Life as a Business Analytics student1 ba

Today's businesses run on data. From web analytics and accounting to market research and demographics, our information-centric world generates countless terabytes of data year after year.

Data analysts play the increasingly important role of making sense of all that data.

As a Business Analytics student, you will gain a solid foundation in the statistical and analytical methods that make up the backbone of data science. You'll learn to work with spreadsheets, aggregate data, evaluate statistical significance, and determine statistical trends.

With a background in Business Analytics, you can find a niche in almost any industry. Data analysts can be found everywhere from IT consultancies to web marketing agencies, inside government bureaus and at leading startups.

An NUS education provides a strong technical foundation across all areas of computing, meaning that your Business Analytics training will be bolstered by strong general computer skills. Accordingly, a Business Analytics degree from NUS will provide you with the skills and expertise needed to build a career in today's fastest-growing and most exciting profession.

Crafting your career through Specialisation

Students can also opt for one of the two specialisations --- Financial Analytics and Marketing Analytics.

Financial Analytics specialisation equips students with key competencies, among others, in the following areas (non-exhaustive): 

  • Effective use of financial tools and systems for financial data modelling and metrics

  • Capable of perform deep dive analytics for budgetary control, portfolio, fraud detection

  • Understand statistical modeling and methods for quantitative trading

  • Able to simulate and automate trading

  • Use of analytical tools for investments with risk-return trade-off

Students will potentially build their careers in companies with key businesses in: Investment, Banking, Finance, Trading, Mergers and acquisitions, and Fund management.


Marketing Analytics specialisation equips students equips students with key competencies, among others, in the following areas (non-exhaustive): 

  • Effective use of tools and technologies for analysing marketing data relating to 4Ps (pricing, promotion, product, place) and 3Cs (customer, company, competitor)

  • Able to use technologies to model marketing data, which include univariate spatial data and spatio-temporal data

  • Effective use of digital tools for strategic marketing campaigns and promotions

  • Smart use of analytics tools to draw insights on customer profiles and purchase patte

Students will potentially build their careers in companies with key businesses in: Marketing, Customer relationship, Market research, Investment, and  Product development.

Widen your horizon through a Double Major or Minor programme

Students can also apply to do a Double Major (e.g., in economics) or Minor (e.g., in Economics, Financial Mathematics, Information Security, Real Estate or Statistics). For further information, please refer to:

Infuse your Learning with Extended Internship

Students can also apply to participate in the pioneering scheme on extended internship - NUS Co-operative Education Programme. Under this programme, students will interleave work and study. Approximately, 64 weeks will be spent on internship.

[*subject to meeting requirements]



Sampler of Modules

BT1101 Introduction to Business Analytics

Apply basic business analytics tools in a spreadsheet environment, and learn to communicate with analytics professionals to effectively use and interpret analytic models and results.


BT2101 Decision Making Methods and Tools

Understand the conceptual foundations of decision making processes, multi-criteria decision analysis, expert systems, neural networks, genetic algorithms, and support vector machines.


BT3102 Computational Methods for Business Analytics

Learn optimization methods, numerical analysis, simulations, monte-carlo methods, graph and flow methods, and computational complexity issues to address business analytics related problems.


BT4211 Data-Driven Marketing

Study marketing metrics, data management, market response and diffusion models, market segmentation models, and digital media marketing analytics.


BT4221 Big Data Techniques and Technologies

Examine big data infrastructure, analytics scalability and processes, Hadoop, HBase, Cassandra, MapReduce, Dynamo, R, in-database analytics, and mining of data streams.


BT4222 Mining Web Data for Business Insights

Use text mining methodologies, web data mining for marketing, sales and finance applications, social web data mining from Facebook and Twitter, and web analytics involving clickstream and site traffic data.


IS4241 Social Media Network Analysis

Study the endless insights available from social network analysis methods and tools, clustering and association techniques and business cases for social network platforms.


IS4250 Healthcare IT and Analytics

Learn the principles and techniques of processing and analysing healthcare data, as well as interpreting and reporting of results.


What You Could Be

bullet arrow  Web Analyst at AC Nielsen
bullet arrow  IT Business Analyst at Citibank Singapore
bullet arrow  Monetization Analyst at Facebook
bullet arrow  Data Mining Specialist at Symantec
bullet arrow  Market Research Analyst at Singtel
bullet arrow  Business Analyst at Deloitte Analytics
bullet arrow  Data Scientist at Singapore Press Holdings
bullet arrow  Healthcare Analyst at Khoo Teck Puat Hospital, Alexandra Health System