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Course options

  • Qualification

    MSc - Master of Science

  • Location

    City Campus

  • Study mode

    Full time

  • Start date

    20-SEP-21

  • Duration

    14 months

Course summary

The MSc Data Science is a conversion MSc, designed for students from a broad range of disciplines who wish to enhance their existing knowledge and skills in order to open up career opportunities in Data Science.

Data Science is playing an increasingly important role in all aspects of the modern world. From infrastructure and education to healthcare and climate change the importance of data science cannot be overemphasised. There is now a persistent demand for graduates from a variety of backgrounds who have the expertise and training needed to responsibly use data to combat some of the world’s greatest challenges. This course has been designed and developed by a team of experts to produce agile, flexible and dynamic graduates with the right blend of training, education and management skills to meet the demands of industry in a variety of areas.

This M.Sc. Data Science is a conversion M.Sc. programme aimed at converting graduates from a broad range of disciplines into Data Science specialists. The distinctive nature of this course means that it appeals to students from a broad spectrum of academic backgrounds who may benefit from some additional assistance with areas outside of their previous area of study such as mathematics or programming. Prior to joining the course students are given an induction programme in mathematics and programming to equip them with the core skills needed to succeed. This induction programme will be available to students all year round and additional support with mathematics and programming will be provided as needed by the expert support team at the University.

As part of the course students will have the opportunity to apply to do a paid internship with one of our industry partners, a list which includes The Royal Wolverhampton NHS Trust and Transport for West Midlands. Industry partners will also support the programme by providing students with case studies based on real events and will provide their cloud training environment to allow modelling of real-world scenarios.

Potential Career Paths

This M.Sc. Data Science (conversion) has been developed with a specific focus on employability. The potential industry internship provides students with the opportunity to fine tune their skills directly in the workplace and to gain valuable work experience. The primary goal of the new conversion courses is to respond to the shortage of data science and AI specialists in the UK.

The Government's Digital Strategy predicted that within 20 years, 90 per cent of all jobs will require some element of digital skills. Possible career paths for graduates from these roles include

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Business Intelligence Analyst

The combination of graduates original first degree with the skills obtained on this course will open up a broad range of career pathways.

Tuition fees

Students living in United States
(international fees)

£ 13,950per year

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

University information

University of Wolverhampton

  • University League Table

    125th

  • Campus address

    University of Wolverhampton, Wulfruna Street, Wolverhampton, Wolverhampton, WV1 1LY, England

The Centre for International Development and Training (CIDT) has a 45-year track record of working in almost 140 countries.
Each year the university welcomes students from over 130 nations, studying at one of its UK campuses or partner institutions overseas.
The university works with TNE partners around the world: China, Hong Kong, India, Nepal, Oman, Greece, Sri Lanka, Malaysia, Myanmar, Ireland and France.

Subject rankings

  • Subject ranking

    108th out of 113 7

  • Entry standards

    / Max 236
    87 39%

    112th

    5
  • Graduate prospects

    / Max 100
    74 74%

    87th

    27
  • Student satisfaction

    / Max 5
    4.01 80%

    35th

    57

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