22Jun
PostgraduateCourse summary
This course is designed for graduates seeking to build on existing skills to develop specific expertise in the field of artificial intelligence and data analytics. You strengthen and deepen your skills on the cutting edge of computer science and are prepared to make the transition from programmers to team leaders and designers. Particular features include:
- In addition to major themes of artificial intelligence and data analytics, you also focus on a supporting strand of statistical methods and research methods to provide the academic rigour required for postgraduate study and the practical skills for entry to industry.
- You experience new trends pervading the software industry that influence a wide range of applications, from supply chain analysis to pharmaceutical manufacture.
- You benefit from a range of authentic and engaging learning experiences and assessments.
- The course encapsulates leading edge skills, solid programming experience, research expertise and industry experience.
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. The assessments will include assignments, tests, case studies, presentations, research proposal and literature review, and the production of a dissertation. The assessments may include individual or group essays or reports. The assessment criteria, where appropriate, will include 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 include artificial intelligence, computer forensics, computer science, computing, information technology, artificial intelligence, data science, computer forensics and digital forensics. 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