Intakes:April, July & October
Campus:Perdana University, Kuala Lumpur
Level of Study:Degree
Faculty:School of Data Sciences (PUScDS)
Course Code:JPT/BPP (N/481/6/0812) (MQA/PA11408) 05/24
About this course
Data is the most critical element in the operation of any organization. Data Systems are being deployed by effective organizations for the collection, systematization, storage, and communication of information. The need to do so has never been greater than in the current digital era of the big data deluge, characterized by volume, velocity, variety, and veracity. Traditional methods of handling data are no longer sufficient. Effective application of data systems is a challenge faced by organizations of all sizes, big or small, locally and abroad.
Data Science is an interdisciplinary field that uses approaches to extract knowledge or insights from data. It is an exciting field with tremendous opportunities to improve the quality of life for people across the world. Data Science applies to a broad range of areas, such as medical/health sciences, finance, business and retails, natural sciences, and social sciences. Data Science graduates are, therefore, an indispensable resource for any organization.
Perdana University is pleased to offer a Bachelor of Computer Science (Honors) in Data Science program to meet the demand.
This programme aims to produce competent and skilful graduates who can flourish in the digital age of tomorrow, contributing to their organisation and the country. A unique aspect of the programme is that it includes not an only internship but also elective courses that are hands-on and applied in nature, providing the students with skills and awareness of the industry demands.
The internship provides for sufficient exposure to the industry, familiarisation with the work environment and ample time to start a personal network capital; thus, making graduates from this programme attractive candidates for employment.
The focus on practical and applied sessions through the core and the elective courses will provide students with hands-on experience that will help internalise the theories and principles taught, and prepare them for the internship experience. The teaching team leading the students comprises of local and international faculty with extensive teaching, research and industry experience.
Total Course Fees
Malaysian Students: RM45,000
International Students: RM49,500
NOTE: The above tuition fee does not include miscellaneous charges. Kindly contact the University for more details.
There is currently a waiver package available. For more information, please e-mail farah.suhaila@
|Introduction to Computer Programming|
|Computer Organisation & Operating System|
|Data Structures and Algorithm|
|Probability and Statistics|
|Fundamentals of Software Development|
|Introduction to Database|
|Applied Regression and Time-Series Analysis|
|Web Programming and Scraping|
|Seminar and Industry talks: Current Topics in Data Science|
|Introduction to Data Science and its Toolkits|
|Introduction to Parallel Processing|
|Data Analytics Essentials|
|Research Methodology, Critical Thinking and Scientific Communication|
|Business Intelligence & Entrepreneurship|
|Professional Ethics and Information Law|
|Visualisation on Data & Communicating Results|
|Final Year Project|
Entry RequirementsApplicants must have one of the following Entry requirements:
STPM or equivalentMinimum Grade C (CGPA 2.00) in any 2 subjects and credit in Additional Mathematics or Mathematics and any 1 Science, Technology or Engineering subject at SPM or equivalent.
STPM or equivalent (Science Stream)
Minimum Grade C (CGPA 2.00) in any 1 Mathematics subject and 1 Science or ICT subject.
Foundation/ Matriculation or equivalent (Non-Science Stream)
Minimum CGPA of 2.00 and credit in either Additional Mathematics or Mathematics and any 1 Science, Technology or Engineering subject at SPM Level or equivalent.
Diploma in ICT or Science and Technology related field
Minimum CGPA of 2.50 (Candidates with CGPA below 2.50 but above 2.00 may be admitted subject to rigorous internal assessment process).
International Student Only
International students: Please contact Perdana University for more information