22Jun
PostgraduateCourse summary
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. 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 businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment. Examples of specific jobs held by AI professionals include: software analysts and developers, computer scientists and computer engineers, algorithm specialists, research scientists and engineering consultants, mechanical engineers and maintenance technicians, manufacturing and electrical engineers, surgical technicians working with robotic tools, medical health professionals working with artificial limbs, prosthetics, hearing aids and vision restoration devices. Companies hiring AI professionals include Amazon, Google, Microsoft, Facebook, Huawei, Adobe, Oculus VR, GE and BAE Systems. According to itjobswatch.co.uk, the median salary in the UK for AI professionals is £65k but the top 10% can earn upwards of £100k. Visit Teesside University’s website to apply. You may wish to study our two year advanced practice route which enhances your qualification by adding a vocational or research-based internship.
Modules
Access course information through Teesside University’s website using the course page link provided (or visit www.tees.ac.uk).
Assessment method
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.
How to apply
International applicants
Select your country/region to find out about our entry requirements, our local offices and agents in your area and to check key deadlines for deposits and pre-CAS documents: tees.ac.uk/international.
Entry requirements
Applicants should normally have a good honours degree (2.2 or above) or relevant experience or equivalent qualifications. Acceptable subjects EXCLUDE 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. Non-UK students must also meet the University's minimum English language requirements.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Find out more about fees, funding and scholarships if you are from the UK or Ireland here: tees.ac.uk/pg or from your course page.
Provider information
Teesside University, Middlesbrough
Teesside University
Middlesbrough
Tees Valley
TS1 3BX