Bachelor of Computer Science (Data Science)

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.

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.

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