Faculty of Computer Science & Information Technology

This programme aims to produce excellent graduates who are able to apply the knowledge gained in the field of Computer Science and Data Science and apply scientific techniques to solve computer-based problems, as well as having entrepreneurship mindset.

The graduates will be able to conduct data-driven investigations by accessing, assessing and analyzing data sets to gain useful information, to be competent in using suitable tools and technologies in building data model capable of prediction and be able to solve problems that involve disparate datasets from any domain and develop data products.

For this program, UM has signed the MoA with SAS to develop Data Scientists in Malaysia. Students completing specific elective courses offered by this program will receive a Joint Professional Certificate from SAS.

SAS also has endorsed the program in Data Analytics by providing tools and educational material support for learning and research purposes.

Collaborative Industrial Partnership

Career Opportunity

Graduates of this programme may choose to be one (but not limited to) of the following:

Data Scientist
Data Analyst
Machine Learning Engineer
Data Modeler
Data Miner
Webometrician
Statistician
Data Engineer
Academician
Researcher
Entrepreneur

Course Structure

This programme consists of 128 credits comprising 20 credits University courses, 17 credits Faculty Core courses, 6 credits Faculty Elective courses, 55 credits Programme Core courses (including 12 credits for Industrial Training), and 30 credits Specialization Elective courses.

	Course
Semester 1	The Islamic and Asian Civilization (International students are exempted)
	Ethnic Relations / Introduction to Malaysia (For international student)
	Computing Mathematics I
	Fundamentals of Programming
	Computer Systems and Organization
	Information Systems
Semester 2	Basic Entrepreneurship Culture
	Information Literacy
	Social Engagement
	Data Structure (#WIX1002)
	Computer System Architecture (#WIX1003)
	Machine Learning
	Introduction to Data Science
Semester 3	Co-Curriculum
	English for Communication (1)
	Thinking and Communication Skills
	Project Management
	Database
	Software Modeling
	Probability and Statistics
Semester 4	English for Communication (2)
	Operating Systems
	Network Technology Foundation
	Specialization Elective (1)
	Specialization Elective (2)
	Specialization Elective (3)
Semester 5	Data Science Project
	Specialization Elective (4)
	Specialization Elective (5)
	Specialization Elective (6)
	Faculty Elective (1)
	Faculty Elective (2)
	External Faculty Elective
Semester 6	Data Science Industrial Training
Semester 7	Industrial Training

(Note : Not all courses will be offered every semester; the actual courses offered will depend on the availability of staff and the number of registered students.