Studyportals

Data Science and Analytics

University of Leeds

M.Sc. On Campus
12 months
Duration
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Science and Analytics course at University of Leeds combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School.

Visit the official programme website for more information

Overview

We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions.

Why do we store data? Where do we store it? How do we retrieve it? What do we use it for?

There is an increasing demand for people who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics, as well as a familiarity with the data needs and processes of a number of different areas, including healthcare, business, government and the environment.

The Data Science and Analytics course at University of Leeds  offers you the opportunity to develop a range of relevant skills including:

  • analysing structured and unstructured data
  • analysing large datasets
  • critically evaluating results in context
  • getting insights from data

Career 

There is increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills.

The emerging era of ‘big data’ brought about by the digital technology revolution shows no signs of abating. With the modern world producing ever-growing amounts of new information, data scientists will become increasingly important to help governments, businesses, researchers, NGOs and many other organisations make sense of it all.

Programme Structure

Courses include:

  • Data Science
  • Learning Skills through Case Studies
  • Dissertation in Data Science and Analytics
  • Information Visualization
  • Bio-Inspired Computing
  • Machine Learning

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component.

  • Successful applicants will have strong grades in relevant mathematical modules. We may ask for further detailed module information if these are not clear on your transcript. We do not normally accept degrees in Accountancy or Finance.

Funding

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There may be help for students in the form of loans and non-repayable grants from the University and from the government. 

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Data Science and Analytics
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University of Leeds

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