Bachelor of Science (Honours) in Computer Science with a specialism in Data Analytics

APU-DMU Dual Degree Programme

Students who are under Bachelor’s Degree Programme will have the option to opt-in for the APU-DMU Dual Degree Scheme. Under this Scheme, students will receive 2 Degree Certificates & Transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia and 1 from De Montfort University (DMU), UK.

To know more about APU-DMU Dual Scheme, please click HERE.

Asia Pacific University of Technology & Innovation (APU) receives perfect 5-Stars on Online Learning in the latest QS Stars Rating System

This programme is specifically designed to provide students with:

  • The ability to develop technical knowledge, skills and background in the design and organisation of computer systems with an emphasis on data analytics.

  • The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.

  • The ability to evaluate and respond to opportunities for developing and exploiting new technologies with data analytics concepts and tools.

SAS - APU Joint Certificate in Computer Science and Data Analytics

APU and SAS have signed an MoA in partnership to develop Data Scientists in Malaysia. SAS also has endorsed the UG and PG level programmes in Data Analytics by providing tools and educational material support for learning and research purposes. All UG and PG Data Analytics graduates will receive a Joint Professional Certificate from SAS.

In addition, students will be awarded an e-Badge, to feature this achievement on their CV and LinkedIn profiles.

3 Years (6 Semesters)

Malaysian Fees:
Year 1
RM 31, 700.00
Year 2
RM 32, 800.00
Year 3
RM 33, 800.00

International Fees:
Year 1
RM 32, 000.00
Year 2
RM 33, 100.00
Year 3
RM 34, 400.00

Total: Malaysian - RM 98,300 | International - RM 99,500

• 25 Jul 2024
• 24 Sep 2024
• 21 Nov 2024

Degree awarded by APU, Malaysia

General Requirements
STPM • 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject.


• 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Additional Mathematics at SPM.


• 2 Passes in STPM with minimum Grade C (GP 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
Overseas qualification that are equivalent to 12th Grade/ A-Level/ HSC are accepted.
• 2 Passes (Grade A-D) in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject.


• 2 Passes (Grade A-D) in A-Level with a Credit in Additional Mathematics at SPM/ O-Level/ IGCSE or equivalent.


• 2 Passes (Grade A-D) in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ O-Level/ IGCSE or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
UEC • 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject.


• 5 Grade B Passes in UEC in any subject including Additional Mathematics.


• 5 Grade B Passes in UEC in any subjects with Credit in Mathematics and Science or ICT Subject at SPM or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
• A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/IGCSE/O-Level or its equivalent.

Note:The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level.


• A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
OTHER DIPLOMAS Any Diploma in Science and Technology with a minimum CGPA of 2.75 with a Credit in Additional Mathematics. Candidates with a CGPA below 2.75 but more than 2.50 can be admitted subject to a thorough rigorous assessment.

Candidates without a Credit in Additional Mathematic, but with Credit in Mathematics and Science or ICT subject at SPM/IGCSE/O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
• Diploma with a minimum CGPA of 2.50.

Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.

Note: Students who do not have a Credit in Additional Mathematics in SPM/O-Level/IGCSE but have an acceptable achievement in Mathematics related subjects during the Foundation which may be equivalent to SPM/O-Level/IGCSE Additional Mathematics, can be accepted into Degree Programmes. Students can be given preferential entry for ICT related subject in SPM/O-Level/ IGCSE.

Any qualification that APU accepts as equivalent to the above.


International Students

Programmes General Requirements
Bachelor (Hons) Degree Programmes • IELTS : 5.0
• TOEFL IBT : 40
• Pearson (PTE) : 47
• MUET : Band 3.5

Please note that under Ministry of Higher Education regulations, only students who have achieved the minimum requirement in the English Language proficiency assessment as indicated above will be allowed to continue their studies in the main study programme. Students who do not have the required English Language achievement may apply for a student visa on conditional basis and are allowed to enrol in an English Language Certification programme at APU upon arrival in Malaysia and, subsequently, appear for the IELTS/TOEFL/PTE/MUET assessment.

Students who are unable to obtain the required level of English Competency during the maximum 12 months’ period, will not be allowed to pursue their studies in the main programme and will have to return to their home country.

Students from English speaking countries and those with qualifications taught in English (IGCSE, A-Levels, IB, American High School Diploma etc) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).

The qualification and entry requirements for the programmes will be determined based on the "Comparison List of Equivalency of International Qualifications with SPM (O-Levels equivalent) and STPM (A-Levels equivalent)" published by Malaysian Qualifications Agency (MQA).


Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, mathematical and algorithmic skills. Some specialised modules will provide them basic knowledge of underlying computer systems such as Computer Architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

Common Modules
  • Introduction to Networking
  • Systems Software and Computing Concepts
  • Introduction to Databases
  • Python Programming
  • Systems Analysis and Design
  • Integrated Computer Systems
  • Fundamental of Entrepreneurship

Specialised Modules
  • Digital Thinking and Innovation
  • Mathematical Concepts for Computing
  • Introduction to Artificial Intelligence
  • Introduction to C Programming


A broader range of skills will be learnt, in which students will gain better understanding of designing and implementing new software, and solving new computing problems through theoretical and algorithmnic foundations. They will gain solid understanding of platform technology and data analytics through modules in application development and knowledge discovery techniques. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

Common Modules
  • Innovation Process
  • Research Methods for Computing and Technology

Specialised Modules
  • Systems and Network Administration
  • System Development Methods
  • Object Oriented Development with Java
  • Web Applications
  • Concurrent Programming
  • Computer Systems Low Level Technique
  • Data Structures
  • Probability and Statistical Modelling
  • Data Management
  • Data Mining and Predictive Modelling

INTERNSHIP (16 weeks)

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.


Students will make use of their previous studies and industrial experience to extend their familiarity in the field of computer science and to refine their personal and professional development. Students will move further into the focus on advanced analytics through business analytics and intelligence modules. A final year project requires them to investigate and develop a solution for a real-world problem – they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.

Common Modules
  • Venture Building
  • Project Management

Specialised Modules
  • Investigations in Data Analytics
  • Algorithmics
  • User Experience
  • Advanced Database Systems
  • Text Analytics and Sentiment Analysis
  • Behavioural Science and Marketing Analytics
  • Database Security
  • Optimization and Deep Learning
  • Project in Data Analytics

Note: The specialism will appear only in the academic transcript.

MQA Compulsory Subjects*

  • Appreciation of Ethics and Civilisation (M’sian Students)
  • Malay Communication Language (Int’l Students)
  • Philosophy and Current Issues
  • Workplace Professional Skills
  • Integrity and Anti-corruption
  • Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency)

BIG DATA - Don’t miss the opportunity to be part of the GLOBAL WAVE

Why Study BSc (Hons) in Computer Science with a specialism in Data Analytics?

Graduates will be equipped with knowledge, skills and experience in three major dimensions: Strategic and Commercial application, “hands-on” ICT skills and Statistics & Analytics. The programme is not merely analytics-oriented, but develops the ability to use analytics to drive key success metrics related to yield management and revenue generation in practically any business domain. There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. In Malaysia alone, by the year 2020 this need is expected to reach at least 15,000 professionals.

The Malaysia Big Data Vision - Demand for Data Science Professionals

“By the year 2020, it is envisioned that Malaysia will need to reach 15,000 Data Professionals”
- Multimedia Development Corporation (MDeC)

“12,000 Big Data scientists are needed within the next five years to spur Malaysia's data-driven economy”
- Datuk Seri Idris Jusoh, Higher Education Minister (September 2015)

“We have partnered with five universities in Malaysia to embed analytics into their computer science curriculum. Also, we are working with these universities to upgrade the syllabus to produce data scientists to address future needs”
- Paul Moung, Managing Director of IBM Malaysia


Source: MDeC Presentation on Big Data from 2015 APU's Big Data Week Launch

Dream Big: Think BIG - Reasons to Study BIG Data:

1. “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.” - McKinsey Report on BIG DATA

2. “Starting salaries for data scientists have gone north of $200,000” - Bloomberg

3. “The Whitehouse Administration is investing $200 Million into big data research projects” - Mushroom Networks

4. “Data scientists are the new superheroes,” says Pascal Clement, the Head of Amadeus Travel Intelligence in Madrid

5. “Malaysia needs additional 12,000 Data Scientists” - Ministry of Education

6.  “Data Scientist: The Sexiest Job of the 21st Century.” - Harvard Business Review



The programme has been carefully designed by APU with inputs and content from our partners, comprising major technology and software solutions providers, university partners as well as industry organisations who use analytics for strategic and competitive advantage.

The strength of these partnerships ensures that the programme comprehensively addresses all key stakeholders – Technology providers, Employers, Government as well as Students – in its learning outcomes, curriculum content, delivery and assessment. Students also obtain certification jointly issued with industry partners, which would certainly give them a head start in the exciting world of Big Data.

Furthermore, APU is also poised to become a frontrunner in analytics research through the establishment of the Asia Pacific Centre of Analytics (APCA), through which research activities will be undertaken to challenge boundaries in the application of analytics.

Graduates from this programme will not only gain an academic qualification from APU, but would also automatically attain a Globally Recognised Professional Industry Certification from SAS. Along the way, graduates would also gain exposure to industrial workshops led by experts from the industry, providing a valuable gateway into future careers.

  • Software Tool Developer
  • Data Analyst
  • Data Scientist
  • Data Wrangler/Munger/Miner
  • Chief Technology Officer (CTO)
  • Data Analytics Manager
  • Business Process Engineer
  • Business Analyst Manager
  • Data Innovation Manager
  • Business Intelligence Developer
  • IT Risk Analyst
  • Advance Analytics Professional
  • Data Engineer
  • Business Intelligence Analyst
  • Machine Learning Scientist
  • Business Intelligence Solutions Architect
  • Analytics Manager
  • Data Visualization Developer