

Course Qualification
Diploma
Study Period
8 Months
Study Mode
Full Time
Intakes
February, April, June, August, October, December
Estimate Fee
RM50,487
Diving into Machine Learning and Code
This program introduces students directly to the mechanics of intelligent computer applications and automated systems. Learners start by understanding how computer architecture functions and immediately move into learning practical languages like Java. Instead of just studying tech concepts from a textbook, students write code to solve basic programming problems and build functional algorithms. The lessons break down how computers think, enabling anyone to understand how automated software processes logic and makes decisions.
Handling Real Data and Analytics
A major part of the weekly routine involves working with data design and structural tools. Students learn how information is stored, organized, and pulled from modern database frameworks. In data analytics modules, classes focus heavily on using software tools to sift through large blocks of information to find patterns. Assignments are based on practical scenarios where students clean messy data, structure it correctly, and create clear visual reports to present their findings.
Vibrant City Campus Experience
Studying at the Kaplan Higher Education Academy locations places learners right in the middle of Singapore's urban landscape. The campus buildings sit near several major train stations, making it incredibly simple to commute and explore the city center after class. Between lectures, students spend time in student lounges reviewing code or working through programming challenges together. The international student community is very active, allowing classmates to share ideas and talk about global technology trends.
Pathways to a Tech Career
Completing this double-specialization program provides a strong academic step toward a full university qualification. Graduates can choose to advance into various computer science, data analytics, or IT bachelor's degree programs offered by foreign university partners right on the Kaplan Singapore campus. Those who want to enter the job market early are prepared for junior technical support roles, data entry analysis positions, junior database management tracks, or entry-level software testing roles.
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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