14 Weeks, Online
4-6 hours per week
Any Graduate/ Diploma holder
Create and implement business strategies leveraging data science.
Make data-driven decisions to solve business problems using data insights.
Demonstrate how analytics can be combined with experiments to make data-informed recommendations for business growth.
Explain the key challenges and risks in data science projects.
Evaluate an organisation’s data strategy and recommend ways to achieve a sustainable competitive advantage.
Analyse organisational needs and drive business improvement through data science future trends.
100+ Pre-Recorded Video Lectures* from SMU faculty with for self-paced learning interspersed with live lectures from renowned SMU faculty and industry practitioners
10+ Industry Examples
6 Discussion Boards
9+ Case Studies
3 Live Sessions with Faculty
The programme highlights presented above are approximate, and subject to change depending on the availability and expertise of the teaching faculty, as well as the programme's desired outcomes.
The programme is designed to be delivered approximately over 9 to 10 months in a calendar year, including some occasional breaks that may be provided. This is only indicative. The actual calendar time may be more or less by a few weeks depending on the number of topics covered and other variables like breaks provided/not provided."
**Assignments are reviewed either by success coach who is available to support participants in their learning journey and/or by the Emeritus grading team. The final number of quizzes, assignments and discussions will be confirmed closer to the programme start.
*This is a majorly self-paced online programme with some live sessions with programme faculty. Post- session video recordings will be available for up to 12 months after programme completion. We have a curated panel of industry practitioners who will be conducting the weekly live doubt-clearing sessions.
The live sessions will cover- Installation guide and how to get some basic descriptive statistics? Followed by some demonstration and practice assignments.
Visualization : Histogram Plots
Statistics: Correlation Analysis
Tableau is a visualization tool that helps analyze data and understand customer preferences.
Microsoft Excel is a popular spreadsheet program that includes data computation features along with basic data visualization capabilities.
Note: The tools will be taught by teaching faculty, industry practitioners, or linked to relevant knowledge bases for your reference and self-guided learning
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.
The Weather Company: Creating Consumer Apps that Leverage Big Data
Iuiga’s Challenge: Is Omni-Channel Worth It?
3M Moves to Customer Focus Using a Global Data Warehouse
Advertising Experiments at RestaurantGrades
Advertising Experiments at RestaurantGrades
Digital Transformation of the Certis Group
Data Analytics at DBS Group Audit: The Future of Auditing is Auditing the Future
Stitch Fix: Revolutionizing Personalization with Data
Disney+ and Machine Learning in the Streaming Age
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 Kel...
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. ...
Full-time Faculty, Associate Professor of Computer Science; Director, BSc (Computer Science) Programme; Lee Kong Chian Fellow
Hady W. LAUW serves as Associate Professor of Computer Science at the School of Computing and Information System of Singapore Management University (SMU). His research group P...
FULL-TIME FACULTY, COLLEGE OF INTEGRATIVE STUDIES, Professor of Communication & Technology, Vice President, Partnerships and Engagement
Sun Sun Lim serves as Vice President, Partnerships and Engagement at the Singapore Management University where she’s concurrently working as Professor of Communication and Tec...
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:
Transition into a data-centric senior management role
Gather analytical expertise to handle greater responsibilities
Utilise predictive models to build effective strategies that address key issues in business operations and product quality
Become a leader for sustainable business growth
Spearhead complete ownership of key business tasks and understand underlying strategic implications
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.
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed. Emeritus provides the following career preparation services:
● Resume building videos
● Interview preparation videos
● Linkedln profile building videos
● Interview guidebooks
● Glossary of resume templates
What is it like to learn with the learning collaborator, Emeritus? More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course. A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Note: This service is available only for Indian residents enrolled in select Emeritus programmes.
Flexible payment options available.