18Jan
PostgraduateCourse summary
Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This emerging profession sits at the cutting-edge of computer science and graduates are increasingly in demand from industry. This is an innovative course that will equip you with the specialist skills and knowledge to make an immediate and meaningful contribution to a range of industry environments. You are taught by expert staff from our machine intelligence research group, ensuring that you have access to the very latest thinking from the field of data science. You have the opportunity to contribute to live research and to progress from postgraduate study to postdoctorate research. We have a proven record of successful research, consultancy and enterprise projects with industry in the field of data science, which means that staff have relevant real-world case studies to draw upon for teaching materials. 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. Graduates can expect to find employment in one of the increasing number of sectors needing data science specialists, such as the defence industry, financial industry, telecommunications, and health sector. 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. 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) in a related discipline or equivalent qualifications (including international qualifications) or relevant experience. 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
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
Tees Valley
TS1 3BX