stock market

This one-year conversion MSc is designed for graduates from a wide range of disciplines and experience. It gives you skills in data analytics, computing and business. Using sophisticated analytics techniques, including social network visualisation and sentiment analysis, and professional software, including R tidyverse, Python, C# and SQL/NoSQL, you gain the skills and knowledge to transform data into commercial value and boost your employability

Key features

  • Equips applicants from all undergraduate degrees with broad professional competence in one of the world economy‚Äôs most sought-after postgraduate subject areas.
  • Offers an equal number of taught credits in the three areas of analytics, computer science and business, with a wide choice of available business modules.
  • Provides a flexible individual project in one or more of the three taught areas supervised by world-leading subject experts.
  • Establishes high proficiency in the use and application of state-of-the-art programming languages including R, Python, C#, SQL and NoSQL.
  • Develops modern analytics expertise for obtaining business, scientific and social insights from big data sources and social media such as Twitter.
  • Enjoy research-led teaching from leading academics with world-renowned expertise in data science, data analytics, statistics, computer science and business.

Course details

During your MSc year, you take four core modules, two optional modules depending upon your interests, and complete a masters-level project over the summer. Student projects can be on data analytics, computing or business and can be a multidisciplinary mix of these areas. Throughout the programme you learn how to master sophisticated analytics techniques and professional software, including R tidyverse, Python, C# and QL/NoSQL databases, to handle and exploit big data, and to work as part of a project team. You also develop practical and professional competence in data science and business analytics, and learn to make strategic decisions in a broad range of business related practical situations.

In semester two you select optional modules to suit your interests and career aspirations.


  • MAL7008 Software Development and Databases
  • MAL7009 Non-Relational Databases in a Big Data Environment
  • MAL7010 Modelling and Analytics for Data Science
  • MAL7011 Big Data and Social Network Visualization
  • MAL7012 Social Media Theory
  • MAL7013 International Strategic Management
  • MAL7014 MSc Project

Entry requirements

A 2:2 honours degree, or equivalent, in any discipline.

We welcome applicants with international qualifications. To view other accepted qualifications please refer to our tariff glossary.

If English is not your mother tongue 6.5 IELTS with a minimum of 5.5 in any element in a secure English language test.

The University of Plymouth offers pre-sessional English language courses if you do not have this.

Prior knowledge of data analysis or statistics and/or work experience are not necessary.

How to apply

Applications should be made through our partner institution:

Peninsula College Malaysia