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Management Development Institute of Singapore

Singapore , Singapore ,Singapore

Master of Science Data Science and Business Analytics

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.


  • March
  • July

Application Processing Time in Days: 28

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

Full-Time Positions (Non-Academic & Academic)

Academic Positions (Part-Time)
Associate Lecturer(s) will be appointed on part-time basis to cater to short-term teaching requirements. After the recruitment process has concluded, the official appointment will take place three (3) to six (6) months prior to the commencement of classes or it will be subject to the availability of teaching classes.

Applicants must possess a recognised University degree. Any other relevant professional qualifications, industry experience and pedagogical training would be advantageous.

PSW Opportunity

PSW is 1yr

Admission Requirement / Eligibility Criteria

Entry Requirements

All applicants must be of age 21 and above and possess one of the following:

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

If English is not the first language, applicants are required to meet one of the following 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