Data Science & Analytics for Strategic Decisions Programme

  • Live session with faculty
  • Live session with Industry Expert
  • Masterclasses on AI and Gen AI
  • Capstone project
Work Experience

Future-Proof Your Career

Emeritus and Singapore Management University unite to offer an exclusive opportunity. Enrol by Invalid liquid data using this code: APAC50ALL9153 and get USD 50 enrolment benefit. Limited seats available. Reserve your spot today!

Strategic Decisions Powered by Data: Master Analytics, AI & Experiments with SMU

Join Prof. Michelle Cheong as she gives you an exclusive tour of this programme. Learn to apply analytics, machine learning, and experimental design to drive growth and gain a sustainable competitive edge.

Prof Michelle Cheong

    Live Masterclasses on AI & Gen AI

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    AI-Powered Data Storytelling and Decision Intelligence

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    AI Ethics, Bias, and Responsible Data Science

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    Web Scraping with AI for Data Automation

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    Generative AI for Business Analytics

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    AI-Driven Predictive Analytics and Forecasting in Business

    Tools Covered

    Tableau

    Tableau is a visualization tool that helps analyse data and understand customer preferences

    Microsoft Excel

    Microsoft Excel is a popular spreadsheet program that includes data computation features along with basic data visualisation capabilities.

    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 tools will be taught by teaching faculty, industry practitioners, or linked to relevant knowledge bases for your reference and self-guided learning

    Who Is This Programme For?

    • Mid-to-senior Professionals from both Tech and Non-tech backgrounds looking to transition into data-driven leadership roles — no coding required; basic Excel knowledge is helpful

    • Leaders and Managers across industries like IT, E-Commerce, Finance, Marketing, Banking, Education, and Consulting who want to drive strategic decisions using data

    • Professionals in Functions such as Engineering, Technology, Marketing, Finance, Operations, and HR aiming to build predictive models and improve business outcomes

    • Aspiring Data-centric Leaders who want to own critical business functions, unlock insights, and drive sustainable growth through analytics and strategic thinking

    Programme Highlights

    Pre-recorded video lectures by SMU faculty
    Faculty Video Lectures

    Pre-recorded video lectures* by SMU faculty

    Industry examples for practical exposure
    Industry Exposure

    Industry examples for practical exposure

    Case studies for real-world application
    Real-World Cases

    Case studies for real-world application

    Masterclasses with industry professionals
    Industry Masterclasses

    Masterclasses with industry professionals

    Hands-on assignments for applied learning
    Applied Learning

    Hands-on assignments** for applied learning

    Discussion boards for peer interaction
    Peer Interaction

    Discussion boards for peer interaction

    Live sessions with SMU faculty experts
    Live Faculty Sessions

    Live sessions with SMU faculty experts

    Note:

    • 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.

    Programme Modules

    Capstone Project

    Apply predictive analytics using logistic regression to optimise organisational efficiency

    Analyze loan application data to uncover approval patterns and identify key risk factors. Apply exploratory data analysis, handle missing values, and outline the steps to build a logistic regression model. Strengthen your ability to extract insights and support smarter business decisions through data.

    Programme Faculty

    Faculty Member Sandeep R. Chandukala, PhD
    Sandeep 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 Kel...

    Faculty Member Michelle Cheong, PhD
    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. ...

    Faculty Member Hady W. LAUW
    Hady W. LAUW

    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...

    Faculty Member SUN SUN LIM
    Sun Sun Lim

    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...

    Industry Examples

    Through real-world examples from multiple industries, you'll see how the theories are put into practice.

    Other companies that are included as examples or as use cases in the programme include Apple, Netflix, Google Trends, Spotify, Microsoft etc.

    Facebook

    Facebook

    Understand how proprietary data was collected by Facebook for targeted advertising.

    Tesla

    Tesla

    Learn about how Tesla uses Recurrent Neural Networks(RNN) in autopilot cars.

    Google

    Google

    Understand how AI runs Google Adwords to decide advertisement ranking.

    Tinder

    Tinder

    Learn how Tinder uses the data-enabled network effect for New Smart Photo algorithm.

