4.8 Read 5 reviews
Overview
In today's business landscape, data is not just an asset — it is a strategic advantage.
A major challenge remains: nearly 80% of business data is unstructured, 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.
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
What You Will Learn in this Data Science and Analytics for Strategic Decisions programme at Emeritus Institute of Management?
- 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 Structure
Courses include:
- 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
Key information
Duration
- Part-time
- 4 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Singapore, Singapore
Disciplines
Data Science & Big Data View 3 other Short Courses in Data Science & Big Data in SingaporeWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 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.
Work experience
- tech and non-tech professionals with 6 – 20+ years of relevant work experience
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents2100 SGD / year≈ 2100 SGD / year -
Domestic Applies to you
Applies to youCitizens or residents2100 SGD / year≈ 2100 SGD / year
Funding
Improve page content