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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.
Personalised learning experience
Equipped with trending skills
Soaring industry demand.
Boundless job opportunities, locally and internationally.
Lifeline for Industrial Revolution 4.0.
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
|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|
|3||Business Intelligence & Entrepreneurship|
|Professional Ethics and Information Law|
|Visualisation on Data & Communicating Results|
|Final Year Project|
|Data Mining Application in Life Sciences|
|Health Analytics and Data Mining|
|Data Driven Organisation|
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
Bachelor of Computer Science (Honours) in Data Science
Mode of Study:
3 years (Full-Time)
Twice (January and September)
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
NOTE: The above tuition fee does not include miscellaneous charges. Kindly contact the University for more details.
Scholarship by Alumni
Scholarship by Merit
Kindly contact the Department of Student Life for detailed information on the scholarships & financial assistance available.
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