Bachelor of Computer Science (Hons.) in Data Science
About
The three-year Bachelor of Computer Science (Hons.) program provides students with a solid foundation in computing and exposure to the latest technologies. In the first year, all students take core subjects before choosing a specialization in one of the following areas in their second year: Software Engineering, Game Development, Data Science, or Cybersecurity. In their final year, students will complete a capstone project and participate in industrial training to gain hands-on industry experience.
Data Science focuses on creating solutions to extract meaningful insights from large datasets, known as Big Data. Students receive foundational training in computer science theories and learn techniques for processing Big Data to generate impactful business analytics.
Career Prospects:
- Data Analyst
- Data Scientist
- Data Engineer
Key facts
Qualification | Bachelor's Degree |
Study mode | Full-time |
Duration | 3 years |
Intakes | March, August, October |
Tuition (Local students) | ₹ 1,201,049 |
Tuition (Foreign students) | ₹ 1,490,459 |
Subjects
-
Computer Science
-
Computer Science, IT
Duration
3 years
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | ₹ 1,201,049 | ₹ 1,490,459 |
Miscellaneous fees | Data not available | Data not available |
Total estimated cost of attendance | ₹ 1,201,049 | ₹ 1,490,459 |
Estimated cost per year | ₹ 400,349 | ₹ 496,819 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
Entry Requirements
- Pass Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR
- Pass STPM (Arts Stream) or its equivalent with a minimum of Grade C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR
- Pass STAM with a minimum grade of Jayyid in any TWO (2) subjects; OR
- 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 2.50 can be admitted subject to a thorough rigorous assessment; OR
- Pass A-Level with a minimum of Grade D (CGPA 2.00) in any TWO (2) subjects;
AND a credit in:
- Additional Mathematics at the SPM level or its equivalent; OR
- Mathematics and any one of the Science, Technology or Engineering subjects at SPM level or its equivalent. Candidates need to take and pass the reinforcement Mathematics equivalent to Additional Mathematics at the SPM level. The subject must be offered in the first semester or before enrolment with unconditional offer; OR
- Pass STPM (Science Stream) or its equivalent with a minimum Grade of C (GP 2.00) in Mathematics subject and ONE (1) Science / ICT subject; OR
- Pass A-Level with a minimum of Grade D in Mathematics and ONE (1) Science / ICT subject; OR
- Pass UEC with a minimum of Grade B in at least FIVE (5) subjects (inclusive of Mathematics, English and one Science / ICT subject); OR
- 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 rigorous assessment; OR
- Pass DKM /DLKM/DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval*; OR
- Other relevant & equivalent qualifications recognised by the Malaysian Government. (Candidates can be admitted if their admission qualification contains Mathematics subject(s) equivalent to Additional Mathematics at the SPM level. If it is not equivalent, reinforcement Mathematics subject that equivalent to the SPM level must be offered in first semester or before enrolment with unconditional offer); OR
- Possess an APEL.A certificate from MQA for admission into Bachelor programmes.
Note:
- DKM/DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.
- Students are required to pass the reinforcement Mathematics 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 reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.
Curriculum
Programme Structure
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
- Integrity and Leadership
- U4
- Character Building
- Sustainable Society
-
Year 2
- Software Engineering Fundamentals
- Operating Systems
- Computer Networks
- Object Oriented Analysis & Design
- Algorithm Design & Analysis
- Industrial Training
- U2
- Data Science Fundamentals
- Statistical Data Analysis
-
Year 3
- Final Year Project
- Elective 1
- Elective 2
- Elective 3
- Elective 4
- U1
- U1
- Fundamentals of Digital Competence for Programmers
- 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
- Four(4) subjects should be taken from the following
- Consumer Trends
- Creativity and Innovation
- Becoming A Leader
- Corporate Training
- Professional Image and Etiquette
- Corporate Communication
- Corporate Strategy
- Design Thinking for Strategic Communication
- Social Media Strategies
- Film Appreciation
- Basic Filmmaking
- Suspenseful Filmmaking
- Fundamentals of Wireless Communications
- Communications Networks
- Radio Network Planning Towards 5G
- Internet & Mobile Application
- Media Anthropology
- Media Law
- Project Management
- Motion Capture
- Information Visualization
- Visual & Corporate Identity
- Accounting for Decision Making
- Management
- Personal Finance
- Fundamentals of Marketing
- Digital Transformation Strategy
- Digital Transformation Technologies
- Ergonomics and Human Factor
- Machine Vision
- IoT Design and Interfacing
- Digital Business
- Business Information Systems
- Data Analytics for Businesses
- Cyber Security
- Understanding Management
- Fundamentals of Marketing
- Financial Management
- Data Analytics for Businesses
- Business Risk Management
- Consumer Law
- Labour Law
- Law and Economics
- Environmental Law
- Law of Banking