    Walmart

    Walmart

    Identify how Walmart uses historical data for data-driven predictive technology to predict shopping pattern during natural calamities.

    Pandora

    Pandora

    Understand how Pandora uses data insights to improve their service/product offerings.

    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.

    Case Studies

    The Weather Company: Creating Consumer Apps that Leverage Big Data

    The Weather Company: Creating Consumer Apps that Leverage Big Data

    Iuiga’s Challenge: Is Omni-Channel Worth It?

    Iuiga’s Challenge: Is Omni-Channel Worth It?

    3M Moves to Customer Focus Using a Global Data Warehouse

    3M Moves to Customer Focus Using a Global Data Warehouse

    Advertising Experiments at RestaurantGrades

    Advertising Experiments at RestaurantGrades

    Predicting Customer Churn at QWE Inc

    Predicting Customer Churn at QWE Inc

    Digital Transformation of the Certis Group

    Digital Transformation of the Certis Group

    Data Analytics at DBS Group Audit: The Future of Auditing is Auditing the Future

    Data Analytics at DBS Group Audit: The Future of Auditing is Auditing the Future

    Stitch Fix: Revolutionizing Personalization with Data

    Stitch Fix: Revolutionizing Personalization with Data

    Disney+ and Machine Learning in the Streaming Age

    Disney+ and Machine Learning in the Streaming Age

    What You Will Learn in the Programme?

    • 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.

    Testimonials

    I thoroughly enjoyed the course and gained many new insights from attending it. The lessons were broken down into simple, easy-to-digest short videos, making learning less intimidating. Though some to...
    Ong Jin Li, Mark
    Enterprise Account Manager
    Synttro Technologies Pte Ltd
    With the growing trends in AI and data analysis, the Data Science & Analytics for Strategic Decisions programme has equipped me with future-ready skills to adapt and lead. I am confident in navigating...
    Jonathan Tan Yong En
    MR
    Occasional sample test data helped in understanding the concepts, and the weekly office hours were useful for clarifying doubts about the datasets.
    Vandana Mehta
    Senior Accounts Executive
    Station Satcom Pte Ltd
    Chief Partnership Officer The best part was that it encouraged me to revisit my knowledge in statistics and try out new tools like XLSTAT and Tableau, which I would never have tried on my own.
    Edmund Lim
    Chief Partnership Officer
    Prudential Plc
    The course was very well-structured. The structured way in which the concepts were introduced was excellent.
    Ramkumar Kanagavel
    Director
    Fiserv
    The data science project part opened my eyes and helped me better understand how to deploy a data science project.
    Thawanpat Meechamnan
    Engineer
    Western Digital Storage Technologies (Thailand) Co., Ltd
    Allowing us to submit open-ended answers challenged us and enhanced learning. The pre-recorded lectures with graphics were very impressive too.
    LOUIS ONG
    Senior Manager
    Acumen Diagnostics Pte Ltd
    I gained a better understanding of the basics of AI, various predictive modeling tools, and found the assignments interesting.
    Wang Liang Ping
    VP IT Strategic Projects
    Great Eastern
    I loved the live webinars with the faculty and professors. They were very useful and effective, complemented by the short videos every week, which kept me motivated to learn and summarize knowledge re...
    Lê Thanh Vy
    Owner
    VYLE Training
    The office hours and webinars allowed us to interact and ask questions about the course materials.
    Alvin Ting
    engineer
    Trying to create a model by myself was very interesting and a novel experience for me.
    Yvonne Jiang
    system analyst
    NIPSEA

    Past Participant Profiles

    Countries

    Work Experience

    Industries

    Past participants of Emeritus work at

    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.

    Example image of certificate that will be awarded after successful completion of this program

    Certificate

    Upon successful completion of the programme, participants will be awarded a verified digital certificate by Singapore Management University.

    All certificate images are for illustrative purposes only and may be subject to change at the discretion of Singapore Management University.

    The Learning Experience

    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.

    Emeritus Career Services

    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

    Please note:

    SMU or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. SMU is not involved in any way and makes no commitments regarding the Career Services mentioned here

    FAQs

    Early registrations are encouraged. Seats fill up quickly!

    Flexible payment options available.

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