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Applied Artificial Intelligence MSc

Different course options

Full time | Teesside University | 1 year | 20-SEP-21

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type


Course Summary

Course overview:

Artificial intelligence (AI) enables a digital computer or computer-controlled robot to learn, reason, discover meaning and perform tasks commonly associated with intelligent beings. AI applications include gaming, medical diagnosis, computer search engines, and voice or handwriting recognition.

You gain technical and critical thinking skills in applying knowledge of AI to real-world problems, and learn fundamentals of software for digital innovation, applied machine learning, big data and business intelligence, deep learning and applications. You explore professional, ethical, security and social implications of future AI technologies, and gain a range of transferable skills to progress into industry.

Progressing from almost any first degree discipline, you gain leading-edge skills, solid programming experience, research expertise and optional industry experience to enter this field and rapidly expanding job market. You work closely with our AI and Machine Learning research groups, and have the opportunity to undertake an internship.

How you learn

You learn concepts and methods through lectures, labs and tutorials using case studies and examples. Lectures include presentations from industry guest speakers. Critical reflection is key to successful problem solving and essential to the creative process. You develop reflective practice at an advanced level, then test and assess solutions against criteria through research.

Expect blended delivery of learning material, with a mix of face-to-face and online learning.

How you are assessed

You are assessed on your subject-specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace. The assessments include assignments, tests, case studies, presentations, research proposal and literature review, and a dissertation. The assessments may include individual or group essays or reports. The assessment criteria, where appropriate, includes assessment of presentation skills and report writing.

Career opportunities

Companies hiring AI professionals include Amazon, Google, Microsoft, Facebook, Huawei, Adobe, Oculus VR, GE and BAE Systems. According to , the median salary in the UK for AI professionals is £65k but the top 10% can earn upwards of £100k.

We prepare you for a career in industry. In addition to your taught classes, we create opportunities for you to meet and network with our industry partners through events such as our ExpoSeries, which showcases student work to industry. ExpoTees is the pinnacle of the ExpoSeries with over 100 businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment.


You gain an introduction to the Python programming language and its application to solving problems in digital innovation. This involves the principles of programming, the syntax and structure of Python, its relevant libraries and modules, and how it is incorporated in existing software tools. You form a solid foundation of producing software solutions to real-world problems.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Normally a first degree (2.2 minimum), relevant experience or equivalent qualifications. Any first degree subject excluding BSc (Hons) Artificial Intelligence, BSc (Hons) Computer Science, and BSc (Hons) Data Science. Entry from some first degree disciplines including BSc (Hons) Computing and BSc (Hons) Information Technology depends on course content. You are required to provide a full transcript of studies to enable our admissions team to determine your eligibility.

Department profile

Our School of Computing, Engineering & Digital Technologies is home to a diverse group of courses in the fields of animation and visual effects, computer games, computer science and cybersecurity, engineering, media and journalism and mathematics. Through education enriched by research, innovation, and engagement with business and the professions, we develop the next generation of problem solvers, innovators and leaders that employers and...more

University information

Based on its vibrant campus in the heart of Middlesbrough in North East England, Teesside University is a friendly, modern university offering a broad portfolio of courses. The University has recently invested more than £275m in its town-centre campus giving it a leading edge in digital innovation, forensic facilities and sport and health sciences buildings. The University is investing an additional £300m over the next ten years to further...more