MS 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

INTRODUCTION

The MS Artificial Intelligence at TUF is a two-year postgraduate degree designed to create the next generation of tech innovators. This program goes beyond basic coding to focus on how machines can mimic human intelligence to solve global challenges. It is ideal for professionals who want to lead in fields like robotics, smart healthcare, and automated business systems.

WHY CHOOSE MS ARTIFICIAL INTELLIGENCE?

Choosing this master’s program at TUF connects you with advanced research and the latest AI technologies in a highly professional setting.

  • Access to specialized AI labs for training complex deep learning and neural network models.
  • Guidance from expert researchers who are pioneers in automation and smart systems.
  • A curriculum that evolves with the industry, covering Generative AI and advanced robotics.
  • Opportunities to work on real-world datasets provided by our affiliated medical and industrial partners.
  • A research-focused environment that helps you publish original AI solutions in top-tier journals.

OBJECTIVES

  • Grasping advanced mathematical models that power modern machine learning algorithms.
  • Leading the development of smart applications that can see, hear, and talk like humans.
  • Innovating new ways to use AI for solving critical problems in medicine and finance.
  • Mastering the ethical side of AI to ensure technology is safe and fair for everyone.
  • Polishing research skills to contribute fresh ideas to the global artificial intelligence community.

CAREER SCOPE AND OPPORTUNITIES

Graduates can pursue careers as:

  • Senior AI Solution Architect
  • Machine Learning Research Scientist
  • NLP (Natural Language Processing) Specialist
  • Computer Vision Engineer
  • Chief Technology Officer (CTO) in tech startups

PRACTICAL TRAINING, INTERNSHIPS & RESEARCH EXPOSURE

  • Completing an original research thesis that focuses on an unsolved problem in AI.
  • Specialized training in cloud-based AI platforms and high-level programming tools.
  • Participating in global AI hackathons and technical seminars held at the university.
  • Hands-on experience with industry-standard frameworks like PyTorch, Keras, and TensorFlow.

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)

What is MS Artificial Intelligence at TUF?
It is a two-year postgraduate program that teaches students to design intelligent systems and apply machine learning to real-world challenges.
Who can apply for MS Artificial Intelligence?
Students with a BS degree in Computer Science, IT, Software Engineering, or related fields are eligible.
What will I learn in this program?
You’ll gain skills in machine learning, deep learning, natural language processing, AI system development, and data-driven decision making.
What careers are available after completing MS Artificial Intelligence?
Graduates can work as AI Engineers, Data Scientists, Machine Learning Specialists, NLP Experts, or pursue research roles in AI innovation labs.
Does the program include practical training and research?
Yes, the program emphasizes hands-on labs, real-world projects, thesis work, and access to industry-standard AI tools and software.

BS-Speech and Language Pathology

ADP Speech Language and Pathology

ADP HUMAN NUTRITION AND DIETETICS

MS MEDICAL LABORATORY SCIENCES

PHD URDU

MPHIL URDU

ADMISSIONS

OPEN 2025