• Fakulti Teknologi dan Sains Maklumat
  • Faculty of Information Science and Technology
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Bachelor in Computer Science with Honours

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Computer Science is the scientific and practical approach to computation and its applications. Computer science is a fast-moving field that brings together many disciplines, including mathematics, programming, engineering, the natural sciences, and linguistics. We offer a flexible programme with strong fundamentals of computer science that provides students the required skills to solve problems and to create future technology as a computer scientist. The programme is divided into four (4) tracks Software Technology, Network Technology, Applied Data Science, and Intelligent Machine which the students will be able to choose in their second year. Apart from the 12-weeks industrial training in the fourth year, the programme is designed to be in line with industrial requirements through our industrial partners such as IBM, CISCO, and Skymind.

Mode of Study

  • Course Work

Duration of Study

  • Full Time : 7 - 12 semesters
  • Part Time : 7 - 16 semesters

Accreditation Status by

UKM Senate MQA

Current Programme

Structure Course Credit Course
Faculty Compulsory 5 credits MUET Band 3
  • LMCE1062 Academic Interactions
  • LMCE2082 Pro Talk English
  • LMCE3061 Corporate Storytelling

    • MUET Band 4
  • LMCE1072 Academic Literacys
  • LMCE2092 Speak to Persuade
  • LMCE3071 Professional Communication

    • MUET Band 5 & 6
  • LMCE1082 Page to Stage
  • LMCE2103 Advanced Communication Project
    		•
    Compulsory Citra 10 credits
  • LMCW2143 Philosophy and Current Issues
  • LMCW2153 Appreciation of Ethics and Civilizations
  • LMCW1022 Fundamentals of Entrepreneurship Innovation
  • TTTT1022 Data Analysis
    		•
    University Citra 25 credits

    Students must complete 25 credits of University Citra courses, with the minimum credit requirements for each Citra domain listed in the table below

    Citra Domain Minimum Credit
  • C1 Language and Communication Literacy
  • C2 Critical and Design Thinking
  • C3 Arts, Culture & Civilization
  • C4 Science, Technology and Health Literacy
  • C5 Entrepreneurship and Social Responsibility
  • C6 Personal Competence and Teamwork
    		•  2
    2
    2
    2
    2
    2
    Core 64 credits
  • TTTK1114 Computer Programming
  • TTTR1333 Discrete Mathematics
  • TTTM2033 Platform Technology
  • TTTK1143 Program Design & Problem Solving
  • TTTT1964 Databases
  • TTTU2983 Advanced Databases
  • TTTK2103 Computer Network Technology
  • TTTK2323 Mobile Programming
  • TTTK2023 Object Oriented Software Engineering
  • TTTC2013 Introduction to Artificial Intelligence
  • TTTK2093 Human Computer Interaction
  • TTTP2543 Web Programming
  • TTTK2053 Programming Paradigms
  • TTTK3163 Compiler Construction
  • TTTK3043 Algorithm Design and Analysis
  • TTTK4172 Project Proposal
  • TTTK4086 Project
  • TTTT4056 Industrial Training
  • TTTT4076 Industrial Project
    		•
    Elective

    Track:

    IM – Intelligent Machine

    ST – Software Technology

    NT – Network Technology

    DS – Data Science

    ** Optional Subjects

    		 18 credits (based on each Track Courses)

    Choose courses based on track from the following list:

  • TTTC2453 Machine Learning (IM/DS)
  • TTTP2043 Fundamentals of Text Processing and Analytics (DS)
  • TTTC2343 Intelligent Robot System (IM)
  • TTTK2223 Theory of Computer Science (ST)
  • TTTK3033 Operating Systems (ST)
  • TTTK2133 Data Communication and Telecommunication (NT)
  • TTTN2423 Switching, Routing and Wireless (NT) Requirements
  • TTTP2633 Natural Language Computing (DS)**
  • TTTP3053 Web Search and Suggesting Systems (DS)**
  • TTTC3213 Data Engineering (DS)**
  • TTTC3313 Principles of Data Science (DS)**
  • TTTK3813 Digital Media Processing Techniques (IM)
  • TTTC3413 Robot Applications (IM)
  • TTTC2273 Soft Computing (IM)
  • TTTK2323 Mobile Programming (ST/NT)
  • TTTR2013 Introduction to Numerical Computing (ST)
  • TTTN3223 Network Programming (ST/NT)
  • TTTN3513 Computer and Network Security (NT)
  • TTTR3163 Internet of Things (IM)
  • TTTC3283 Data Mining (DS)**
  • TTTP2743 Semantic Technology (DS)**
  • TTTK4013 System Administration (ST)
  • TTTN3533 Network, Security and Enterprise Automation (NT)
    		•
    Total 122 Credits

