Entry requirements

Offers are generally extended to applicants who possess an upper second-class honours undergraduate degree (or equivalent) in computer science, engineering, or related fields such as informatics. Having a solid understanding of mathematics, whether gained through undergraduate studies or professional experience, is preferred. Proficiency in programming, particularly in Python, is essential. Each applicant will be evaluated individually based on their application, reference, and personal statement.

Months of entry

January, September

Course content

The MSc in Artificial Intelligence and Computer Science offers a comprehensive program that combines computing with various application domains. This curriculum is designed to enhance students' broad knowledge in the field while allowing them to focus on a wide range of specializations, including mobile application development, algorithms, web development, and artificial intelligence. This master's program prepares students for diverse careers in computer science. By participating in the MSc in Artificial Intelligence and Computer Science, you will:

  • Gain proficiency in the design, implementation, and testing of software.
  • Develop skills and experience working effectively in small teams.
  • Apply algorithmic and theoretical principles of computer science to address computing challenges across various application areas.
  • Demonstrate the ability to learn and develop expertise in specialized or emerging fields within computer science.

Information for international students

If English is not your first language, you must demonstrate proficiency in English to study at the University. Typically, we require an overall IELTS score of 6.5, with no less than 6.0 in each of the four components..

Fees and funding

UK students
£11,900
International students
£24,900

£1000 cohort scholarship avaliable for Home students

£3,500 cohort scholarship avaliable for International students

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details