

Course Qualification
Diploma
Study Period
8 Months
Study Mode
Full Time
Intakes
April, August, June, December, October
Estimate Fee
RM22,374
Exploring Core Data Analytics
This course introduces students to the foundational concepts of managing and interpreting corporate data. Students look at real datasets to spot business trends, tracking consumer habits and retail data to find meaningful patterns. The modules cover essential business topics like business economics and management principles alongside specialized tech topics. This combination ensures that students do not just calculate numbers, but actually understand how those numbers impact corporate choices, marketing budgets, and daily business operations.
Software and Practical Learning
Rather than listening to long theoretical lectures, students spend their classroom hours working directly with analytics software. The course prioritizes visual storytelling in a digital age, where students use modern data visualization applications to convert messy text files and spreadsheets into clean, interactive charts. During standard tutorials on the Kaplan Singapore Campus, students learn how to clean up incomplete business data, build data models, and run predictive analysis scenarios. This gives students direct experience with the actual processes used by data teams in the corporate world.
Classroom Projects and Evaluation
The learning structure relies on practical tasks, case studies, and realistic corporate problem-solving rather than memorizing textbooks. Students spend their time working through business case simulations where they must figure out why a company's sales are dropping or where a logistics firm can cut costs. Assessments include writing analytics reports, creating digital data dashboards, and presenting findings to classmates. This structure helps students build confidence in explaining their technical ideas to a non-technical audience.
Progression and Future Pathways
Completing this course gives students a clear foundation for their next academic steps. Graduates from this qualification can gain direct entry into the second year of related bachelor's degree programmes. This allows students to progress smoothly toward a full degree from partner institutions across the United Kingdom, Australia, or Ireland. For students looking to enter the job market early, the course builds the basic technical skills needed for entry-level office roles such as junior data analysts, market research assistants, or business operations coordinators.
Review the academic qualifications, grades, and additional criteria needed for admission to this program.
Minimum 5 credits including Mathematics (C) & English (C)
Minimum CGPA 3.00 including Mathematics T (C)
Minimum CGPA 3.00 including Mathematics T (C)
Minimum CGPA 3.00 including Mathematics T (C)
Minimum CGPA 3.00 including Mathematics T (C)
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