at £131 per week to 'Oak Halls' at £221 per week (2024/25 prices).

For full details visit our accommodation page.
How to apply

How to apply

MSc Artificial Intelligence

This course is recruiting for the academic year 2025/26

If you have any questions, please contact the Admissions office on 01905 855111 or admissions@worc.ac.uk

Please make your application via our online application form.

Apply for MSc Artificial Intelligence Full Time Apply for MSc Artificial Intelligence part time

Get in touch

If you have any questions, please get in touch. We're here to help you every step of the way.

Postgraduate Course Team

PGWBS@worc.ac.uk

Dr Andrew Tomlinson

Course contact
a.tomlinson@worc.ac.uk

Worcester Business School - Similar Courses

Project Management MSc

Postgraduate

This course will provide you with a range of knowledge and skills that will give you a competitive advantage in the area of Project Management.

Logistics and Supply Chain Management MSc

Postgraduate

The MSc is aimed at graduates wanting to gain the knowledge and experience to achieve a career in the area of Logistics, Supply Chain and Operations Management.

Human Resource Management MSc

Postgraduate

This CIPD accredited Human Resource Management MSc course develops an understanding of the theories, models and strategies relevant to the management of people.

Computing MPhil/PhD

Postgraduate

We welcome applications to undertake research towards MPhil and PhD degrees in Computing.