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Bachelor of Computer Science (Honours) in Data Science

Tunku Abdul Rahman University of Management and Technology
Setapak, Kuala Lumpur
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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.  

 
Campus:-
KL Main Campus
Penang Branch Campus


Career Prospects:
  • Data Scientists
  • Data Engineers
  • Data Analysts
  • Data Modelling Engineers
  • Software Developers
  • Mobile Application Developers
  • Computer Science Researchers
  • Machine Learning Engineers

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Ringkasan Kursus

Pengambilan

Feb (KL), June (KL & PG), November (KL)

Jumlah Yuran (anggaran)

RM 37,500

Tempoh Kursus

3 years

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  1. STPM - Grade C in 2 relevant subjects 
  2. A Level - Grade D in 2 relevant subjects
  3. UEC - Grade B in 5 relevant subjects 
  4. TAR UMT - Foundation in Computing (Track A) OR Relevant Diploma (with minimum CGPA 2.5000)^
  5. Other IHL -Foundation relevant accredited by MQA OR Relevant Diploma** (with minimum CGPA 2.5000)^ 


Compulsory subjects:
(1), (2), (3) and (5) must include SPM Credit in Additional Mathematics OR O Level Grade C in Mathematics-Additional OR UEC Grade B in one mathematics subject
(1), (2), (3) and (5) 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 D 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 D in 2 relevant subjects
(3) UEC - Grade B in 5 relevant subjects


Compulsory Subjects:
(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 
(1), (2), and (3) must include SPM Pass/ O Level Grade E (Pass)/ UEC Grade C in English Language*
(1), (2), and (3) must include Grade C in AMMS0204 Mathematics conducted by TAR UMT

^ 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 UMT is accepted as having fulfilled the English Language requirement for applicants who fail English Language at SPM/O Level/UEC.


Note:
  • Students without a credit in SPM Bahasa Melayu are required to pass Bahasa Kebangsaan A before the award of Bachelor Degree.
  • TAR UMT Diploma will be accepted on credit transfer into Bachelor Degree programmes.
  • Equivalent qualifications/qualifications from other Institution of Higher Learning (IHL) will be considered on a case-by-case basis.
  • Subject to the Ministry of Education latest requirements.
Malaysian Student - RM 37,500
International Student - RM 65,200
 
The estimated total fees may vary by 10%
  • Introduction to Computer Systems
  • Web Design and Development
  • Software Engineering
  • Internet of Things
  • Introduction to Computer Networks
  • Data Science
  • Statistics for Data Science
  • Artificial Intelligence
  • Machine Learning
  • Data Engineering
  • Business Intelligence
  • 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
  • Natural Language Processing
  • Graphics Programming
  • Image Processing
  • Algebra and Calculus
  • Music Appreciation
  • Introduction to Short Story


Free Module Electives (Choose 1):
  • Business Organization and Management
  • Principle of Marketing


Language, Mata Pelajaran Pengajian Umum (MPU) and Co-curricular Courses:
English for Tertiary Studies, Tamadun Islam dan Asia, Academic English, Hubungan Etnik, English for Career Preparation, Entrepreneurship, Bahasa Kebangsaan A, Contemporary Malaysian Issues, Co-curricular
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