The Plymouth MSc Data Science and Business Analytics is a multi-disciplinary programme involving three subject areas: Computing, Business and Statistics. The design of the Masters programme in Data Science and Business Analytics includes 120 credits of core modules and 60 credits of dissertation.

Programme Aims:

  • To deliver a contemporary, multidisciplinary data science and business analytics curriculum that provides students with opportunities to apply acquired techniques critically to develop strategic solutions in an ever more data-dependent world, taking account of basic data protection and security issues;
  • To develop high theoretical and practical competence in the use of software for manipulating, visualizing and modelling structured and unstructured data, together with a broad awareness of computational tools used in analytics applications such as eHealth;
  • To provide an up-to-date tool set, including sentiment analysis, for extracting deep insights relevant to business, science or society from social media and other sources;
  • To cultivate generic skills in structured, methodological programming practice and specific knowledge of computer architectures and data representation mechanisms that allow computational solutions to real-world analytics problems to be critically identified and strategically produced;
  • To offer a choice of modules in finance, marketing or international business that provide cutting edge exposure to an advanced and broad range of business topics;
  • To develop an enhanced ability to communicate effectively critiqued complex technical and professional concepts, including some of their social and ethical aspects, to specialized and non-specialized audiences using modern presentational tools.
Programme Structure
  • Software Development and Databases
  • Non-Relational Databases in a Big Data Environment
  • Big Data and Social Network Visualization
  • Modelling and Analytics for Data Science
  • Branding and Marketing Communications
  • International Strategic Management
  • MSc Project

The average lecturer/student ratio is 1 : 100 (lecture)
The average lecturer/student ratio is 1 : 40 (tutorial)

Admission Requirements

Applicants must be of age 21 and above and possess one of the following entrance requirements:

Applicants should hold first or second class honors degree or equivalent in any discipline*  
Mature candidates 30 years and above with 8 years of working experience.

* Applicants need not have any prior knowledge of data analysis or statistics and/or work experience

English Language Requirements

Possess a minimum C6 grade in English at GCE ‘O’ Level
IELTS score of 6.5 (with no element below 5.5)
Pearson Academic score of 62 (or above) with a minimum score in each component of Reading, Writing, Listening and Speaking of 51
MDIS Professional Certificate in English
Pass the MDIS English Placement test  

Dates & Fees

For more information on Application Dates, click here.

For more information on Fee, Scholarships and Finance matters, click here.

Contact Details

MDIS Campus
501 Stirling Road
Singapore 148951

Tel: +65 6247 9111