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

STARTS ON

30 June 2025

DURATION

15 Weeks, Online

4-6 hours per week

PROGRAMME FEE

US$2,100

GST will be charged at checkout

15% Fee Waiver for SMU Alumni

Future-Proof Your Career

Emeritus and Singapore Management University unite to offer an exclusive opportunity. Enrol by 23 May 2025 at 06:29 PM using this code: APAC50ALL9153 and get USD 50 enrolment benefit. Limited seats available. Reserve your spot today!

Why Enrol in Data Science & Analytics for Strategic Decisions?

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.

The Data Science & Analytics for Strategic Decisions Programme offered by Singapore Management University is designed to help you understand the art of processing and interpreting data. This enables you to make more effective and intelligent decisions within your organization. Additionally, you’ll discover how AI elevates data science, unlocking valuable insights and empowering smarter business strategies.

*Source: IDC, 2021

36%

projected growth in data scientist employment from 2023 to 2033, significantly outpacing the average for all occupations.
SOURCE: U.S. Bureau of Labor Statistics

70%

of public companies that outperform competitors on key financial metrics will also report being data-and-analytics-centric by 2025
SOURCE: Gartner

*The schedule of live sessions and profile of Industry experts is subject to change and confirmation will be provided post programme start.

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

    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.

    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

    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

    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.

    Starts On 30 June 2025