Introduction

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*  
OR
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
OR
IELTS score of 6.5 (with no element below 5.5)
OR 
Pearson Academic score of 62 (or above) with a minimum score in each component of Reading, Writing, Listening and Speaking of 51
OR
MDIS Professional Certificate in English
OR
Pass the MDIS English Placement test  
OR
Equivalent

Dates & Fees

Dates
For more information on Application Dates, click here.

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

Contact Details

MDIS Campus
501 Stirling Road
Singapore 148951

Tel: +65 6247 9111
Email: etc@mdis.edu.sg