    Starting 2024 / 2025

    Structure Course Credit Course
    Faculty Compulsory 5 credits MUET Band 3
  • LMCE1062 Academic Interactions
  • LMCE2082 Pro Talk English
  • LMCE3061 Corporate Storytelling

    • MUET Band 4
  • LMCE1072 Academic Literacys
  • LMCE2092 Speak to Persuade
  • LMCE3071 Professional Communication

    • MUET Band 5 & 6
  • LMCE1082 Page to Stage
  • LMCE2103 Advanced Communication Project
    		•
    Compulsory Citra 10 credits
  • LMCW2143 Philosophy and Current Issues
  • LMCW2153 Appreciation of Ethics and Civilizations
  • LMCW1022 Fundamentals of Entrepreneurship Innovation
  • LMCW2152 Integrity and Anti-Corruption
    		•
    University Citra 12 credits

    Students must complete 12 credits of University Citra courses, with the minimum credit requirements for each Citra domain listed in the table below

    Citra Domain Minimum Credit
  • C1 Language and Communication Literacy
  • C2 Critical and Design Thinking
  • C3 Arts, Culture & Civilization
  • C4 Science, Technology and Health Literacy
  • C5 Entrepreneurship and Social Responsibility
  • C6 Personal Competence and Teamwork
    		•  2
    2
    2
    2
    2
    2
    Core 74 credits
  • TTTK1113 Computer Programming
  • TTTR1333 Discrete Mathematics
  • TTTT1113 System Analysis and Design
  • TTTK1153 Computer Organization and Architecture
  • TTTE1113 Software Engineering Concepts
  • TTTT1213 Databases
  • TTTK3033 Operating Systems
  • TTTK2103 Computer Network Technology
  • TTTT1133 Computer Ethics
  • TTTK3123 User Experience Design
  • TTTM2113 Web Development
  • TTTK2223 Theory of Computer Science
  • TTTT1221 Digital Innovation
  • TTTK2313 Artificial Intelligence
  • TTTK1233 Object Oriented Programming
  • TTTK2233 Cyber ​​Security
  • TTTT2111 Digital Communities
  • TTTK2173 Data Structures and Algorithms
  • TTTK3213 Parallel Programming
  • TTTK3043 Algorithm Design and Analysis
  • TTTT3113 Project Proposal
  • TTTT3215 Project
  • TTTT411A Industrial Training
    		•
    Elective

    Track:

    IM – Intelligent Machine

    ST – Software Technology

    NT – Network Technology

    DS – Data Science

    		 24 credits (based on each Track Courses)

    Choose courses based on track from the following list:

  • TTTC2453 Machine Learning (IM/DS)
  • TTTP2043 Fundamentals of Text Processing and Analytics (DS)
  • TTTC2343 Intelligent Robot System (IM)
  • TTTK2053 Programming Paradigms (ST/NT)
  • TTTK3163 Compiler Construction (ST)
  • TTTK2133 Data Communication and Telecommunication (NT)
  • TTTC3313 Principles of Data Science (DS & IM)
  • TTTP2633 Natural Language Computing (DS & IM)
  • TTTC3213 Data Engineering (DS & IM)
  • TTTP3053 Web Search and Suggesting Systems (DS)
  • TTTC3143 Soft Computing (IM)
  • TTTM3223 Cloud Computing (ST)
  • TTTN2423 Switching, Routing and Wireless (NT)
  • TTTM2213 Mobile Application Programming (ST/NT)
  • TTTN3223 Network Programming (ST/NT)
  • TTTN3133 Secure Programming (ST/NT)
  • TTTC3283 Data Mining (DS)
  • TTTP2743 Semantic Technology (DS)
  • TTTC3233 Speech Processing (IM)
  • TTTC3153 Digital Image Processing (IM)
  • TTTN3533 Network, Security and Enterprise Automation (NT)
  • TTTK4013 System and Network Administration (ST)
  • TTTN3213 Digital Forensics (NT)
  • TTTN3253 Blockchain Application Development (ST)
    		•
    Total 125 Credits