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Course content

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.

Key features

-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.

Course details

Year 1
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.

In semester two you will select optional modules to suit your interests and career aspirations and have the opportunity to boost your employability with an optional industrial placement.

An optional placement year is available after Semester 2.

Core modules
-ISAD515 Computational Problem Solving and Computer Systems
-BPIE500 Masters Stage 1 Placement Preparation
-MATH500 Big Data and Social Network Visualization
-PROJ516 MSc Project
-SOFT562 Software Development and Databases
-MATH501 Modelling and Analytics for Data Science

Optional modules
-STO702 Global Supply Chain Management
-ACF717 Econometrics and Financial Modelling
-MKT704 Branding and Marketing Communications
-STO703 International Strategic Management
-MKT714 Social Media Practice
-MKT715 Relationship Marketing and CRM
-STO700B International Business Environment
-ACF719 Financial Management

Final year
Optional modules
-BPIE503 Mathematics Masters Industrial Placement

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

Visit the Data Science and Business Analytics - MSc page on the Plymouth University website for more details!

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