Diploma in Computer Science

Programme Overview:

This programme prepares students to work in an exciting career and profession in the area of computer science specialized in data science. It aims to produce graduates with fundamental knowledge in computer science, analytical methods relevant to modern applications which require large-scale data analysis as well as concepts and techniques of data science. Graduates can apply the knowledge and skills learnt to solve Big Data problems in a variety of disciplines. This programme provides a platform that allows students to learn the knowledge of C, Java and Python, assembly language, XHTML, CSS, Java Script and SQL which are the basic skills required by students to develop software or information systems to capture and analyse massive amounts of data across a range of organisations. Students will be trained in various software and information systems development technologies. Introduction to Data Science, Data Mining and Big Data Techniques which emphasize on mathematical approach to the computational analysis of data are also introduced so students are able to draw upon the mathematics of both computation and probability to make use of the large amounts of data that are collected in order to solve major problems in their future workplace.

Elective courses like Mobile Application Development, Web Systems and Technologies, Windows Application Programming, Advanced Java Programming, Electronic Commerce and Fundamentals of Artificial Intelligence will be offered to students undergoing this programme.

Students will also have the opportunity to experience 9 weeks of industrial training in related industry. The aim of the industrial training is to expose students to real-life projects on software development and fundamentals of data science. Such training will add value to their qualification and increase their employment opportunities.


2 years



Academic Progression:

Graduates may be admitted into Year 2 of:

Entry Requirements:

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Programme Outline:
  • Problem Solving and Programming
  • Introduction to Information Technology
  • Calculus and Algebra
  • Web Design and Development
  • Systems Analysis and Design
  • Statistics I
  • Database Development and Applications
  • Introduction to Data Science
  • Data Driven Marketing
  • Statistics II
  • Discrete Mathematics
  • Data Science with Python
  • Introduction to Data Mining
  • Object-Oriented Programming Techniques
  • Computer Systems Architecture
  • Fundamentals of Computer Networks
  • Big Data Techniques
  • Operating Systems
  • Industrial Training
Elective I (Choose 1):
  • Mobile Application Development
  • Web Systems and Technologies
Elective II (Choose 1):
  • Windows Application Programming
  • Advanced Java Programming
Elective III (Choose 1):
  • Electronic Commerce
  • Fundamentals of Artificial Intelligence
Language, Mata Pelajaran Pengajian Umum (MPU) and Co-curricular Courses:

English for Tertiary Studies, Public Speaking, Academic English, Professional English, Pengajian Malaysia 2, Bahasa Kebangsaan A, Civic Consciousness and Volunteerism, Co-curricular

Career Prospects:
  • Junior Data Scientists
  • Junior Data Analysts
  • Junior Programmers
  • Junior Web Developers
  • Junior Multimedia Developers
  • Junior Mobile Application Developers
  • Junior Software Engineers
  • Junior Network Engineers
  • Assistant Systems Analysts
  • Assistant Database Administrators
  • Assistant IT Consultants
Fees & Financial Aid:

Estimated Total Fees : RM 18,200 (Malaysian Student)

The estimated total fees may vary by 10%

For more information on Fees, click here.

Merit Scholarship

To find out more, click here.

Other Scholarship

To find out more, click here.

Financial Aid

For PTPTN, click here.

For Study Loan, click here.

For more information on Financial Aid, click here.

Contact Us


TELEPHONE: 603-41450123 Ext no. 3233
MOBILE PHONE: 6011-10758554
FAX: 603-41423166 / 018 925 1001
EMAIL : focs@tarc.edu.my

8.30am - 5.30pm (Monday - Friday)

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