Master of Science (MS) in Artificial Intelligence

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

The career path for graduates with an MS in Artificial Intelligence is diverse and dynamic, offering opportunities in various industries and roles. Some common career paths include:

AI Researcher, Machine Learning Engineer, Data Scientist, AI Software Developer, AI Consultant, Natural Language Processing (NLP) Engineer, Computer Vision Engineer, AI Ethics and Policy Analyst, These associated career paths offer opportunities for growth, specialization, and impact, allowing graduates to contribute to the advancement of AI and make meaningful contributions to society and industry.

Entry Requirements

Entry Requirement for MS Software Engineering:

  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 Artificial Intelligence Course Curriculum

Semester 1

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-830

Tools and Techniques for Data Science

2

1

3

2

COMP-842

Advanced Machine Learning

3

 

3

3

 

Elective-I

3

 

3

 

 

 

 

 

 

 

 

·        

 

 

 

 

 

Total Credit Hours

9

 

9

 

Semester 2

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-844

Advanced Deep Learning

3

 

3

2

COMP-XXX

Elective II

3

 

3

3

COMP-XX

Elective III

3

 

3

 

 

Total Credit Hours

9

 

9

Semester 3

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-898

MS Research work

3

 

3

2

COMP-XXX

Elective-IV

3

 

3

3

 

Total Credit Hours

6

 

6

Semester 4

 

Code

Course Title

Credit Hours

Labs

Total

1

COMP-XXX

Elective-V

3

 

3

2

COMP-899

MS Thesis

3

 

3

 

 

Total Credit Hours

6

 

6

Specialized and Elective Courses

 

 

Specialized Core Courses:

 

 

 

1

COMP-844

Advanced Machine Learning

3

 

3

2

COMP-845

Advanced Deep learning

 3

 

 3

3

COMP-830

Tools and Techniques for Data Science

 2

 1

 3

 

 

 

 

 

 

 

 

Elective Courses

 

 

 

1

COMP-846 

Advanced Expert and Recommender Systems

3

 

3

2

COMP-940 

Computer Vision and Pattern Identification 

3

 

3

3

COMP-832 

Advanced Information Retrieval 

3

 

3

4

COMP-833 

Advanced Big Data Analytics 

3

 

3

5

COMP-834 

Advanced Data Visualization  

3

 

3

6

COMP-840 

Statistical and Mathematical Methods for Data Analysis 

3

 

3

7

COMP-841 

Machine Learning for Data Science 

3

 

3

8

COMP-843 

Advanced Artificial Neural Network 

3

 

3

9

COMP-845 

Advanced Natural Language Processing  

3

 

3

10

COMP-847 

Advanced Digital Image Processing  

3

 

3

11

COMP-848 

Advanced Knowledge Representation and Reasoning 

3

 

3

12

COMP-849 

Computational Intelligence and IoT 

3

 

3

13

COMP-941 

AI for Biomedical Engineering 

3

 

3

14

COMP-942 

AI in Smart Energy Systems 

3

 

3

15

COMP-943 

Distributed Data Processing and Machine Learning 

3

 

3

16

COMP-990 

Advanced Topics in Computing 

3

 

3

17

COMP-831

Knowledge Engineering  

3

 

3

Salient Features of MS Artificial Intelligence:

The salient features of a MS in AI typically include:

Comprehensive Curriculum

Hands-On Experience

Expert Faculty

Cutting-Edge Research Opportunities

Interdisciplinary Approach

Industry Relevance

Networking Opportunities

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