Executive Education Programmes designed to build capabilities in infocomm and digital business.
Course Planner 2019
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We offer five practice-based graduate programmes focusing on information technology (IT) and data science.
Your alternative pathway to continuing education without disrupting your career.
Clusters of expertise focusing on building leadership, best practice, and capability development in areas of Digital Government and Smart Health.
Meet the NUS-ISS Team and learn about our story and achievements.
The NUS Master of Technology in Enterprise Business Analytics programme (MTech EBAC) is specifically designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. It is best suited for professionals seeking to focus on the following - methodical data exploration and visualisation, diagnostic analytics, predictive modelling using statistical and machine learning techniques, text analytics, recommender systems, and big data engineering, etc.
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 management and finally profit maximization.
MTech EBAC candidates must successfully complete the following course components to be awarded the degree:
Student projects for MTech EBAC students will include intense full time engagement of 3 months with companies for full time students. For part-time students the internship engagement will be for 6-12 months. Students are allowed to conduct their project as a team-based internship if desired. The expected commitment for the project is 30 man-days per team member.
BA5001 : Management of Business Analytics Project (compulsory)
BA5002 : Business Analytics Practice (compulsory)
- Continuous assessments
- Open book written exams
BA5003 : Customer Analytics
BA5006 : Big Data Engineering and Web Analytics
Team-based Internship or Off-site Project (Nov – May)
Hands-on project with external organisation
- Project, presentation & report (100%)
- Continuous assessments (30 – 50%)
- Open book written exams (50 – 70%)
BA5005 : Specialized Predictive Modeling and Forecasting
BA5004 Practical Language Processing
Team-based Internship or Off-site Project
Hands-on project with external organisation
Students are evaluated through a combination of course work, project work and examinations. All students are required to complete a three-hour examination for each fundamental and specialist module taken.
Miscellaneous fees are typically levied on items that are either not covered or partially covered by tuition fee and grant/subsidy. All students, whether registered on a full-time or part-time basis, are charged the mandatory miscellaneous fees. These are due at the same time as the tuition fees. These fees help defray the costs of student activity, health services and insurance, campus shuttle service and other services.
Any queries about fees and payment, please contact us at email@example.com.
Applicants must possess the following pre-requisites:
*English Language Proficiency
Paper-based test (580)
Computer-based test (237)
Internet-based test (85)
Result of 6.0
All applicants are required to submit an online application for our graduate coursework programme (through-train).
Step 1: You can refer to our detailed step-by-step guide on how to complete the online application.
Step 2: It will take you about 30 minutes or more to complete your application. You will need the softcopies of the supporting documents for your online application. Click here for the supporting documents to be uploaded and additional information required.
Step 3: You can proceed to apply online. Remember to upload all the required supporting documents under the “Documents Upload” section before you do the online submission. You can refer to our FAQ.
Step 4: Please ensure you submit your online application(s) and make online payment for the application fee (non-refundable) of S$50.00 per application (inclusive of prevailing GST).
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.
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.
Building up a portfolio for work and life.
Get a headstart with actual work experience under your belt.
Receive job placement opportunities with partner organisations.
Learn from our teaching staff with more than 20 years of industry experience.