Taught course

Affective Computing

Wrexham Glyndwr University · School of Computing and Communications Technology

Entry requirements

The standard entry requirement for these programmes is an honours degree with at least a 2:2 classification in a Computer Science related subject area, or equivalent in any science or technology-based degree. Applicants with substantial commercial or industrial experience can be accepted, subject to interview and references. Applicants should be competent computer programmers.

Those interested in studying the programme are welcome to contact the programme leader for an informal discussion, prior to applying.

Months of entry


Course content

Affective computing is an exciting, multi-disciplinary strand of computing that addresses how computers, and other technologies, will become more interactive and efficient by recognising, and responding to, human emotions.

This course offers students a unique opportunity to be at the forefront of intelligent, emotionally interactive technologies as they come to fruition in the industry and marketplace over the next 1
0 years. Utilising emergent technologies, such as the Internet of Things (IoT), wearable and mobile devices, and Big Data, the course combines theory and practice, as it prepares students to seize the opportunity to create innovative computers that are powerful, customisable, adaptive, and responsive to their users.

Ultimately, affective computing can provide a way for humans to seamlessly filter out a lot of the information they are presently swamped with and to get to the services and systems that are right for them.

Indications from the Tech Partnership skills council show that there is a need for 1 million new employment roles in the digital economy between now and 2025 and that 52% of digital businesses currently struggle to fill specialist vacancies.

Key course features

  • Gain hands-on experience of working with a range of sensors and equipment in building experimental, affective computing systems.
  • Learn about the emerging fields of Affective Computing, the Internet of Things (IoT), and Big Data.
  • The course is taught and assessed by active researchers in the field, who all belong to the University’s Affective Audio and/or ARClab groups.
  • The ability to critically appraise and disseminate research results.
  • Provides students with a sound basis for further research and/or professional development.

The course provides students with immersion in several distinct subject disciplines that support the design, development, and evaluation of affective computing systems. The course modules cover the practical skills of computing, necessary to build affective, interactive technologies, supported by learning the theories, investigation techniques, and research skills that allow them to work successfully with leading edge, emerging technologies and devise solutions that are fit for purpose.

Fees and funding

UK students
International students

The fees you pay and the support available may depend on a number of different factors. Full information can be found on our website.

Qualification and course duration


part time
30 months
full time
12 months

Course contact details

01978 293439