Programme Partner
Overview
Why Enrol in Data Science & Analytics for Strategic Decisions?
In today's business landscape, data is not just an asset — it is a strategic advantage. With global data volumes projected to reach over 180 zettabytes by 2025 (Source: Statista, 2024), organisations are racing to harness meaningful insights that drive smarter, faster, and more impactful decisions.
Yet, a major challenge remains: nearly 80% of business data is unstructured (IDC, 2024), making it difficult to extract strategic value without the right skills and tools. This creates a growing demand for professionals who can bridge the gap between complex data and actionable business strategies.
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.
- Next Course Starts On 30 Sep 2025 (Tue)
- Duration15 Weeks, Online 4-6 hours per week
- LevelAdvanced
- VenueOnline
Learning Objectives
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
Industry Exposure
Industry examples for practical exposure
Peer Interaction
Discussion boards for peer interaction
Real-World Cases
Case studies for real-world application
Industry Masterclasses
Masterclasses with industry professionals
Live Faculty Sessions
Live sessions with SMU faculty experts
XLSTAT Tool Sessions
Live sessions on XLSTAT for tool-based learning
Hands-on assignments
for applied learning
Pre-recorded video lectures
by SMU faculty
Topics/Structure
- 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
- Disruptive innovation
- Distilling value from analytics
- Developing a strategy roadmap, privacy implications, traps and myths
- Customer-centric analytics in retail and media
- Business process analytics
- Domain exposure
- 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
- Overview of ChatGPT and OpenAI
- Timeline of NLP and Generative AI
- Frameworks for understanding ChatGPT and Generative AI
- Implications for work, business, and education
- Business roles to leverage ChatGPT
- Futureproofing organisations to incorporate Generative AI into workflow
- Prompt engineering for fine-tuning outputs
- Safeguards and risk mitigation measures
Assessment
Schedule
Start Date(s) : Tue, 09/30/2025 - 12:00
Intake Information :
Refer to Online Singapore Management University Courses - Emeritus - Online Certificate Courses | Diploma Programs for the latest updates on application dates and discounts.
For more enquiries, please email to ur-opsteam-APAC@emeritus.org or ruswelt.pereira@emeritus.org.
Alternatively, you may also write to us at exd@smu.edu.sg for any urgent matters related to the programme.
Note:
- This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
- Assignments will be graded by industry practitioners who are 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 start of the programme.
