Data Science & Analytics for Strategic Decisions Programme

Harness the power of data science to uncover actionable insights and transform your organisation’s decision-making

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Course Dates

STARTS ON

20 December 2022

Course Duration

DURATION

3 months, online
4-6 hours per week

Course Fee

Apply by 7 December 2022 to avail our Festive Enrolment Benefit of 15%.
Use the code FUTUREYOU15 during payment to avail.
Limited seats available!

New features:
●   Live session with faculty
●   Live sessions from Programme Leader on XLSTAT
●   Tools to be taught - XLSTAT, Excel and Tableau
●   Capstone Project

To ensure that holiday plans on the occasion of Christmas, New Year and Chinese New Year are not interrupted, no new modules will be released during this time and participants will receive a 2-week extension for submitting assignments. Participants will continue to have access to course material on the platform during this time.

WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.

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.

Programme Highlights

90+ Video Lectures

90+ Video Lectures

30 Assignments

30 Assignments

10+ Industry Examples

10+ Industry Examples

6 Discussion Boards

6 Discussion Boards

6 Case Studies

6 Case Studies

3 Live Sessions with Faculty

3 Live Sessions with Faculty

Live sessions on XLSTAT

The live sessions will cover- Installation guide and how to get some basic descriptive statistics?
Followed by some demonstration and practice assignments.

Tools

Tools

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.

Programme Modules

    • Key terminologies of data science
    • Different levels of data analytics and their significance to decision-making
    • Data features and insights to attain sustainable competitive advantage
    • Applications of data analytics and its role in creating new business opportunities
    • Analytical approach to resolve a business problem
    • Is your organisation is data-driven
    • Trends in data and obtaining related insights to enhance business performance
    • Impact an organisation’s omnichannel strategies have on sales
    • How to identify appropriate data/insights
    • Comparison of independent data sets to obtain insights
    • How to apply strategic decision-making using said techniques
    • Regression to analyse the strength/impact of variables
    • Predict variable impact using optimal model fit and regression effects
    • Logistic regression model to test and predict expected outcomes
    • Apply predictive analytics to organisational events to advance strengths and counter threats
    • Correlation and causality and their significance to enhancing business performance
    • Experimentation for business problems to make effective inferences
    • Multivariate, A/B and Multi-Armed Bandit testing
    • Effectiveness of using experimental design to make data-informed recommendations for business growth
    • Recommendation Systems

      • Recommendations and Ranking
      • Collaborative Filtering
      • Personalized Recommendations
    • ML and its role in driving organisational productivity
    • Apply ML algorithms to achieve optimal analytical accuracy
    • Programme-building facets of neural networks and deep learning
    • Combine analytics with experiments to produce effective business strategies
    • Decision Making Under Uncertainty

      • Bayesian Decision Making
      • Simulations to make decisions under uncertainty
    • Optimal Decision Making

      • Linear Optimisation
      • Sensitivity Analysis and Shadow Price
    • Driving digital transformation within the organisation
    • Change management: The role of data analytics, machine learning and its applications
    • Aligning organisations and teams for data-driven approaches
    • Making the business case for Data Science
    • Data Storytelling with Visualisation using Tableau
    • Key challenges to data science projects and their solutions
    • Delta Framework and Delta Plus Model
    • Project-level risks and examples of failed data science projects
    • Predict the success of big data project using DATA technique
    • Drivers, expected outcomes, and technology enablers for Industry 4.0
    • Components for AI success
    • Challenges in the implementation of AI in systems
    • Evaluate an organisation’s digital transformation journey and sustain a competitive advantage

Capstone Project

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.

Industry Examples

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

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.

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

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

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.

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

22%

is the expected rise in employment of data scientists by 2030 - much faster than the average for all occupations.

SOURCE: US Bureau of Labor Statistics, 2021

95%

of businesses cite the need to manage unstructured data as a problem for their business.

SOURCE: SharesPost, 2019

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 Kelley School of Business. He has a PhD in Marketing (with a minor in Statistics) from The Ohio State University... More info
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... More info

Who Is This Programme For?

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

Certificate

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.

Download Brochure

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

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.