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MSc Data Analytics

Course Description

About the course

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.

Prepare for your career

Our courses give you experience of how real-world projects work. We consult with big employers to ensure that you develop the skills and the personal qualities they’re looking for.

You’ll learn about the issues that matter in global business and industry. Our graduates go into academic and industrial research, the software industry, banking and finance. They work for companies such as Logica, IBM, Hewlett Packard, PWC, Vodafone, the BBC and HSBC.

About us

Our challenge is to use computation to understand all kinds of systems: computer systems, living systems and cognitive systems. Our research areas include robotics, machine learning, speech and language processing, virtual reality, computational systems biology and software verification and testing. It’s work that makes a difference to people’s lives.

Network and hardware

We have our own high-performance network so you can access our advanced computing facilities. There are labs for teaching smaller groups, wi-fi coverage throughout the department, and you can connect your own laptop to the network. Mobile devices and tablets are available for you to borrow for project work.

We also use specialised equipment: an immersive virtual reality facility, robotics hardware and an acoustic booth for speech processing research.

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)

Teaching and assessment

We use lectures, tutorials and group work. Assessment is by formal examinations, coursework assignments and a dissertation.

Visit the MSc Data Analytics page on the University of Sheffield website for more details!

Entry Requirements

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

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