COMSATS University Islamabad
Registrar Office, Principal Seat, Islamabad
***

NOTIFICATION

Scheme of Studies of Master of Science in Artificial Intelligence Engineering for Fall 2025

It is Hereby notified that the Academic Council in its 13th Meeting held on June 04, 2012 approved the following Scheme of studies of the Master of Science in Artificial Intelligence Engineering, MSAI with effect from at CIIT system.
1. Minimum Duration: 2 Years
2. Minimum Semesters: 4
2. Maximum Duration: 4 Years
4. Maximum Semesters: 8 
Course WorkMin No. of Courses
Course Types not Added Yet

Note:

  • Students are required to complete their academic programs in strict adherence to the applicable and officially notified Schemes of Studies (SoS). All updated rules, regulations, and policies, as periodically amended, shall be enforced.
  • Prior to course registration, the Campus Registration Office must conduct a thorough consolidation and comparison between the hard copies of the signed notifications of the applicalbe Scheme of Studies and the versions uploaded on CU Online. This verification process must be completed before courses are made available for student registration, ensuring the elimination of any discrepancies or errors in the SoS or during the registration process.Should any discrepancies or mismatches be identified between the hard copy of the signed notifications and the SoS on CU Online, it must be got corrected from Registration Office, PS on the CU Online SoS to align with the officially signed hard copy prior to course offering.
  • This procedure is designed to address and rectify potential issues at the course registration stage, thereby preventing complications during the awarding of degrees or the issuance of Final Result Notifications(FRNs) at CUI System.In the event that any course is registered with incorrect details, the responsibility will lie with the concerned campus course registration office, and appropriate corrective actions will be enforced.
    •
        Credit Hours : Please provide total credit hours for this scheme from manage course schemes





    Core Courses Core Courses MS
    Course CodeCourse TitleCredit HoursCo-requisite(s)Prerequisite (s)
    1 HUM701 Understanding of Holy Quran – I (Fehm-e-Quran–I) 1(0, 1)
    2 HUM702 Understanding of Holy Quran – II (Fehm-e-Quran–II) 1(0, 1)
    List of Core Courses
    Course CodeCourse TitleCredit HoursCo-requisite(s)Prerequisite (s)
    3 AIE713 Machine Learning for Engineering Design 3(3, 0)
    4 EEE610 Engineering Mathematics 3(3, 0)
    List of Elective Courses
    Course CodeCourse TitleCredit HoursCo-requisite(s)Prerequisite (s)
    5 AIC601 Statistical Learning Theory 3(3, 0)
    6 AIC613 Advanced Machine Learning 3(3, 0)
    7 AIC651 Multi-Agent Systems 3(3, 0)
    8 AIC654 Advanced Pattern Recognition 3(3, 0)
    9 AIC655 Reinforcement Learning 3(3, 0)
    10 AIC662 Evolutionary Computing 3(3, 0)
    11 AIC665 Ethical issues in Artificial Intelligence 3(3, 0)
    12 AIE703 Principles of Programming for Artificial Intelligence 3(3, 0)
    13 AIE714 Hardware Arithmetic for Machine Learning 3(3, 0)
    14 AIE715 Intelligent Mechatronics Systems 3(3, 0)
    15 AIE716 Artificial Intelligence for Digital Design 3(3, 0)
    16 AIE718 Intelligent Manufacturing and Industry 4.0 3(3, 0)
    17 AIE719 FPGA design for Machine Learning Techniques 3(3, 0)
    18 AIE721 Cyber-Physical Systems 3(3, 0)
    19 AIE722 Neuromorphic Computing 3(3, 0)
    20 AIE729 Time Series Analysis 3(3, 0)
    21 AIE731 Artificial Intelligence in Water Resources and Hydrology 3(3, 0)
    22 AIE732 Artificial Intelligence for Materials Quality Control & Monitoring 3(3, 0)
    23 AIE734 Intelligent Fault Diagnosis and Prognosis 3(3, 0)
    24 AIE735 Artificial Intelligence Applications in Healthcare 3(3, 0)
    25 AIE736 Artificial Intelligence-based Design and Manufacturing of Mechanical Systems 3(3, 0)
    26 AIE737 Applied Machine Learning for Mechanical Engineers 3(3, 0)
    27 AIE738 Intelligent Crypto Systems 3(3, 0)
    28 AIE739 Human-Robot Interaction 3(3, 0)
    29 AIE746 Distributed Machine Learning 3(3, 0)
    30 AIE747 Artificial Intelligence in Smart Grids 3(3, 0)
    31 AIE749 Applied Estimation, Detection and Prediction 3(3, 0)
    32 AIE750 Autonomous Systems 3(3, 0)
    33 AIE757 Random Processes 3(3, 0)
    34 AIE762 Artificial Intelligence and Renewable Energy 3(3, 0)
    35 AIE764 Intelligent Power Transmission and Distribution Systems 3(3, 0)
    36 AIE766 Path Planning and Motion Control 3(3, 0)
    37 AIE782 Explainable Artificial Intelligence 3(3, 0)
    38 AIE784 Advanced Topics in AI Engineering I 3(3, 0)
    39 AIE785 Advanced Topics in AI Engineering II 3(3, 0)
    40 DSC606 Deep Learning 3(3, 0)
    41 ECI663 Robotics 3(3, 0)
    42 ECI670 Neural and Fuzzy Systems 3(3, 0)
    43 ECI743 Computer Vision 3(3, 0)
    44 ECI761 Intelligent Control Systems 3(3, 0)
    45 ECI770 Intelligent Systems 3(3, 0)
    46 EEE615 Probabilistic Learning: Theory and Algorithms 3(3, 0)
    47 EEE616 Optimization Theory 3(3, 0)
    48 EEE621 Modeling and Simulation 3(3, 0)
    49 EEE632 Research Methods 3(3, 0)
    50 EEE690 Industrial Project-I 3(3, 0)
    51 EEE720 Modern Data Analysis Methods 3(3, 0)
    52 ETN789 Internet of Things (IoT) 3(3, 0)
    MS with Non-Thesis Option:
    Course CodeCourse TitleCredit HoursCo-requisite(s)Prerequisite (s)
    53 AIE600 MS Project/Report* 3(0, 3)
    MS with Thesis Option:
    Course CodeCourse TitleCredit HoursCo-requisite(s)Prerequisite (s)
    54 AIE800 MS Thesis 6(0, 6)



    Note:

    1. MS students can enroll only in courses numbered 600-700, except the MS Thesis 800.
    2. For MS programs, If the number of core courses exceeds 2, the number of elective courses will decrease accordingly. For instance, a program with 3 core courses will have 5 elective courses to fulfill the required 24 credit hours of coursework.
    3. PhD students can take courses numbered 700 - 800, except the PhD dissertation 900.4. If a PhD program has more than 1 core course, elective course numbers will decrease accordingly.For instance, with 2 core courses, there would be 4 electives to meet the 18 - credit hour requirement.
    5. Furthermore, courses completed during the MS program will not count towards the PhD program's requirements, preventing any duplication or repetition of coursework.
    6. Core courses for one MS program, may be considered as Elective Courses for all other programs.
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