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MSc Data Science

Nottingham Trent University

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Nottingham Trent University

Course options

  • Qualification

    MSc - Master of Science

  • Location

    Clifton - Campus

  • Study mode

    Full time

  • Start date

    21-SEP-26

  • Duration

    1 Year

Course summary

This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Development of your understanding of deriving value from the data analytics functions is also a focus of this course.You will learn how to support organisations in improving their data capture, management and analysis processes with a focus on efficiency and profit, whilst adhering to the current highest ethical standards. This course builds on NTU’s experience of upskilling major employers in the region in the areas of data analytics and data science. Our previous experience in work-based learning prepared graduates to take innovative roles in the rapidly changing Data Science industry.Studying takes place in our purpose-built ISTeC building, where you will have access to our specialist Data Science teaching facility and 3D imagery lab. The industry-focused nature of this course will ensure that you stand out from the crowd when it comes to job applications and pursuing your future career. Nottingham Trent University graduates are widely respected amongst employers and our students are perceived as having a competitive edge due to the hands-on approach of our teaching.

Tuition fees

Students living in United States
(International fees)

£ 19,900per year

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

University information

Nottingham Trent University

Nottingham Trent University

Nottingham Trent University

  • University League Table

    46th

  • Campus address

    Nottingham Trent University, 50 Shakespeare Street, Nottingham, Nottinghamshire, NG1 4FQ, United Kingdom

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Enjoy social opportunities, including Global Lounges, Virtual Global Lounge, NTU Global Week, and meet-and-greet sessions for international students.

Subject rankings

  • Subject ranking

    Computer Science

    53rd out of 117 4

  • Entry standards

    / Max 223
    125 56%

    63rd

  • Graduate prospects

    / Max 100
    79.0 79%

    70th

    11

  • Student satisfaction

    / Max 4
    3.04 76%

    56th

    10

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