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Bachelor of Computer Science (Honours) in Data Science


Data is the most critical element in the operation of any organisation. Data Systems are being deployed by effective organisations for collection, systematisation, 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, characterised 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 organisations of all sizes, big or small, both locally and abroad.

Data Science is an interdisciplinary field that uses a combination of 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 is applicable to a broad range of fields, such as medical/health sciences, finance, business and retails, natural sciences, and social sciences, among others. Data Science graduates are, therefore, an indispensable resource for any organisation.


Perdana University is pleased to offer a Bachelor of Computer Science (Honours) in Data Science programme as an effort 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.

Bachelor of Computer Science (Honours) in Data Science aims to prepare undergraduates to: 

 Possess fundamental knowledge, principles and skills in Data Science;

 Have strong analytical and critical thinking skills to solve problems by applying knowledge, principles and skills in Data Science, including assessment of business and scientific requirements;

 Possess and able to apply fundamental mathematical, scientific and statistical computing knowledge in analysing, modelling, designing, developing and evaluating data science solutions; and

 Possess the ability to design, implement and manage data science solutions and resources, and recognise the impact of data on individuals, organisations and society, including its relevance to life and health sciences.


Data Science graduates are in demand for various jobs in many sectors and industries ranging from education, finance, banking, business, corporate, social science, telecommunication, life sciences, printing education, film/animation, web analytics, broadcasting, and advertising, among many others. The plethora of professions offered in the data industry includes Information Systems Auditors, Information Systems Consultants, Information Technology Consultants, Data Analysts/Professionals, Database Programmers, Web Programmers, Application Software Consultants, and System Analysts, among others.

  Scholarships available

  Personalised learning experience

  Equipped with trending skills

  Soaring industry demand.

  Boundless job opportunities, locally and internationally.

  Lifeline for Industrial Revolution 4.0.

  Balanced curriculum.

  Access to international data science network.

  Diverse and enriching industry placement experience.

  Associateship to data science support ecosystem.

List of course/module offered in the programme

Year         Course
Discrete Mathematics
Introduction to Computer Programming
Computer Organisation & Operating System
Data Structures and Algorithm
Probability and Statistics
Linear Algebra
Fundamentals of Software Development
Introduction to Database
MPU subjects
2Computer Network
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
Big Data
Multivariate Analysis
Introduction to Parallel Processing
Data Analytics Essentials
Research Methodology, Critical Thinking and Scientific Communication
MPU subjects
3Business Intelligence & Entrepreneurship
Dimensionality Reduction
Machine Learning
Professional Ethics and Information Law
Visualisation on Data & Communicating Results
Final Year Project
Electives*Digital Marketing
Data Mining Application in Life Sciences
Health Analytics and Data Mining
Data Driven Organisation

Academic Team

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Recognition & Accreditation:
This programme is provisionally by the Malaysian Qualifications Agency (MQA) and recognised by the Ministry of Education (MOE).

Course Approval Number:
JPT/BPP (N/481/6/0821) (MQA/PA11408) 05/24

Award Title:
Bachelor of Computer Science (Honours) in Data Science

Mode of Study:
3 years (Full-Time)

Credit Hours:

April, July & October

Teaching & Learning Method:

Blended learning (lecture combined with online learning and independent study), practical, tutorial, internship, assignment, presentation, and test.


Academic Qualification Requirements

STPM or equivalent

Minimum 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).


Other equivalent qualifications recognised by Perdana University’s Senate

Malaysian Students

International Students

NOTE: The above tuition fee does not include miscellaneous charges. Kindly contact the University for more details.


Scholarship by Alumni

  • Local


Scholarship by Merit

  • International
  • Local


Scholarship Sibling

  • International
  • Local


Need Assistance?

Kindly contact the Department of Student Life for detailed information on the scholarships & financial assistance available.


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  019-912 6828

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