Data Science and Analytics for Business Intelligence
About This Course
This course equips learners with the knowledge and practical skills to apply data science and analytics for informed decision-making in engineering management and business contexts. Learners will learn to extract actionable insights from data, design data-driven solutions, and apply advanced techniques to support business intelligence and decision making. Emphasis is placed on linking technical data analytics methods with strategic and operational decisions, enabling learners to become effective managers who can bridge the gap between engineering, data, and business.
As this micro-credential course is only offered in the FlexiMasters in Engineering Management programme, learners are required to enrol into the programme and complete all required courses within this programme.
What You'll Learn
• Describe the applications of Data Science and Analytics in engineering and management settings.
• Collect, clean and transform data for analysis, visualization and decision-making.
• Apply statistical, machine learning and optimization techniques to solve real-world managerial and engineering problems.
• Interpret and communicate analytical insights using appropriate visualisation techniques for diverse stakeholders.
• Design and implement analytics strategies to support competitive advantage.
Entry Requirements
• Working professionals preferably with at least 5 years of work experience in engineering or related fields and aiming for managerial or leadership roles.
• Engineers with technical expertise and aspiring to move into managerial or leadership positions.
• Technical leads/supervisors or engineering managers who wish to formalise and enhance their leadership skills and management knowledge.
• Prior knowledge in engineering principles and basic project work experience will be an advantage, but no formal leadership experience is required.
No pre-requisites are needed to enroll in the individual courses; however, learners without qualifications or working experience in relevant engineering or the related fields may find the course contents challenging.
Note: Shortlisting will be conducted.