Master of Science (MS) in Cloud Computing

Program Description

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.

Why Study at PAF IAST?

Location and Ambience

PAF IAST is nestled in natural mountains that flank its campus from all sides. The institute offers one  ravishing view of snow-capped peaks of Nathiagali and natural winding trails. Furthermore, to its north-west is Tarbela Lake, a journey of only a few kilometers from the campus. Moreover, set in the middle of the campus is a natural lake, fed by the springs of surrounding mountains. The campus is just a 3-kilometer drive from the Hazara Motorway. This results in an ideal setting equally conducive to academic activity. Most importantly, major cities like Islamabad, Abbottabad, are just an hour’s drive, while small towns like Wah, Hasanabadal, Taxila, and Swabi can be reached in just half an hour. All these features make this the best opportunity to get  Computer Sciences admissions in KPK. 

Technology Advancement and Foreign Partnership

This institute is an emerging center of excellences, with its own technology park. Therefore, all faculty members hold PhD degrees in appropriate disciplines. By virtue of its wide array of facilities and the facilitation for its students to learn. Furthermore, they benefit both from classroom teaching and faculty trained at premier Austrian universities/institutions. The institution is ideally cut out for imparting state-of–the-art engineering and allied education in Pakistan. Moreover, the institute enjoys close linkages with top ranking universities in Austria and China. As a result, we have already concluded with them formal agreements regarding student and faculty exchange programs, provision of dual degrees in certain areas, and the training support from foreign faculty. 

Academia-Industry Relationship

There is a strong relationship between academia and industry. As a result, this paves the way for job opportunities for students even in the midst of their studies. PAF IAST will serve as a welcome platform for the industry to share their requirements for a skilled workforce. Therefore, this will enable the institute to incorporate their valuable inputs in practical vocational training and expose the students to industrial perspectives.

On-Spot Industry Internship

Firstly, it will be a mandatory requirement for every student to do an internship every semester in an appropriate industry. Secondly, this will garner them practical experience related to their respective degree programs. To crown it all, Technology Park will afford them rare opportunities to apply themselves innovatively and become promising entrepreneurs.

Need and Merit-based Scholarships

Different types of local and foreign scholarship opportunities are available on need and merit base.

Associated Careers

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 Requirements

Entry Requirement for MS Cloud Computing:

  1. Bachelor education (i.e., minimum 130 credit hours)/ Equivalent Sixteen-years education in the respective subject from HEC recognized institutions is a prerequisite for admission to all MS programs.
  2. Candidates with a foreign degree equivalent to Bachelor program are also eligible for admission in MS, however they need to obtain HEC equivalence certificate.
  3. Candidates must have passed GRE/GAT/PAF-IAST MET with minimum 50% marks.

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                                    

MS Cloud Computing Course Curriculum

Semester 1

 

Code

Course Title

Credit Hours

Labs

Total

1

SS-821

Research Methodology

2NG

 

 

2

COMP-XXX

Core Course I

3

 

3

3

COMP-XXX

Core Course II

3

 

3

4

COMP-XXX

Core Course III

3

 

3

 

 

·       Non-credit course (compulsory) with 2 contact hours

 

 

 

 

 

Total Credit Hours

9

 

9

 

Semester 2

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-XXX

Core Course IV

3

 

3

2

COMP-XXX

Elective I

3

 

3

3

COMP-XX

Elective II

3

 

3

 

 

Total Credit Hours

9

 

9

 

Semester 3

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-899

MS Research work

3

 

3

2

COMP-XXX

Elective-III

3

 

3

3

 

Total Credit Hours

6

 

6

Semester 4

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-XXX

Elective-IV

3

 

3

2

COMP-900

MS Thesis

3

 

3

 

 

Total Credit Hours

6

 

6

Specialized and Elective Courses

 

 

Specialized Core Courses:

 

 

 

1

COMP-866

Cloud architecture and Administration

3

 

3

2

COMP-867

Containers and Virtualization

 3

 

 3

3

COMP-868

Cloud Design and Development

 3

 

 3

4

COMP-869

Cloud Storage and Databases

 3

 

3

5

COMP-862

Cloud Computing and Distributed Systems

3

 

3

 

 

 

 

 

 

 

 

Elective Courses

 

 

 

1

COMP-960

Architecting Cloud Solutions

3

 

3

2

COMP-877

Agile Development Methods

3

 

3

3

COMP-961

Cloud Networks

3

 

3

4

COMP-994

Cloud Security and Privacy

3

 

3

5

COMP-833

Advanced Big Data Analytics

3

 

3

6

COMP-963

Mobile Cloud Computing

3

 

3

7

COMP-964

Open-Source Cloud Infrastructure

3

 

3

8

COMP-965

Serverless Development

3

 

3

9

COMP-966

Cloud Services and Technologies

3

 

3

10

COMP-967

Edge Computing

3

 

3

11

COMP-946

AI & Machine Learning in Cloud

3

 

3

Salient Features of MS Cloud Computing:

The salient features of MS in Cloud Computing typically include:

Cloud Solutions Architect

Cloud Systems Administrator

Cloud Security Specialist

Cloud DevOps Engineer

Cloud Data Engineer/Architect

Cloud Network Engineer

Cloud Consultant

Researcher/Academic