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  • Undergraduate courses
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Viewing as a student from Hong Kong living in Hong Kong interested in Undergraduate courses

MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering)

Durham University

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Durham University

Course options

  • Qualification

    Professional Masters

  • Location

    Main Campus

  • Study mode

    Full time

  • Start date

    29-SEP-25

  • Duration

    1 Year

Course summary

Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:

  • Implementation and application of fundamental techniques in an area of specialisation (in addition to AI for Engineering, we offer options in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)
  • Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
  • Mathematical aspects of machine learning a

Tuition fees

Students living in Hong Kong
(International fees)

£ 34,000per year

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

University information

Durham University

Durham University

Durham University

  • University League Table

    7th

  • Campus address

    Durham University, The Palatine Centre, Stockton Road, Durham, Durham, DH1 3LE, United Kingdom

VIEW PROFILE
Choose from a wide range of fascinating courses led by world-leading experts in a university that blends the traditional and state-of-the-art.
More than 120 countries are represented at Durham, creating a diverse and welcoming community.
Its collegiate system makes Durham University exceptional. Each student is a proud member of a college, and each college has its own character and traditions.

Subject rankings

  • Subject ranking

    Computer Science

    9th out of 117 5

    4th out of 28 1

  • Entry standards

    / Max 227
    200 88%

    10th

  • Graduate prospects

    / Max 100
    96.0 96%

    6th

    2

  • Student satisfaction

    / Max 4
    2.84 71%

    100th

    59

  • Entry standards

    / Max 228
    204 90%

    4th

  • Graduate prospects

    / Max 100
    94.0 94%

    5th

    1

  • Student satisfaction

    / Max 4
    3.08 77%

    9th

    5

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