Master of Science in Artificial Intelligence

MSAI

COURSE FACT

STUDY LEVEL STUDY NOTE PROGRAM DURATION CREDITS HOURS

Post Graduate

Full-Time

4 Semesters (2 years)

30

Eligibility Criteria

GAT(General)TUF entry test with 50% marks

ADP Digital Media and Broadcast Journalism

ADP Medical Imaging Sciences

ADP Nutrition and Dietetics Sciences

Master of Science in Medical Laboratory Sciences

PhD Urdu

MPhil Urdu

ADMISSIONS

OPEN 2024

OBJECTIVES

  • To provide advanced knowledge and skills in emerging fields of Artificial Intelligence
  • To prepare students for most emerging areas of AI, like generative AI
  • To foster innovation and research in various areas of computer science
  • To equip students with the ability to solve complex computing problems

ROLE AND SCOPE

  • Graduates can pursue careers in natural language processing, data analysis, generative AI, and more
  • Opportunities to work in diverse industries including IT, finance, healthcare, and education
  • Foundation for further academic pursuits such as PhD in Computer Science
  • Potential roles include natural language processing, computer vision,  and research scientist

Semester I

Course Code Course Title Credit Hours
  Applied Programming 1 NC
  Advanced Artificial Intelligence 3+0
  Mathematical Foundations of AI 3+0
  General Elective (Computing / MG) 3+0
  Elective-I 3+0
  Total 12

Semester II

Course Code Course Title Credit Hours
CS-XXX Advanced Machine Learning 3+0
CS-XXX Elective-II 3+0
CS-XXX Elective-III 3+0
CS-XXX Research Methodology 3+0
  Total 12

Semester III & IV

Course Code Course Title Credit Hours
CS-720 Thesis OR courses. In case a student is not opting research work, s/he will be required to enroll two elective courses of 6 credit hours in lieu of thesis. However, s/he shall not be eligible to seek admission in PhD. 6(0-6)
  Total 6
  Grand Total 30

 

Note: Applied Programming course is of No Credit (NC), but it must be passed.

Registration in "MS Thesis/ Project — I" is allowed provided the student has

  • Earned at least 15 credits
  • Passed the “Research Methodology” course
  • CGPA is equal to or more than 2.5

MS (AI) List of Elective Courses

Course Code Course Title Credit Hours
CS-721 Advanced Human-Computer Interaction 3(3-0)
CS-722 Advanced Requirements Engineering 3(3-0)
CS-723 Advanced Software Project Management 3(3-0)
CS-724 Advanced Software System Architecture 3(3-0)
CS-725 Advanced Topics in Applied Cryptography 3(3-0)
CS-726 Agile Software Development 3(3-0)
CS-727 Agent Based Modeling 3(3-0)
CS-728 Advance Machine Learning 3(3-0)
CS-729 Applied Cryptography 3(3-0)
CS-730 Recent Emerging Technologies 3(3-0)
CS-731 Artificial Neural Networks 3(3-0)
CS-732 Component Based Software Engineering 3(3-0)
CS-733 Cryptography 3(3-0)
CS-734 Database Security 3(3-0)
CS-735 Tools and Techniques in Data Science 3(3-0)
CS-736 Distributed Data Processing 3(3-0)
CS-737 Empirical Software Engineering 3(3-0)
CS-738 Statistical and Mathematical Methods For Data Science 3(3-0)
CS-739 Big Data Analytics 3(3-0)
CS-740 Advance Computer Networks 3(3-0)
CS-741 Selected Topics in Blockchain 3(3-0)
CS-742 Complex Networks 3(3-0)
CS-743 Quantum Cryptography 3(3-0)
CS-744 Reliability Engineering 3(3-0)
CS-745 Requirements Engineering 3(3-0)
CS-746 Security Management 3(3-0)
CS-747 Security Testing 3(3-0)
CS-748 Software Configuration Management 3(3-0)
CS-749 Information Privacy and Security 3(3-0)
CS-750 Software Process Management & Metrics 3(3-0)
CS-751 Software Project Management 3(3-0)
CS-752 Business Intelligence 3(3-0)
CS-753 Software Testing and Quality Assurance 3(3-0)
CS-754 Software Measurement and Metrics 3(3-0)
CS-755 Selected Topics in Cyber Security 3(3-0)
CS-756 Trusted Computing 3(3-0)
CS-757 Wireless Security 3(3-0)
CS-758 Natural Language Processing 3(3-0)
CS-759 Advance Network Security and Cryptography 3(3-0)
CS-760 Advance Simulation and Modeling 3(3-0)
CS-761 Software Risk Management 3(3-0)
CS-762 Management & Organizational Behavior 3(3-0)
CS-763 Selected Topics in Wireless Sensor Networks 3(3-0)
CS-764 Deep Learning 3(3-0)
CS-765 Selected Topics in Software Defined Networks 3(3-0)
CS-766 Advance Topics in Cloud Computing 3(3-0)
EE-734 Advanced Digital Image Processing 3(3-0)