Overview
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.
Who Is This Programme For?
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 Data Science and Analytics for Strategic Decisions programme at Emeritus Institute of Management 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
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.
Certificate
Upon successful completion of the programme, participants will be awarded a verified digital certificate by Singapore Management University.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
Audience
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.
Lecturers
- Sandeep R. Chandukala, PhD - Associate Professor of Marketing
- Michelle Cheong, PhD - Professor of Information Systems (Education); Associate Dean, SCIS Post-Graduate Professional Education; Director, Doctor of Engineering
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Disciplines
Strategic Management Data Science & Big Data Data Analytics View 10 other Short Courses in Strategic Management in SingaporeAcademic 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.
Tuition Fee
-
International
2000 USD/fullTuition FeeBased on the tuition of 2000 USD for the full programme during 3 months. -
National
2000 USD/fullTuition FeeBased on the tuition of 2000 USD for the full programme during 3 months.