MSc Data Science

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Tuition fee
Apply by
Start date
Jan 2025
Mar 2025
Sep 2025
Nov 2025
Sep 2026
Nov 2026
Duration
Campus
Telford Innovation Campus
Walsall Campus
Wolverhampton City Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
5 - 7 days after your application is submitted
Backlogs accepted
This course accepts backlogs

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.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Concepts & Technologies of Artificial Intelligence
  • Data Mining & Informatics
  • Data Science
  • Data Visualisation
  • Database Systems and Security
  • Project Management
  • Research Methods Statistics for Data Science
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Jan 2025
    Mar 2025
    Sep 2025
    Nov 2025
    Sep 2026
    Nov 2026
    Duration
    Campus
    Telford Innovation Campus
    Walsall Campus
    Wolverhampton City Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    5 - 7 days after your application is submitted
    Backlogs accepted
    This course accepts backlogs