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MS Artificial Intelligence

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Program Overview

Credit Hours
30
Duration
4 Semesters (2 years)
Semesters
4
Attendance
Full-time

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 at TUF?

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.

Key Skills You Will Master

Machine Learning
Deep Learning Basics
AI Research Methods
Data Modeling
Computer Vision Concepts
Scientific Writing

Career Outcomes

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

Program Roadmap

Explore courses roadmap in MS Artificial Intelligence

Course Code Course Title Nature Prerequisite Credit Hours
- APPLIED PROGRAMMING 1 - - Non-Credit
- ADVANCED ARTIFICIAL INTELLIGENCE - - 3-0
- MATHEMATICAL FOUNDATIONS AI - - 3-0
- GENERAL ELECTIVE COMPUTING MG - - 3-0
- ELECTIVE I - - 3-0
Total Credit Hours 12
Course Code Course Title Nature Prerequisite 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 Credit Hours 12
Course Code Course Title Nature Prerequisite Credit Hours
No courses available for this semester.
Total Credit Hours 30
Course Code Course Title Nature Prerequisite 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 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)
Total Credit Hours 141

Admissions & Eligibility

GAT(General)TUF entry test with 50% marks

Next Steps
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FAQs

It is a two-year postgraduate program that teaches students to design intelligent systems and apply machine learning to real-world challenges.

Students with a BS degree in Computer Science, IT, Software Engineering, or related fields are eligible.

You’ll gain skills in machine learning, deep learning, natural language processing, AI system development, and data-driven decision making.

Graduates can work as AI Engineers, Data Scientists, Machine Learning Specialists, NLP Experts, or pursue research roles in AI innovation labs.

Yes, the program emphasizes hands-on labs, real-world projects, thesis work, and access to industry-standard AI tools and software.