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  • Undergraduate courses
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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Sheffield

  • Study mode

    Full time

  • Start date

    26-SEP-22

  • Duration

    1 year

Course summary

This course will develop your skills in analysing big data sets so that you can transform the information into actionable knowledge.

Course description

This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry.

The course focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data. The course makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.

Please see our University website for the most up-to-date course information.

Tuition fees

Students living in United States
(international fees)

Information not available

Please check with the institution for most up to date details.

University information

University of Sheffield

  • University League Table

    28th

  • Campus address

    University of Sheffield, Western Bank, Sheffield, Sheffield, S10 2TN, England

Pathway programmes are available to help students with English as a second language and different educational backgrounds prepare for their academic career.
With nearly 11,000 international students, Sheffield is a diverse, welcoming city that’s celebrated for its safety and strong sense of community and culture.
The university offers a range of scholarships for high-achieving international students who demonstrate excellent academic potential.

Subject rankings

  • Subject ranking

    13th out of 114 4

  • Entry standards

    / Max 236
    153 65%

    25th

    3
  • Graduate prospects

    / Max 100
    96.0 96%

    7th

    12
  • Student satisfaction

    / Max 5
    3.87 77%

    39th

    2

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