Harness the power of data science to uncover actionable insights and transform your organisation’s decision-making
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26 June 2023
3 months, online
4-6 hours per week
US$1,800 or get US$270 off with a referral
Our participants tell us that taking this programme together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Data Science & Analytics for Strategic Decisions starting on 26 June 2023 .
We’ve sent you an email with enrolment next steps. If you’re ready to enrol now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.
This programme features 3 months of free Premium Access to Emeritus Insights—a mobile app with 5,000+ bite-sized, business-focused videos to help you meet your daily learning goals on the go.
Apply before 31 March 2023 to enjoy US$150 off the programme fee.
Use code SMU150EBTA during payment.
New features:
● Live session with faculty
● Live sessions from Programme Leader on XLSTAT
● Tools to be taught - XLSTAT, Excel and Tableau
● Capstone Project
WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.
90+ Video Lectures
30 Assignments
10+ Industry Examples
6 Discussion Boards
6 Case Studies
3 Live Sessions with Faculty
Note: All brand, product and company names are trademarks™ or registered® trademarks of their respective holders.
Use of them does not imply any affiliation with, endorsement by, or association of any kind between them and programme owners.
The Capstone Project will give the participants an opportunity to apply the learnings from this course to a key industry or a real-world situation.
Through real-world examples from multiple industries, you'll see how the theories are put into practice.
Understand how proprietary data was collected by Facebook for targeted advertising.
Learn about how Tesla uses Recurrent Neural Networks(RNN) in autopilot cars.
Understand how AI runs Google Adwords to decide advertisement ranking.
Learn how Tinder uses the data-enabled network effect for New Smart Photo algorithm.
Identify how Walmart uses historical data for data-driven predictive technology to predict shopping pattern during natural calamities.
Understand how Pandora uses data insights to improve their service/product offerings.
Other companies that are included as examples or as use cases in the programme include Apple, Netflix, Google Trends, Spotify, Microsoft etc.
Note: All brand, product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with, endorsement by, or association of any kind between them and programme owners.
Enterprises across the globe are shifting their focus to data-driven goals and decision-making. In fact, the International Data Corporation reports that worldwide data will grow 61% to 175 zettabytes by 2025*. So, why is data science so important? Because it enables organisations to efficiently process and interpret data that can be used to make informed business decisions & drive growth, optimisation and performance.
In the online Data Science & Analytics for Strategic Decisions programme—offered by Singapore Management University—you can learn how to process and understand data that can be used to drive better, smarter decisions within your organisation.
*Source: IDC, 2021
is the expected rise in employment of data scientists by 2030 - much faster than the average for all occupations.
of businesses cite the need to manage unstructured data as a problem for their business.
Associate Professor of Marketing
Sandeep serves as Associate Professor of Marketing. Prior to joining SMU, Sandeep worked at 3M and before that he worked as a Jr Faculty Fellow at the Indiana University’s Kelley School of Business. He has a PhD in Marketing (with a minor in Statistics) from The Ohio State University... More info
Professor of Information Systems (Education); Associate Dean, SCIS Post-Graduate Professional Education; Director, Doctor of Engineering
Professor Cheong has served a variety of academic appointments at SMU since 2005, including as a Lecturer, Assistant Professor and Associate Professor of Information Systems... More infoSandeep R. Chandukala, PhD
Associate Professor of Marketing
Sandeep serves as Associate Professor of Marketing. Prior to joining SMU, Sandeep worked at 3M and before that he worked as a Jr Faculty Fellow at the Indiana University’s Kelley School of Business. He has a PhD in Marketing (with a minor in Statistics) from The Ohio State University, MS (MAS) and MBA from University of Texas at Dallas, and MS (Computer Engineering) from University of Minnesota.
Associate Professor Chandukala’s research interests are related to developing quantitative models of consumer behaviour using industrial data. His research primarily focuses on retail analytics. Specifically, understanding and measuring the impact of promotions, advertising and new products and proposing new approaches for market segmentation using Bayesian and Markov Chain Monte Carlo (MCMC) methods. His research has appeared in Marketing Science, Journal of Marketing, Journal of Retailing, Marketing Letters and Customer Needs and Solutions. Associate Professor Chandukala was awarded Lee Kong Chian Research Fellowship in 2016-17 and was also in the Dean’s Teaching Honour List for Postgraduate Teaching in 2018.
Michelle Cheong, PhD
Professor of Information Systems (Education); Associate Dean, SCIS Post-Graduate Professional Education; Director, Doctor of Engineering
Professor Cheong has served a variety of academic appointments at SMU since 2005, including as a Lecturer, Assistant Professor and Associate Professor of Information Systems. In addition to her current role as Professor of Information Systems, Professor Cheong also holds administrative positions at SMU, serving as an Associate Dean of SIS Post-Graduate Professional Education and as Director of Doctor of Engineering.
Professor Cheong’s research interests include data and decision analytics, spreadsheets modeling and pedagogy, and learning analytics and text mining. In 2018, she was awarded the SMU Teaching Excellence Award - Postgraduate Professional Programmes by the SMU Centre of Teaching Excellence.
Professor Cheong’s work has been featured in a number of journal articles, books and book chapters, conference proceedings and papers, and magazine articles. Her latest work on the impact of peer helper training at SMU was published by the International Journal of Evidence Based Coaching and Mentoring.
The programme is designed for both tech and non-tech professionals with 6 – 20+ years of relevant work experience—No coding is required; however, a basic knowledge of Excel would be beneficial. Industries and Functions that can benefit include:
Industries:
IT, E-Commerce, Computer Software, Finance, Marketing and Advertising, Banking, Education Management, and Management Consulting
Functions:
Engineering, Programming, Technology, General Management, Marketing, Finance, Operations, and HR Functions
This programme is especially helpful for professionals who aspire to:
Note: *All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Upon successful completion of the programme, participants will be awarded a verified digital certificate by Singapore Management University.
Download BrochureAll certificate images are for illustrative purposes only and may be subject to change at the discretion of Singapore Management University.
Flexible payment options available.
