MScData Science

Study location	United Kingdom, Sheffield
Type	Master courses, full-time
Nominal duration	1 year
Study language	English
Awards	MSc

Tuition fee	To be confirmed

Entry qualification	Undergraduate diploma (or higher) 2:1 in any subject The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL or other equivalent IELTS: 6.5 with a minimum of 6.0 in each component TOEFL (IBT): Overall score of 80 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking CAE: Overall score of 176 or above, with at least 162 in each component

Other requirements	At least 2 reference(s) must be provided. These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish. CV

More information	Expenses, accommodation, working etc. sheffield.ac.uk/..sscience/is/data-science

Overview

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.

Programme structure

Core modules

Introduction to Data Science
Data Analysis
Information Retrieval
Data Mining and Visualisation
Database Design
Research Methods and Dissertation Preparation

Optional modules

Choose three of the following:
Information Systems Modelling
Information Systems in Organisations
Business Intelligence
Research Data Management
Information Governance
Researching Social Media

Teaching

Lectures, including guest lectures from professional practitioners
Seminars
Tutorials
Small-group work
Online discussion
Computer laboratory sessions

Assessment

Essays
Report writing
Oral presentations
Group projects
Dissertation