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MSc Data Science

Course Description

About the course

This CILIP-accredited course produces highly employable graduates for a rapidly expanding global job market. It was developed in collaboration with external organisations across a range of sectors to make sure you gain knowledge and learn skills that employers are looking for.

You’ll learn the theory and the skills you need to support data-driven decision-making in organisations. The course covers three core areas: data management, data analysis and business insight. You’ll get hands-on experience with data management and analysis. Industry experts contribute to the course, sharing their experience and talking you through examples of data science in action.

Our graduates are not just technically proficient. They’re also keenly aware of broader issues such as data presentation, privacy and ethics. That extra edge makes them even more attractive to employers.

Your career

Effective use of information improves the world and makes a positive difference to our lives. It is also central to economic development. The rapid pace of technological change and the globalisation of markets means that organisations in all sectors must realise the value of information systems.
The world needs graduates who are information literate.

Our graduates work for all kinds of organisations, in the public and private sectors. Employers include:

Adidas; BBC; British Red Cross; Cambridge University; The Department of Health; Ernst and Young; GCHQ; Goldman Sachs; Hewlett-Packard CDS; House of Commons Library; Imperial College London; IBM; Kings College London; NHS; Pepsico; Pricewaterhouse Coopers; Stanford University

If you’re already an experienced professional, you can develop new skills and advance your career with one of our Professional Enhancement Programmes (page xxx).

Your subject

Our courses are research-led, which means you’ll learn about the latest concepts from academics who work with organisations to drive developments in this field. Alongside the theory and technical skills, you’ll develop some valuable attributes including effective communication, application of research methods and creative problem solving.

How we teach

All our courses (except our distance learning courses) include lectures, seminars, tutorials, practical laboratory classes, group work, online discussion, case studies and lectures by visiting speakers. Our MA Librarianship course also includes visits to library and information service organisations. You’ll be assessed using a wide variety of methods including essays, reports, small projects, in-class tests, presentations, posters, group work and a research-based dissertation.

Learning Environment

Our dedicated departmental teaching suite contains two networked laboratories with 60 computers and a 30-seat lecture room. Our state of the art iLab includes a Usability Lab and Digital Media Lab designed to collect research data into human–computer interaction.

The iSpace is an open plan, social learning area for students. It has display facilities, open-access PCs and bookable partitioned group work areas. There is Wi-Fi coverage throughout the department, and you can connect your own laptop to our network. Mobile devices and tables are available for you to borrow for project work.

We’re right in the middle of the campus and close to the Information Commons and the new Diamond building so you’ll be able to access the University’s many resources.

Core modules

Introduction to Data Science; Data Mining and Visualisation; Data Analysis; Database Design; Research Methods and Dissertation Preparation; Dissertation.

Examples of optional modules

Information Systems in Organisations; Business Intelligence; Information Governance and Ethics; Researching Social Media; Information Retrieval: Search Engines and Digital Libraries; Digital Advocacy; Data and Society.

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

Entry Requirements

You’ll need at least a 2:1 in any subject. English language requirements: overall IELTS grade of 6.5, with a minimum of 6.0 in each component.

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Recipient: University of Sheffield
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