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.
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.
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.
MSc Data Analytics
page on the University of Sheffield website for more details!
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Recipient: University of Sheffield
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