Course summary
Artificial intelligence (AI) is increasingly important in developments in all parts of business and society. This course gives you specialist skills in artificial intelligence, opening the door to a range of careers. You will develop strong theoretical and technical knowledge and skills including a thorough grounding in data analytics and specialist skills in artificial intelligence, which will provide the directly transferable skills for a career in the field of AI. You will explore state-of-the-art technologies, concepts and theories, supported by a thriving active research community. You will develop specialist knowledge and experience in the development of intelligent systems. Topics studied will include machine learning, AI Programming, research and statistical methods and data analytics. The distinctive nature of the award is the close integration with our AI and Machine Learning research groups coupled with the opportunity for an internship and a highly supportive environment. The course provides you with directly transferable skills for a career in a range of industries from the finance sector to healthcare to automotives, as well as progression opportunities to PhD research. Careers in AI include business intelligence developer, data scientists, AI developer and big data engineers. Visit Teesside University’s website to apply to start in September or January. 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
The programme assessment strategy has been designed to assess your subject specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace. The strategy ensures that you are provided with formative assessment opportunities throughout the programme which support your summative assessments. Assessments will include assignments, tests, case studies, presentations, research proposal and literature review, and the production of a dissertation. Assessments may include individual or group essays or reports. The assessment criteria, where appropriate, will include assessment of presentation skills and report writing.
Entry requirements
You will normally have a first degree in related discipline (2.2 minimum) or relevant experience or equivalent qualifications. Acceptable subjects include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensics. In addition, international students will require IELTS 6.0 or equivalent.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
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