Bachelor of Computer Science (Hons.) in Data Science

The three-year Bachelor of Computer Science (Hons.) programme equips students with fundamental computing knowledge and the latest technology. In year 1, all students learn common subjects before specialising in one of the following areas – Software Engineering, Game Development, Data Science or Cybersecurity – in the second year. Students will also complete a final year project and undergo industrial training to acquire practical industry experience.

Data Science focuses on designing and developing solutions to draw useful insights from the availability of large volumes of data, known as Big Data. Students will receive fundamental training in computer science theories and learn techniques on the processing of Big Data for analytics that can be impactful to business.

Career Prospects:

Researcher, Programmer, Software Development, Project Manager, System Analyst, Database Administrator, IS/SE Consultant, Game Producer, Game Artist & Visualiser, Data Analyst, Data Scientist, Data Engineer, Cyber Risk Analyst, Security Penetration Tester, Incident Responder, Digital Forensic Specialist, Security Architect, Security Engineer.

1. Pass in Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR
2. A pass in STPM with a minimum of Grade C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR
3. A pass in STAM with a minimum grade of Jayyid in any TWO (2) subjects; AND a credit in:
   1. Additional Mathematics at SPM Level or its equivalent; OR
   2. Mathematics and any one of the Science, Technology or Engineering subjects at SPM Level or its equivalent*; OR
4. Pass STPM in Science Stream or its equivalent with a minimum of Grade C (GP 2.00) inclusive of Mathematics and one Science / ICT subject; OR
5. Pass A-Level with a minimum of Grade D in Mathematics and one Science / ICT subject; OR
6. Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics, English and one Science / ICT subject; OR
7. Diploma in Computing (Level 4, MQF) or its equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough internal evaluation process; OR
8. Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.00 may be admitted subject to a thorough internal evaluation process; OR
9. Pass DKM /DLKM/DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval. Candidates with CGPA below 2.50 but more than 2.00 must have at least two (2) years of work experience in the related field or may be admitted subject to a thorough internal evaluation process**;

Note:

* Candidates for category (b) need to take a reinforcement Mathematics with appropriate topics in the discipline of Computer Science, Data Science or Software Engineering at the beginning of the study.

Students are required to pass the reinforcement Mathematics as a prerequisite before being allowed to take  related core courses. The candidate can sit for any subjects that did not indicate Mathematics as a pre-requisite.

Reinforcement Mathematics can contribute to the overall graduating credit.

Students from Matriculation/Foundation or its equivalent can be exempted from taking the Reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.

** DKM/DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.

Core Subjects
Year 1

• Calculus
• Programming Fundamentals
• Discrete Structures & Probability
• Professional Development
• Computational Methods
• Object Oriented Programming & Data Structures
• Computer Architecture & Organisations
• Database Fundamentals
• Research Methodology in Computer Science
• U2
• U4

Year 2

• Software Engineering Fundamentals
• Operating Systems
• Computer Networks
• Object Oriented Analysis & Design
• Algorithm Design & Analysis
• Elective 1
• Industrial Training
• U3
• Programming Language Translation
• Advanced Database
• Introduction to Data Science
• Statistical Data Analysis

Year 3

• Final Year Project
• Elective 2
• Elective 3
• U1
• U1
• Workplace Communication
• Data Mining
• Data Visualisation
• Specialisation Elective 1
• Specialisation Elective 2

Specialisation Elective Modules
TWO (2) subjects should be taken from the following:

• Data Management
• Visual Information Processing
• Social Media Computing

Elective Modules
THREE (3) subjects should be taken from the following:

• Systems Analysis & Design
• Concepts of Programming Languages
• Programming Language Translation
• Theory of Computation
• Artificial Intelligence
• Parallel Processing
• Web Application Development
• Computer Security
• Introduction to Formal Methods
• Software Evolution & Maintenance
• Game Physics
• Game Design Fundamentals
• Introduction to Data Science
• Visual Information Processing
• Data Management
• Data Mining
• Social Media Computing
• Advanced Database
• Cybersecurity Fundamentals
• Cryptography and Data Security
• Ethical Hacking and Penetration Testing
• Blockchain and Smart Contracts

University Subjects

• U1 – TITAS (Local) or Pengajian Malaysia III (International)
• U1 – Hubungan Etnik (Local) or BM Komunikasi II (International)
• U2 – Bahasa Kebangsaan or Foreign Language Beginners
• U3 – Business and Entrepreneurship in Malaysia
• U4 – Co-curriculum