Artificial Intelligence

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

Please see the University website for full details.

Months of entry

September

Course content

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.

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

The placement (optional)

You will have the opportunity to go on a work placement for 6 or 12 months. You are supported in finding placements and can apply for a vacancy as you would a job. There are dedicated sessions to support you in CV writing, interview skills and job applications as well as access to 1:1 tutorials. Most placements start on completion of the taught modules.

The placement will allow you to gain first-hand experience within a real business environment to enhance your future employability and are usually paid. Some students choose to base their research project on a business-related issue arising during the placement. This would give you access to research participants and primary data, and allow you to apply the theories and principles discussed on the programme to a real organisation.

While on placement, you will be supported by a dedicated placements team able to respond to any problems you may be having, an individual tutor who visits you twice while you are on placement and you will retain access to all the University facilities including e-resources. At the end of the placement, you are required to submit a placement portfolio containing your learning contract, a satisfactory employer appraisal, a case study and an end of placement presentation.

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.

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.

Information for international students

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.