18 November 2020
2 Months, Online
4-6 hours per week
USD 1,400
Flexible payment available
Special group enrolment pricing
With big data technologies becoming more affordable and accessible, more and more companies are innovating how business is done. And as they innovate, more data piles up. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market.
In order to build and implement effective business strategies, you must first identify the analytics-related barriers in your organisation and industry. For organisational goals to be met, analytical maturity must be improved through the continual assessment of data.
From predictive models used for business forecasting to the ins and outs of causal analytics to the privacy and security of datasets, participants will be exposed to big data applications, artificial intelligence (AI) technologies, and real-world case studies in this two-month business analytics programme.
Professionals, who are looking to improve functional performance through analytics or build business analytics capabilities to transform their organisation, will benefit most from this business analytics certification programme.
Understanding big data is an invaluable asset that can serve professionals in a variety of roles, including but not limited to:
The programme requires no formal education in or completion of previous data analytics courses; in other words, you don’t need advanced technical knowledge to benefit from the NUS Business Analytics programme.
DOWNLOAD BROCHUREHere are some specific challenges you will better be able to address after earning your business and data analytics certificate:
*This programme will be delivered via recorded video lectures by faculty.
Participants will apply the learnings of the programme with the help of the Business Analytics Playbook. Here is an overview of what you can expect:
The Playbook and application assignments are designed to seamlessly guide you through each module. Any questions you may have as you work through the Playbook can be addressed during the weekly Live Session's assignment debrief.
Upon successful completion of the Programme, participants will be awarded a verified digital certificate by NUS Business School.
Get CertifiedFlexible payment options available. Click here to know more.
Professor Keppo teaches risk management and analytics courses, and directs analytics executive education programmes at NUS Business School. He is also Research Director of the Institute of Operations Research and Analytics at NUS. Previously, he taught at the University of Michigan.
He has several publications in the top-tier journals such as Journal of Economic Theory, Review of Economic Studies, Management Science, Operations Research, and Journal of Business on topics such as investment analysis, banking regulation, learning, and strategic incentives. His research has been featured also in numerous business and popular publications, including The Wall Street Journal and Fortune.
Professor Keppo’s research has been supported by several Asian, European, and US agencies such as the National Science Foundation. He serves on the editorial boards of Management Science, Mathematics of Operations Research, Journal of Risk, Production and Operations Management, and Journal of Energy Markets. He has consulted several start-ups, Fortune 100 companies, and financial institutions.
Dr Bhattacharya is an Adjunct Assistant Professor with the Department of Analytics and Operations (NUS Business School). He also serves as a Research Scientist and Principal Investigator with the Social and Cognitive Computing Department at the Institute of High Performance Computing, A*STAR Singapore, where he works on social networks and behavioral analytics.
Dr Bhattacharya holds a PhD in Information Systems from the Department of Information Systems and Analytics, National University of Singapore, where he studied computational social science with a special focus on predictive and inferential methods in large social networks.
His current research agenda aims at understanding the role of big data in emerging social and business applications like digital marketing, micro-finance, healthcare, and urban systems. Dr Bhattacharya actively collaborates and consults with leading industry partners from around the world, and regularly presents his research in major computer science, information systems, and marketing conferences worldwide.