MASTER OF SCIENCE IN BUSINESS ANALYTICS (MSBA)
MASTER OF SCIENCE IN BUSINESS ANALYTICS (MSBA)
Today, one of the business world’s greatest challenges is The Big Data Phenomena. Companies have trillions of bytes of information about their customers, suppliers and operations.
But data alone does not offer value. What is invaluable are the insights we get from data. With this in mind, globally ranked NUS Business School and NUS School of Computing, together with IBM and the Economic Development Board (EDB) of Singapore, have created a jointly hosted Master of Science in Business Analytics (MSBA). This is to address an acute global talent shortage of trained Business Analysts.
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Graduates are trained to deliver actionable intelligence through robust analytics and quality industry projects, making them highly marketable post-graduation.
PROGRAMME OBJECTIVES
The Master of Science in Business Analytics (MSBA) aims to enable participants to understand and solve complex business analytics problems using appropriate analytics techniques and tools. Participants will be able to devise, refine and apply business analytics techniques and tools competently in solving analytical problems in different industries and sectors. Ultimately, this will lead to an appreciation of the current business analytics problems in the industry worldwide and foster confidence in contributing to problem resolution.
PROGRAMME STRUCTURE
The MSBA programme can be taken either as a 1-year intensive full-time programme or a 2-year part-time programme. The maximum candidature period is 2 years and 4 years respectively. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year capstone professional consulting project. In order to complete the MSBA, participants are expected to complete: • 5 essential modules • 3 distinctive modules from at least two of the verticals • A one-year capstone professional consulting project
CURRICULUM
Participants are required to complete five essential modules, select at least three modules from at least two vertical sectors and complete a one-year capstone professional consulting project module.
Essential Modules
1. 2. 3. 4. 5.
Statistics Deterministic Operations Research Analytics in Managerial Economics Decision Making Technologies Data Management and Warehousing
Modules in Vertical Sectors
Big-data analytics Techniques • Big-Data Analytics Technology • Cloud Computing • Text Processing on the Web Consumer Data analytics • Social and Digital Media Analytics • Hands-on with Business Analytics (Consumer)
The MSBA Capstone Professional Consulting Project
Participants will work with organisations throughout the world to identify important organisational issues, engage in data collection and analysis, and recommend insightful solutions.
ADMISSIONS
A bachelor’s degree with good honours classification in computing, engineering, science, mathematics, statistics, business or economics
Requirements
Fees
OR
A bachelor’s degree in computing, engineering, science, mathematics, statistics, business or economics, with 2 years of industry experience
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GRE or GMAT tests are not required for admission, but are encouraged for applicants holding university degrees from international institutions. Specifically, strong quantitative analysis ability (as evidenced by superior GRE or GMAT quantitative section scores) will be emphasised.
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TOEFL/IELTS/PTE for those participants whose first language or language of study was not English
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This MSBA is taught entirely in Singapore and candidates must make themselves present accordingly. The course is not offered to participants abroad.
The tuition for the MSBA programme is SGD40,000, excluding Goods and Services Tax (GST). An acceptance fee of SGD250 is payable upon admission into the programme. Tuition fees excludes the cost of recommended textbooks and readings. The cost of travel, accommodation and miscellaneous expenses are not included and are to be borne by the participant.
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Financial & Risk analytics • Quantitative Risk Management • Pricing Derivatives and Fixed Income • Hands-on with Business Analytics (Supply Chain & Finance)
THE SCHOOL
About NUS Business School
NUS, NUS Business School and NUS School of Computing are consistently ranked as leaders among its competitors in Asia, Singapore and globally. As an English language University in Asia, we are ranked among the top two in Asia. NUS Business School is a leading centre for leadership and management development in Asia-Pacific. Established in 1965, National University of Singapore (NUS) Business School is known for championing management thought leadership from an Asian perspective, enabling participants and corporate partners to leverage on the best global knowledge and deep Asian insights to drive business education and growth in Asia. In 2012, Forbes rated its 2-year MBA program as the best in Asia and in the top 4 outside the United States. The 2012 Financial Times MBA ranking placed NUS Business School 6th in the Asia-Pacific and 36th in the world and ranks its Executive MBA – a joint program with UCLA – in the world’s top 5. As an institution, the NUS Business School regularly features amongst the top 25 institutions for business education around the world.
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About School of Computing
National University of Singapore (NUS) School of Computing (SoC) is the most established computing school in Singapore and has produced a trail of distinguished alumni, which include chief executives and technology architects of multinationals, government agencies and flourishing start-ups. The School was ranked 1st in Engineering and Technology in Asia by Times Higher Education (THE) World University Ranking 2012, and 9th in the world for Computer Science and Information Systems by Quacquarelli Symonds (QS) World University Rankings 2012.
The Faculty
One of the key differentiators of the MSBA programme when compared with other programmes is the world-renowned faculty members and industry leaders that teach in the programme. Participants not only gain in-depth knowledge in business analytics, but also see that knowledge acquired is being applied in real world situations across different industries. Below are some of the key faculty members who will take participants through the programme. • Associate Professor Sumit Agarwal PhD, University of Wisconsin
• Associate Professor Rudy Setiono Ph.D., University of Wisconsin-Madison
• Associate Professor Stéphane Bressan Ph.D., University of Lille
• Professor Melvyn Sim PhD, Massachusetts Institute of Technology
• Assistant Professor Goh Khim Yong Ph.D., University of Chicago
• Professor Tan Kian-Lee Ph.D., National University of Singapore
• Associate Professor Jussi Keppo Dr.Tech, Helsinki University of Technology
• Associate Professor Teo Yong Meng Ph.D., University of Manchester
• Associate Professor Khoo Siau-Cheng Ph.D., Yale University
• Professor Teo Chung Piaw PhD, Massachusetts Institute of Technology
• Professor Andrew Lim PhD, Australian National University
• Assistant Professor Tuan Quang Phan Ph.D., Harvard University
• Professor David M. Reeb PhD, University of South Carolina
• Professor Sun Jie PhD, University of Washington
For more information, visit msba.nus.edu