The Master of Science (MS) in Artificial Intelligence program offers a comprehensive exploration of artificial intelligence (AI) theories, methodologies, and applications. Through a combination of rigorous coursework and practical projects, students gain expertise in areas such as machine learning, deep learning, natural language processing, and computer vision. With a focus on both theoretical foundations and real-world problem-solving, graduates are equipped to spearhead innovations across industries, from developing advanced AI algorithms to creating intelligent systems that enhance decision-making and automation.
Cloud Solutions Architect, Cloud Systems Administrator, Cloud Security Specialist, Cloud DevOps Engineer, Cloud Data Engineer/Architect, Cloud Network Engineer, Cloud Consultant and Researcher/Academic
Entry Requirement for MS Cloud Computing:
Semester Wise Duration of Degree:
Minimum: 3 semesters
Maximum: 8 Semesters
Years wise Duration of Degree:
Minimum: 1 ½ Years
Maximum: 4 Years
Minimum Credit Hours requirement for the degree: 32 CHs                                   Â
 | Code | Course Title | Credit Hours | Labs | Total |
1 | SS-821 | Research Methodology | 2NG | Â | Â |
2 | COMP-XXX | Core Course I | 3 | Â | 3 |
3 | COMP-XXX | Core Course II | 3 | Â | 3 |
4 | COMP-XXX | Core Course III | 3 | Â | 3 |
 |  | ·      Non-credit course (compulsory) with 2 contact hours |  |  |  |
 |  | Total Credit Hours | 9 |  | 9 |
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 | Code | Course Title | Credit Hours | Labs | Total |
1 | COMP-XXX | Core Course IV | 3 | Â | 3 |
2 | COMP-XXX | Elective I | 3 | Â | 3 |
3 | COMP-XX | Elective II | 3 | Â | 3 |
 |  | Total Credit Hours | 9 |  | 9 |
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 | Code | Course Title | Credit Hours | Labs | Total |
1 | COMP-899 | MS Research work | 3 | Â | 3 |
2 | COMP-XXX | Elective-III | 3 | Â | 3 |
3 | Â | Total Credit Hours | 6 | Â | 6 |
 | Code | Course Title | Credit Hours | Labs | Total |
1 | COMP-XXX | Elective-IV | 3 | Â | 3 |
2 | COMP-900 | MS Thesis | 3 | Â | 3 |
 |  | Total Credit Hours | 6 |  | 6 |
 |  | Specialized Core Courses: |  |  |  |
1 | COMP-866 | Cloud architecture and Administration | 3 | Â | 3 |
2 | COMP-867 | Containers and Virtualization | Â 3 | Â | Â 3 |
3 | COMP-868 | Cloud Design and Development | Â 3 | Â | Â 3 |
4 | COMP-869 | Cloud Storage and Databases | Â 3 | Â | 3 |
5 | COMP-862 | Cloud Computing and Distributed Systems | 3 | Â | 3 |
 |  |  |  |  |  |
 |  | Elective Courses |  |  |  |
1 | COMP-960 | Architecting Cloud Solutions | 3 | Â | 3 |
2 | COMP-877 | Agile Development Methods | 3 | Â | 3 |
3 | COMP-961 | Cloud Networks | 3 | Â | 3 |
4 | COMP-994 | Cloud Security and Privacy | 3 | Â | 3 |
5 | COMP-833 | Advanced Big Data Analytics | 3 | Â | 3 |
6 | COMP-963 | Mobile Cloud Computing | 3 | Â | 3 |
7 | COMP-964 | Open-Source Cloud Infrastructure | 3 | Â | 3 |
8 | COMP-965 | Serverless Development | 3 | Â | 3 |
9 | COMP-966 | Cloud Services and Technologies | 3 | Â | 3 |
10 | COMP-967 | Edge Computing | 3 | Â | 3 |
11 | COMP-946 | AI & Machine Learning in Cloud | 3 | Â | 3 |