Admission 2023 Apply Now
Master of Science Data Science

Master of Science Data Science

Teesside University

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.

Programme Overview

Awarding authority Teesside University, UK
Academic Year/Time Schedule/Programme Duration Duration of course is 1 year
Mode Full Time / Part Time
Teaching Amenities, Facilities etc Lecture rooms, Library, Computer lab, Student lounge



20 years old

    • An honours degree with a minimum grade-point average of 2.7/4.0


    Candidates who are at least 30 years of age with at least 8 years of working experience. To qualify as a mature candidate, you are required to submit a Personal Statement of not more than 200 words and 2 Referee Reports from at least one employer.  Shortlisted applicants may be required to attend an interview.

    Course Application Fee
    Course Application Fee* Local Students : S$150 (Onetime Only)
    International Students : S$450 (Onetime Only)
    – Course application fee is non refundable.
    – Fees indicated are exclusive of GST.
    Fees Breakdown Total Payable
      Local International
    Tuition Fee S$22,000 S$22,000
    Total Course Fees Payable S$22,000 S$22,000
    1. Course Fee is inclusive of Tuition Fees & Exam Fees (one time)
    2. FPS Insurance premiums are paid by Amity, unless stated in the Student Contract which has to be paid by the student separately.
    3. Fees indicated are exclusive of GST.
    4. For Miscellaneous Fees: Click Here
    5. Click Here for more information on the Mode of Payment.
    Module Titles Credits
    Big Data and Business Intelligence 20
    Data Visualisation 20
    Interactive Visualisation 20
    Statistical Methods for Data Analytics 20
    Research Methods 20
    Machine Learning 20
    Computing Masters Project 60

    View Module Descriptions

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