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MSc Data Science

  • DeadlineStudy Details:

    Full time September start – 12 months duration

    Full time February start – 18 months duration

    Part time September start – 24 months duration

Course Description

Data science is rapidly emerging in organisations and the need for fully trained data scientists, analysts and programmers is in demand now more than ever. Businesses rely on big data to uncover hidden patterns and unknown correlations to make informed decisions and drive business success. On the Data Science course you will learn how to apply high level analytical skills and knowledge to solve a range of real-world problems.

The MSc Data Science is designed to support your development of transferable skills and expertise to play a leading role at a technical and practical level in the industry. Additionally, you will work towards a globally recognised qualification, theĀ SAS Joint Certificate in Applied Statistics and Data Mining. The Joint Certificate will validate your skills and ability to use SAS software, giving you a competitive advantage in the job market.

Entry Requirements

Suitable for graduates with a minimum 2:2 Honours degree or equivalent in a numerate discipline across any STEM or business subject. Relevant industry experience can also be taken into account for applicants without a relevant first degree.

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Fees

Information on tuition fees is available on our Home and EU/International fees pages.

Student Destinations

Employment prospects are strong in this rapidly growing and demanding industry. There are a number of careers available to those trained in data science – students could go on to be data scientists, statistics officers, business analysts, predictive modellers or computer programmers, these will continue to grow as organisations are required to adapt to improving technologies.

Module Details

Stream One: MSc Data Science

  • Applied statistics for data science
  • Data mining and statistical forecasting
  • Project management and research methodology

Stream Two: MSc Data Science

  • Principles of computing
  • Machine learning and decision making
  • Big data engineering and applications

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