Data Science and Business Analytics (Taught)

The growing availability of huge amounts of data in business and industry is generating a high demand for graduates able to handle and exploit big data. Using sophisticated analytics techniques, including social network visualization and sentiment analysis, and professional software packages, including R dplyr and ggplot2, you will gain the skills and knowledge to transform data into commercial value and boost your employability. 1 year full-time (+ optional placement).

• Equipping applicants from almost all undergraduate degrees with broad professional competence in one of the world economy’s most sought-after postgraduate subject areas.

• Offering an equal number of taught credits in the three areas of data modelling, computing and business, with a wide choice of available business modules.

• Providing a flexible individual project in one or more of the three taught areas supervised by world-leading subject experts.

• Establishing high proficiency in the use and application of state-of-the-art programming languages including R.

• Developing modern analytics expertise for obtaining business, scientific and social insights from Big Data sources and social networks such as Facebook and Twitter.

• Consult eBooks to support your learning and receive a free Apple iPad mini to stay-up-to date, wherever you are.

• Enjoy teaching from leading academics: for example, in the UK 2014 Research Excellence Framework 68 per cent of our mathematics and statistics research papers were classified as World Leading or Internationally Excellent.

Throughout the programme you will learn how to master sophisticated analytics techniques and professional software, including R, to handle and exploit big data, and to work as part of a project team. You will also develop practical and professional competence in data science and business analytics, and will be able to make strategic decisions in a broad range of business related practical situations.

Core modules:

• Masters Stage 1 Placement Preparation
• Computational Problem Solving and Computer Systems
• Big Data and Social Network Visualization
• Modelling and Analytics for Data Science
• MSc Project
• Software Development and Databases

Optional modules:

• International Finance
• Financial Statement Analysis
• Financial Management
• Branding and Marketing Communications
• Social Media Practice
• Relationship Marketing and CRM
• Global Supply Chain Management
• International Strategic Management
• Operations and Project Management

The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.

For up to date details, please refer to our website or contact the institution directly.

To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:

• Course does not award QTS