MS Computer science
The Master of Science (MS) in Computer Science program at Allama Iqbal Open University (AIOU) is designed to provide students with advanced knowledge and skills in the field of computer science, with a particular focus on Artificial Intelligence (AI). This program aims to equip students with a strong theoretical foundation and practical expertise in AI, enabling them to tackle complex challenges in the rapidly evolving technological landscape. The curriculum covers a range of topics such as machine learning, data mining, natural language processing, and computer vision.
Students engage in hands-on projects and research activities to apply their knowledge and develop innovative solutions. The MS in Computer Science at AIOU is structured to meet the demands of the industry, preparing graduates for successful careers in AI research, development, and application across various sectors.
MS Computer science from aiou
Allama Iqbal Open University (AIOU) has been at the forefront of providing accessible and quality education to students in Pakistan and beyond. A good composition of courses and research work has been prepared to add professionalism among research students in the field of Computer Science.
1. Advanced Algorithms
In-depth study of advanced
algorithms and data structures, including analysis and implementation.
2. Machine Learning
Fundamental concepts of machine
learning, including supervised and unsupervised learning, algorithms, and
applications.
3. Natural Language Processing (NLP)
Understanding and processing
human language using computational methods, covering topics like text mining,
sentiment analysis, and language modeling.
4. Computer Vision
Study of techniques for enabling
machines to interpret and understand visual information from the world,
including image and video processing.
5. Data Mining and Knowledge Discovery
Techniques for extracting
valuable knowledge from large datasets, including data preprocessing, pattern
recognition, and clustering.
6. Deep Learning
Exploration of neural networks,
deep neural architectures, and their applications in solving complex problems.
7. Artificial Intelligence Ethics and Governance
Discussion on ethical
considerations and governance frameworks related to AI technologies.
8. Research Methods in Computer Science
Training in research
methodologies, including literature review, research design, and data analysis.
Admission Requirements / Eligibility Criteria
A candidate is eligible to apply for MS (Computer Science) program having any of the following criteria from HEC recognized university/institute (with minimum 60% marks) Master’s degree in Computer Science/Information Technology/Software Engineering (16 years). Four years’ bachelor degree in Computer Science/Information Technology/Software Engineering (16 years) with minimum 130 credit hours
Curriculum / Courses of aiou
1. Reinforcement Learning
Study of reinforcement learning algorithms and their applications in decision-making processes.
2. Robotics
Introduction to robotics and the integration of AI techniques for autonomous systems.
3. Big Data Analytics
Handling and analyzing large-scale datasets using advanced analytics tools and techniques.
4. Internet of Things (IoT)
Exploration of the integration of AI with IoT technologies.
5. Cybersecurity in AI Systems
Understanding security challenges and solutions in AI-driven applications.
Semester: 1
1. Theory Of Computation-5700
2. Advanced Algorithm-5701
3. Research Study-5703
4. Elective-I-null
Semester: 2
1. Elective-II-null
2. Elective-III-null
3. Elective-IV-null
4. Elective-V-null
Semester: 3
1. Thesis Part-I-5745
Semester: 4
1. Thesis Part-II-5745
Elective courses / Major Courses
1. Distributed System-5702
2. Object Oriented Software Engineering-5704
3. Software Project Management-5705
4. Software Quality Assurance-5706
5. Software Engineering Laboratory-5707
6. Advanced Topics in Software Engineering-5708
7. Advanced Computer Networks-5709
8. Data Security and Encryption-5710
9. Advanced Network Security-5711
10. Distributed Database-5715
11. Data Warehousing and Mining-5716
12. Information System Security-5717
13. Case Tools & Applications-5718
14. Advanced Topics in DBMS-5719
15. Web Based Education System-5725
16. Computer Aided Instructions-5726
17. Measurement of Learning-5727
18. Interactive Web Systems-5728
19. Advanced Topics in Computer Science Edu.-5729
20. Topics in Digital Signal Processing-5733
21. Internet Service Planning-5735
22. E-Commerce Application-5736
23. Advanced Topics in ITM-5737
24. Advance Computer Vision -NULL
25. Advance Virtual Reality-NULL
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