Overview
Our Enterprise Business Analytics program from National University of Singapore - Institute of Systems Science is a gateway to specialist, expert and leadership positions in data science.
MTech EBAC stands out by offering holistic training in key aspects of data science and AI, from exploratory data analysis and predictive modelling to natural language processing, recommender systems and big data engineering. Professionals will be equipped with the essential technical expertise to harness data, machine learning and enabling technologies to develop and deploy effective data-driven solutions. These solutions are designed not only to enhance decision-making processes but also to optimize operations, drive profitability and elevate overall user experiences within enterprises.
Learning outcomes:
- Help enterprises move towards a stronger emphasis on computer tools and statistical and machine learning techniques to develop high-performance analytics capability
- Translate massive and complex unstructured data (e.g. text) 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
Career Pathways
Find your fit with new opened doors. 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 organisation goals in the areas of profit maximisation, automation or digitisation.
Post-Study Stay-Back Option Available
As a graduate of our Master's program, you'll be eligible for the Long-Term Visit Pass (LTVP) scheme, allowing you to stay in Singapore for up to 1 year Use your post-study stay in Singapore to launch your career with top multinational companies, network with industry leaders and innovators, and explore entrepreneurship opportunities.Work While You Study
Maximize your Singapore experience! As an international student, you're eligible to work part-time for up to 16 hours a week. Gain valuable work experience, build your network, and offset living expenses. Our Master's programs equip you with cutting-edge knowledge, and Singapore's dynamic landscape provides the perfect launchpad. Take advantage of this exclusive post-study stay-back option and transform your career aspirations into reality.Programme Structure
Courses include:
- Data Storytelling
- Data Management for Analytics
- Managing Business Analytics Projects
- Data Analytics Process and Best Practices
- Statistics Bootcamp
- Predictive Analytics – Insights of Trends and Irregularities
- Text Analytics
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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- Aug (Full-Time)
Language
Delivered
Campus Location
- Singapore, Singapore
Disciplines
Business Administration Business Intelligence Data Analytics View 12 other Masters in Data Analytics in SingaporeWhat students do after studying
Academic requirements
Either GRE or NUS Entrance Test conducted in India. For Entrance Test details in India, please contact the Graduate Recruitment Office: isslearn@nus.edu.sg
A minimum GRE score of 320 (verbal & quantitative reasoning) and 3.5 (analytical) is recommended, within 5 years validity. (GRE institution code: 0677)
English requirements
Other requirements
General requirements
- Bachelor's degree preferably in Mathematics, Statistics, Econometrics, Management Science, Operational Research, Science or Engineering and a grade point average of at least B
- Demonstrate proficiency in the English Language (written and spoken)*
- An acceptable GRE score (overseas applicants) or pass NUS-ISS Entrance Test
- Have received a favourable assessment at admissions interview conducted by NUS-ISS
- Preferably two years of relevant working experience
- The NUS-ISS Entrance Test or GRE and interview requirements will be waived for applicants with relevant Bachelor's degrees from NUS, NTU, SMU and SUTD with Second Upper or above Honours.
- NUS-ISS Graduate Diploma in Systems Analysis alumni who wishes to apply to NUS-ISS Master of Technology programmes may be waived of Entrance Test/GRE and interview requirement if they meet the GPA's requirements*
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at National University of Singapore, NUS-ISS and/or in Singapore, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents50060 SGD / year≈ 50060 SGD / year -
Domestic Applies to you
Applies to youCitizens or residents50060 SGD / year≈ 50060 SGD / year
Additional Details
- S$50,060 to S$54,500
Living costs
Singapore
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Master of Technology in Enterprise Business Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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