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About this course

What will I learn?

The Master of Technology in Enterprise Business Analytics programme (MTech EBAC) is specifically designed to meet industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. It is best suited for professionals seeking to practise at the entry level and also for upgrading professionals with a suitable professional background (e.g. IT professionals) but lack the necessary academic fundamentals to move into Specialist or Expert positions in Business Analytics.

This programme is jointly offered by NUS-ISS, the Department of Industrial and Systems Engineering and the Division of Engineering & Technology Management of the Faculty of Engineering.

The MTech EBAC programme prepares students for specialist, expert and leadership roles in enterprise business analytics to create business value through strategic use of data, analytics, models and frontline tools.

By contributing to more effective utilisation and management of data analytics, you can help your enterprise to focus on big decisions so that they gain better predictive ability that can translate to higher profits. Helping enterprises to build better and more effective models will lead to improved outcomes such as more attractive pricing, higher levels of customer care, better market segmentation and highly-efficient inventory and supply chain management.

Learning outcomes:

  • Help enterprises move towards a stronger emphasis on computer tools and statistical techniques to develop high-performance analytics capability
  • Translate massive and complex unstructured data into insights
  • Produce predictive models to solve a broad range of problems across various business functions and units
  • Contribute to the development of more effective business strategies and plans for sustainable growth and competitive advantage

Recognition:

  • Top student is awarded the IBM Medal and Book Prize
  • Best Project Prize

Career Prospects

  • Business Analytics Manager
  • Data Scientist and Architect
  • Business Analyst
  • Optimisation Strategy Consultant
  • Business Intelligence and Performance Management Consultant
  • Enterprise Intelligence Manager
  • Market Intelligence Analyst
  • CRM Data Analyst
  • Risk Analyst
  • Big Data Analyst

Which department am I in?

Institute of Systems Science

Study options

Full Time (1.5 years (3 semesters))

Tuition fees
SG $54,398.8 for the entire course
Start date

Expected January 2023

Venue

Institute of Systems Science

29 Heng Mui Keng Terrace,

119620, Singapore

Entry requirements

For students from United States

Applicants require a Bachelor’s degree with honours or equivalent, in a relevant discipline; or a Bachelor’s degree with a relevant Graduate Diploma/Graduate Certificate with a minimum CAP of 3.00. English Language Requirements: TOEFL score is required: 85 for the internet-based test (with a minimum score of 22 for the writing section); or 580 for the paper-based test; or 237 for the computer-based test; an IELTS score of 6.0.

For international students

Applicants must possess the following pre-requisites:

  • Bachelor's degree preferably in Science or Engineering and a grade point average of at least B

Applicants who graduated from universities where English is not the medium of instruction should submit TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Testing System) score as evidence of their proficiency in the English language.

TOEFL : Paper-based test (580); Computer-based test (237); Internet-based test (85)

IELTS : Result of 6.0

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