About this course
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.
(1) SPM - 3 Credits in the relevant subjects
(2) O Level - 3 Grade C in the relevant subjects
(3) UEC - 3 Grade B in the relevant subjects
(4) Certificate - Relevant Certificate accredited by MQA OR Relevant Skilled/Technical/Vocational Certificate recognised by the Malaysian Government
i) (1), (2) and (3) SPM Credit in Additional Mathematics/ O Level Grade C in Mathematics-Additional/ UEC Grade B in one mathematics subject
ii) (1), (2) and (3) SPM Pass/ O Level Grade E (Pass)/ UEC Grade C in English Language*
*Grade C and above in AELE0364 English Language conducted by TAR UC is accepted as having fulfilled the English Language requirement for applicants who fail English Language at SPM/O Level/UEC level.
a) SPM holders must have at least a pass in Bahasa Melayu and SPM holders from Year 2013 onwards must have at least a pass in Sejarah.
b) Students without a credit in SPM Bahasa Melayu are required to pass Bahasa Kebangsaan A before the award of Diploma.
c) Equivalent qualifications/qualifications from other Institution of Higher Learning (IHL) will be considered on a case-by-case basis.
d) Subject to the Ministry of Higher Education latest requirements.
- 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 IELTS, Public Speaking, English Language, English for Communication, Pengajian Malaysia 2, Bahasa Kebangsaan A, Civic Consciousness and Volunteerism, Co-curricular