MASTER OF SCIENCE IN BUSINESS ANALYTICS (MSBA)

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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.

Graduates are trained to deliver actionable intelligence through robust analytics and quality industry projects, making them highly marketable post-graduation.

PROGRAMME OBJECTIVES

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

PROGRAMME STRUCTURE

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.

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A bachelor’s degree with good honours classification in computing, engineering, science, mathematics, statistics, business or economics

A bachelor’s degree in computing, engineering, science, mathematics, statistics, business or economics, with 2 years of industry experience

1. Statistics2. Deterministic Operations Research 3. Analytics in Managerial Economics4. Decision Making Technologies 5. Data Management and Warehousing

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.

CURRICULUM

Essential Modules

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)

Financial & Risk analytics • Quantitative Risk Management • Pricing Derivatives and Fixed Income• Hands-on with Business Analytics (Supply Chain & Finance)

Modules in Vertical Sectors

Participants will work with organisations throughout the world to identify important organisational issues, engage in data collection and analysis, and recommend insightful solutions.

The MSBA Capstone Professional Consulting Project

The tuition for the MSBA programme is SGD40,000, excluding Goods and Services Tax (GST).

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.

Fees

ADMISSIONSRequirements OR

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.

TOEFL/IELTS/PTE for those participants whose first language or language of study was not English

This MSBA is taught entirely in Singapore and candidates must make themselves present accordingly. The course is not offered to participants abroad.

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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.

For more information, visit msba.nus.edu

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.

THE SCHOOL

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About NUS Business School

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.

About School of Computing

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.

The Faculty

• Associate Professor Sumit Agarwal PhD, University of Wisconsin

• Associate Professor Stéphane Bressan Ph.D., University of Lille

• Assistant Professor Goh Khim Yong Ph.D., University of Chicago

• Associate Professor Jussi KeppoDr.Tech, Helsinki University of Technology

• Associate Professor Khoo Siau-Cheng Ph.D., Yale University • Professor Andrew Lim PhD, Australian National University

• Professor David M. Reeb PhD, University of South Carolina

• Associate Professor Rudy Setiono Ph.D., University of Wisconsin-Madison • Professor Melvyn Sim PhD, Massachusetts Institute of Technology • Professor Tan Kian-Lee Ph.D., National University of Singapore • Associate Professor Teo Yong Meng Ph.D., University of Manchester • Professor Teo Chung Piaw PhD, Massachusetts Institute of Technology • Assistant Professor Tuan Quang Phan Ph.D., Harvard University • Professor Sun Jie PhD, University of Washington