Master of Technology in Enterprise Business Analytics

at National University of Singapore

MTech EBAC candidates must successfully complete the following course components to be awarded the degree:

• Fundamental - Complete 2 Graduate Certificates
• Specialist - Complete 2 of 4 Graduate Certificates

Fundamental Analytics Areas

Analytics Project Management and Delivery

Students will be equipped with practice-oriented data analytics skills and knowledge in managing analytics project. Participants will be equipped with essential skillsets to understand analytics processes and best practices, to manage data and resources, to understand structure of analytics solution, to perform data visualisation, to present insights via compelling data storytelling, and to ensure successful implementation of analytics project.

Courses:

• Statistics for Business II
• Data Storytelling
• Data Management for Analytics
• Managing Business Analytics Projects

Core Analytics Techniques

Students will learn the foundation skills to understand, design and solve analytics problems in the industry involving structured and unstructured data. It is a course which prepares the participants to embark upon the journey to become a data scientist in due course.

Courses:

• Data Analytics Process and Best Practices II
• Statistics Bootcamp II
• Predictive Analytics – Insights of Trends and Irregularities
• Text Analytics

Applicants must possess the following pre-requisites:

• Bachelor's degree preferably in Mathematics, Statistics, Econometrics, Management Science, Operational Research, Science or Engineering and a grade point average of at least B
• Proficiency in the English Language (written and spoken)*
• Have passed an entrance test
  • NUS-ISS may, at its discretion, accept GRE general test in lieu of NUS-ISS entrance test in genuine cases e.g. a candidate lives in a country where NUS-ISS does not administer entrance tests or candidate had valid reasons that prevented him/her from attending the NUS-ISS entrance test when it was administered
• Preferably two years relevant working experience
  • IT, engineering and scientific professionals would make ideal candidates
  • Candidates with highly relevant degrees in Mathematics, Statistics, Econometrics, Management Science, Operational Research or similar, with consistently good academic records may be granted a work experience waiver
• Have received a favourable assessment at admissions interview conducted by NUS-ISS

*English Language Proficiency

• 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

• Institution code of NUS-ISS for TOEFL is 2432
• TOEFL and IELTS are only valid for five years after the test and the validity should not expire before the beginning of the application period for the coursework programme.
• NUS-ISS accepts TOEFL iBT Special Home Edition test scores.

Fees for August 2023 admissions
 

Note:

• The current ISS Subsidy is a subsidy of 20% of the component course fees. The ISS Subsidy is subjected to change without prior notice. There is no subsidy for the Practice Module fees or the Capstone fees.
• The exact tuition fees will be calculated based on the student’s selection of the Graduate Certificates
• Miscellaneous fees of S$250.38 per semester apply (For Full-Time Students).

There is opportunity in Singapore in almost all industries which are rapidly working towards digital transformation and data analytics sits in the heart of it. What you learn in terms of analytics skills is not as important as what you do with it. It is the attitude and the ability to learn from mistakes, and to contribute back to the company that you work for that is likely to make more of a difference than specific analytics skills.

There are two main paths for advancement in analytics - either technical or managerial. Technical means you continue to deepen your technical area in a domain (Finance, Government, Manufacturing, Telecom, Transportation, Technology companies etc.) and you become an expert data scientist in those areas. The other is managerial, where you can focus on designing solutions for clients (internal or external) to achieve their organization goals in the areas of profit maximization, automation or digitization.

Our internship companies often tell us that if we can give them good students as interns, it is very likely they will get a job offer at the end of the internship.

As an MTech EBAC graduate, you will be prepared for specialist, expert and leadership roles in enterprise business analytics to create business value through strategic use of data, visualisation methods, modelling techniques and frontline tools.

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
• Marketing Analyst
• Big Data Analyst

MTech alumni are pursuing their careers at these global organisations:

• Accenture
• Creative Technology
• DBS Bank
• Defence Science & Technology Agency
• Deutsche Bank AG
• Fuji Xerox Asia Pacific
• HP Singapore
• IBM Singapore
• Infocomm Development Authority of Singapore
• Inland Revenue Authority of Singapore
• Jurong Port
• Microsoft
• Murex
• NCS
• NEC Asia Pacific
• NTUC
• OCBC Bank
• Revolution Analytics
• Singapore Telecommunications
• Standard Chartered Bank
• Starhub
• ST Electronics
• Tata Consultancy Services

The NUS-ISS Career Services Office helps students to match jobs based on their skills and experience. There will be bi-yearly Career Fairs held for students and graduates to network with employers. However, successful employment will depend on the employers.

The average starting salary of an analytics professional depends on the degree and your previous working experience. For fresh graduates with no work experience, the starting salary ranges from S$4,000 to S$4,500. Graduates with more than 3 years of work experience can expect a starting pay of S$6,000 and above.

The most important skill is to get the job done and be persistent. You need to be broad-based and the technology does not matter.