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Data Science (with Advanced Practice) MSc

Teesside University

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    Teesside University

  • Study mode

    Full time

  • Start date

    15-SEP-25

  • Duration

    2 years

Course summary

Course overview:

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 innovative data science course equips 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.

The School has 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.

There are three routes you can choose from to gain an MSc Data Science:

  • full-time - 2 years with advanced practice (September and January start)
  • full-time - 1 year (September start) or 16 months (January start)
  • part-time - 2 years.

How you learn

You learn about concepts and methods primarily through keynote lectures and tutorials using case studies and examples. Lectures include presentations from guest speakers from industry. Critical reflection is key to successful problem solving and essential to the creative process. You develop your own reflective practice at an advanced level, then test and assess your solutions against criteria that you develop in the light of your research.

How you are assessed

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.

Career opportunities

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.

Tuition fees

Students living in Hong Kong
(International fees)

£ 10,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Teesside University

  • University League Table

    100th

  • Campus address

    Teesside University, Teesside University, Middlesbrough, Tees Valley, TS1 3BX, England

To get students off to the best possible start, Teesside University meets international students at the airport and takes them to their accommodation for free.
With an English language cafe and orientation activities throughout the year, Teesside University is experienced in helping international students feel at home.
Teesside University offers a range of scholarships to make the transition to UK study more affordable.

Subject rankings

  • Subject ranking

    94th out of 117 3

  • Entry standards

    / Max 227
    127 56%

    68th

  • Graduate prospects

    / Max 100
    66.0 66%

    103rd

    6
  • Student satisfaction

    / Max 4
    3.23 81%

    9th

    5

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