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Artificial Intelligence with Data Analytics at Teesside University - UCAS

Teesside University

Degree level: Postgraduate

Artificial Intelligence with Data Analytics (Taught)

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Open days

23Nov
Teesside University postgraduate open day (Middlesbrough, on campus)
Postgraduate
18Jan
Teesside University postgraduate open day (Middlesbrough, on campus)
Postgraduate

Course 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.
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) 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

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.
Artificial Intelligence with Data Analytics at Teesside University - UCAS