Bachelor of Computer Science (Honours) in Data Science

This programme is designed to train students in both computer science and data science, which prepares them well for data professionals or data scientist career pathway. Graduates of this programme are highly demanded in the increasingly data-driven world where their main role is to make sense of big data to improve business processes, optimize resources, increase profits, increase customer satisfaction, personalized experience, automation, and so on.

Artificial Intelligence, Machine Learning, Internet of Things, Business Intelligence, Data Warehouse Technology, Cloud Computing are some of the specialization courses covered in this programme in addition to core courses of Computer Science, for example, Programming, Database Management, Software Engineering and Computer Networks.

Students will have an opportunity to work with the industry through their 6 months industrial training and carry out real-life projects on data science and computer science. All such training will add value to their qualification and increase their employment opportunities.

Upon completion of this program, the students will also obtain SAS Joint Certificate specialised in Data Science and Machine Learning.  w

(1) STPM - Grade C in 2 relevant subjects
(2) A Level - Grade C in 2 relevant subjects
(3) UEC - Grade B in 5 relevant subjects
(4) Other IHL : Foundation relevant accredited by MQA OR Relevant Diploma (with minimum CGPA 2.5000)^ AND SPM Credit in Mathematics/O Level Grade C in Mathematics/ UEC Grade B in one mathematics subject
(5) TAR UC - Foundation in Computing (Track A) OR Relevant Diploma (with minimum CGPA 2.5000)^

Compulsory subjects:
i) (1), (2), (3) and (4) must include SPM Credit in Additional Mathematics OR O Level Grade C in Mathematics-Additional OR UEC Grade B in one mathematics subject
ii) (1), (2), (3) and (4) must include SPM Pass/ O Level Grade E (Pass)/ UEC Grade C in English Language*

OR

(1) STPM - Grade C in one Mathematics and one science/ICT subject (Science Stream)
(2) A Level - Grade C in one Mathematics and one science/ICT subject

Compulsory subjects:
(1), and (2) must include SPM Pass/ O Level Grade E (Pass)/ UEC Grade C in English Language*

OR

(1) STPM - Grade C in 2 relevant subjects
(2) A Level - Grade C in 2 relevant subjects
(3) UEC - Grade B in 5 relevant subjects

Compulsory Subjects:
i) (1), (2), and (3) must include SPM Credit in Mathematics and one science/technology/engineering subject OR O Level Grade C in Mathematics and one science/technology/engineering subject
ii) (1), (2), and (3) must include SPM Pass/ O Level Grade E (Pass)/ UEC Grade C in English Language*
iii) (1), (2), and (3) must include Grade C in AMMS0204 Mathematics conducted by TAR UC

^ Graduates with CGPA 2.0001 - 2.4999 are required to sit and pass a Qualifying Test.

*Grade C and above in AELE0364 English Language conducted by TAR UC is accepted as having fulfilled the English Language requirement for applicants who fail English Language at SPM/O Level/UEC.

** Must include SPM Credit in Mathematics/ O Level Grade C in Mathematics/ UEC Grade B in one mathematics subject

Note:
a) Students without a credit in SPM Bahasa Melayu are required to pass Bahasa Kebangsaan A before the award of Bachelor Degree.
b) TAR UC Diploma will be accepted on credit transfer into Bachelor Degree programmes.
c) Equivalent qualifications/qualifications from other Institution of Higher Learning (IHL) will be considered on a case-by-case basis.
d) Subject to the Ministry of Higher Education latest requirements.

Programme Outline:

• Introduction to Computer Systems
• Web Design and Development
• Software Engineering
• Natural Language Processing
• Introduction to Computer Networks
• Data Science
• Statistics for Data Science
• Artificial Intelligence
• Machine Learning
• Data Engineering
• Data Visualisation
• Data Warehouse Technology
• Cloud Computing
• Problem Solving and Programming
• Database Management
• Advanced Database Management
• Object-Oriented Programming
• Research Methods
• Data Structures and Algorithms
• Social and Professional Issues
• Probability and Statistics
• Discrete Mathematics
• Project I
• Project II
• Industrial Training (6 months)

Electives (Choose 3):

• Introduction to Computer Security
• Mobile Application Development
• Internet of Things
• Graphics Programming
• Image Processing
• Algebra and Calculus
• Distributed Systems and Parallel Computing
• Blockchain Application Development

Free Module Electives (Choose 1):

• Business Organization and Management
• Principle of Marketing