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MSc Applied Artificial Intelligence (with Advanced Practice)

Teesside University

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.

The one-year programme is a great option if you want to gain a traditional MSc qualification. The two-year master’s degree with advanced practice enhances your qualification by adding a vocational or research based internship to the one-year master’s programme. A vocational internship is a great way to gain work experience and give your CV a competitive edge. A research internship provides you with the opportunity to develop your analytical, team-working, research and academic skills by working alongside a research team in an academic setting. We guarantee a research internship, but cannot guarantee a vocational internship. We will, however, provide you with practical support and advice on how to find and secure your own vocational internship position should you prefer this type of internship.

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Modules

  • Compulsory modules
  • Artificial Intelligence Ethics and Applications
  • Artificial Intelligence Foundations
  • Big Data and Business Intelligence
  • Computing Masters Project
  • Deep Learning
  • Machine Learning
  • Software for Digital Innovation
  • Internship
  • Requirements

    Listed below are the documents required to apply for this course.
    £15,000 Per Year

    International student tuition fee

    2 years

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time