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The University of Sheffield

Data Analytics

The MSc in Data Analytics is designed for students with a numerate background (for example first degree in Mathematics, Engineering, Physics, Chemistry and other physical sciences) as well as graduates already working in industry.

The programme focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. The types of data sets encountered include large data sets as well as structured and unstructured data. The programme makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.

Entry requirements

Minimum 2:1 honours degree in a numerate discipline (mathematics, economics, accounting, engineering, physics, chemistry) and A-level mathematics. English language: IELTS 6.5 (with 6.0 in each component) or University equivalent.

Course modules

Core modules: Scalable Machine Learning; Text Processing; Machine Learning & Adaptive Intelligence; Natural Language Processing; Industrial Team Project; Individual Data Analytics Dissertation; Information Governance and Ethics; Mathematical Data Science

Examples of optional modules: Computer Security and Forensics; Parallel Computing with Graphical Processing Units (GPUs)

Qualifications

Qualification Study mode Start month Fee Fee locale Course duration
MSc Full-time September 2018 21,450 (Year 1) International 1 1 Years
MSc Full-time September 2018 11,650 (Year 1) Home/EU 1 1 Years

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