Bachelor of CS (Hons) (Data Science)
Course overview
Qualification | Bachelor's Degree |
Study mode | Full-time |
Duration | 3 years |
Intakes | January, June, September |
Tuition (Local students) | $ 12,067 |
Tuition (Foreign students) | $ 13,407 |
Subjects
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Computer Science
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Computer Science, IT
About
The Bachelor of Data Science programme equips students with essential computing knowledge, a strong foundation in statistics and mathematics, and the expertise to apply scientific methods in extracting, processing, and analyzing data.
Admissions
Intakes
Fees
Tuition
- $ 12,067
- Local students
- $ 13,407
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
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.
Entry Requirements
General Entry Requirements:
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STPM (Arts Stream)
- Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and
- A credit in Additional Mathematics at the SPM Level or its equivalent; OR
- A credit in Mathematics and any one of the Science, Technology, or Engineering subjects at the SPM Level or its equivalent.
- Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and
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STPM (Science Stream)
- Pass with a minimum Grade C (GP 2.00) in Mathematics and one (1) Science / ICT subject.
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A-Level
- Pass with Grade D in any two (2) subjects and
- A credit in Additional Mathematics at the SPM Level or its equivalent; OR
- A credit in Mathematics and any one of the Science, Technology, or Engineering subjects at SPM Level or its equivalent.
- Pass with Grade D in any two (2) subjects and
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STAM
- Pass with a minimum Jayyid in any two (2) subjects and
- A credit in Additional Mathematics at SPM Level; OR
- A credit in Mathematics and any Science, Technology, or Engineering subject at SPM Level.
- Pass with a minimum Jayyid in any two (2) subjects and
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UEC
- Pass with at least Grade B in any five (5) subjects and
- A credit in Additional Mathematics at SPM Level or its equivalent; OR
- A credit in Mathematics and any Science, Technology, or Engineering subject at SPM Level or its equivalent.
- Pass with at least Grade B in any five (5) subjects and
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Foundation / Matriculation
- Pass with a minimum CGPA of 2.00 and a credit in Additional Mathematics at SPM Level or its equivalent; OR
- Pass with a minimum CGPA of 2.00 and a credit in Mathematics and any Science, Technology, or Engineering subject at SPM Level or its equivalent.
- Candidates without Additional Mathematics are required to take and pass a reinforcement mathematics subject in the first semester.
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Diploma in Computing Fields (Level 4, MQF)
- Pass with minimum CGPA of 2.50.
- CGPA below 2.50 but more than 2.00 may be subject to internal evaluation/interview.
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Any Diploma in Science & Technology (Level 4, MQF)
- Pass with a minimum CGPA of 2.75.
- CGPA below 2.75 but more than 2.50 may be subject to internal evaluation/interview.
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Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing Fields
- Pass with a minimum CGPA of 2.50, subject to HEP Senate / Academic Board’s approval.
English Language Requirements (for International Students):
- MUET: 3.5
- IELTS: 5.0
- TOEFL: 7.5 (Ess Online) / 40 (iBT)
- Pearson: 47
- Linguaskill OL: 154
- ELS: 107
International students from countries where English is the primary medium of instruction are exempted from this requirement.
Students who do not meet the English requirements may enroll in the Intensive English Programme at Nilai University to prepare for the IELTS examination
Curriculum
Foundational
- Understanding Computing
Common Core and Discipline Core
- C Programming
- Software Modelling and Analysis
- Database Systems
- Data Visualisation
- Computer Architecture and Organisation
- Introduction to Object Oriented Programming
- Information Assurance Security
- Web Development
- Data Structure and Algorithms
- Operating Systems Principles
- Object Oriented Software Development
- Data Communication and Networking
- Human Computer Interaction
- Artificial Intelligence
- Discrete Structures
- Platform Based Development
- Parallel and Distributed Computing
- Python Programming
- Software Design and Architecture
Specialisation Courses
- Data Science
- Computer Graphics
- Statistical Methods for Data Science
- Software Project Management
- Theory of Computation
- Data Mining and Predictive Analytics
- Big Data Analytics
- Machine Learning
Capstone
- Data Science Project I
- Data Science Project II
Industrial Training
- Internship