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Full time & Part time September, February MSc, PGDip, PGCert 12-18 months full-time / 2 years part-time
Computer Science (8) Mathematics (25)

FindAMasters summary

Are you ready to dive into the exciting world of data science? The MSc Data Science programme is designed to equip you with the skills and expertise needed to excel in this rapidly growing field. Whether you have a background in STEM or business, this programme is suitable for graduates with a minimum 2:2 Honours degree or equivalent. Don't have a relevant first degree? No problem! Relevant industry experience can also be taken into account. Throughout the programme, you will learn essential analytical skills and gain hands-on experience with industry software. Plus, you'll have the opportunity to work on real-world projects with top employers. Join us and become a sought-after data scientist, statistician, or computer programmer.

About the course

Data science is rapidly emerging in organisations and the need for fully trained data scientists, analysts and programmers are 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.

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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.

The course welcomes international applicants and requires an English level of IELTS 6.0 with a minimum of 5.5 in each component or equivalent.

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Where is University of South Wales

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All Available Videos:
Welcome to Wales Welcome to Wales 11/03/2019 11:47:40
Welcome to Wales
Data Science at the University of South Wales Data Science at the University of South Wales 05/02/2024 11:49:42
Data Science at the University of South Wales
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