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

Program Overview

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

Course Details

• Full Time
• Duration: 3 years
• Intake Date: 17 July 2025, 29 September 2025, 25 November 2025
• Awarding Body: APU, Malaysia

Why choose APU?

• Malaysia’s Premier Digital Tech University
• 5-Star Excellence Rating (SETARA)
• 100% Employability Rate
• Ranked No.16 for International Students in the World
• More than 80,000 Graduates & Alumni

Dual Degree

• 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.

Latest Technologies

• APU's BSc (Hons) in Computer Science with a specialism in Data Analytics degree is designed to provide you an edge with the latest technologies that are in line with the Industrial Revolution 4.0.
• Digital Transformation for IR4.0

Requirements

• Admission Requirements
• General Requirements
• Direct Entry to Level 1 of the Degree
• 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.
• A-Level
  • 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.
• UEC
  • 5 Grade B Passes in UEC in Science Stream 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.
• Matriculation/ Foundation
  • 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.
  • 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.
• Direct Entry to Level 2 of the Degree
• ICT Related Diplomas
  • Diploma in Computing fields with a minimum CGPA of 2.50.
  • Student with a CGPA above 2.0 but below 2.50 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.
  • Any Diploma in Science and Technology with a minimum CGPA of 2.75.
  • Student with a CGPA below 2.75 but more than 2.50 can be accepted subject to a thorough rigorous assessment.
• English Requirements
• International Students
  • IELTS : 5.0
  • TOEFL IBT : 40
  • Pearson (PTE) : 47
  • MUET : Band 3.5

Programme Outline

• What We Teach
• 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.
• Degree Level 1
• 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
• Degree Level 2
• 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.
• Degree Level 3
• 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
• 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

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.

Why Study 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”
• “12,000 Big Data scientists are needed within the next five years to spur Malaysia's data-driven economy”
• “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”

Turning Big Data Into Value - 4Vs

• Volume
• Velocity
• Variety
• Veracity

Career Path

• 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

Fees & Certification

• Malaysian: RM32,900 (Year 1), RM34,000 (Year 2), RM35,300 (Year 3), RM102,200 (Total)
• International: RM33,600 (Year 1), RM34,800 (Year 2), RM36,200 (Year 3), RM104,600 (Total)
• MQA Cert: Programme code : (R2/0613/6/0055)(06/29)(MQA/FA4622)