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M-TECH in Artificial Intelligence Robotics at Indian Institute of Technology Guwahati
Kamrup, Assam
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About the Specialization
What is Artificial Intelligence & Robotics at Indian Institute of Technology Guwahati Kamrup?
This Robotics and Artificial Intelligence Interdisciplinary Program at IIT Guwahati focuses on converging advanced concepts from AI, Machine Learning, Robotics, and Control Systems. It is designed to address the growing demand for skilled professionals in India''''s rapidly evolving automation and intelligent systems sectors. The program''''s interdisciplinary nature provides a comprehensive understanding of theoretical foundations and practical applications.
Who Should Apply?
This program is ideal for engineering graduates from disciplines like CSE, ECE, EEE, Mechanical, Mechatronics, and Biotechnology, as well as M.Sc. holders in Math, Physics, and Computer Science. It caters to fresh graduates aspiring for cutting-edge roles and working professionals seeking to upskill in areas critical for the future of Indian manufacturing, healthcare, and software industries.
Why Choose This Course?
Graduates of this program can expect promising career paths in leading Indian and multinational companies involved in AI research, robotics development, industrial automation, and data science. Entry-level salaries typically range from INR 8-15 LPA, with significant growth trajectories for experienced professionals. The curriculum prepares students for roles such as AI Scientist, Robotics Engineer, Machine Learning Engineer, and Automation Specialist.
Student Success Practices
Foundation Stage
Strengthen Core ML and Robotics Fundamentals- (Semester 1-2)
Dedicate significant time in Semesters 1 and 2 to master foundational courses like Applied Machine Learning, Introduction to Robotics, Data Structures and Algorithms, and Computational Intelligence. Actively participate in problem-solving sessions and utilize online platforms for additional practice.
Tools & Resources
Coursera/edX for specialized courses, GeeksforGeeks/LeetCode for DSA, NPTEL lectures on ML/Robotics, Peer study groups
Career Connection
A strong grasp of fundamentals is critical for cracking technical interviews at top Indian tech companies and forms the bedrock for advanced research and projects.
Hands-on Lab Experience and Mini-Projects- (Semester 1-2)
Beyond coursework, actively engage in the Robotics and AI Laboratory (RAI506) and undertake mini-projects to apply theoretical knowledge. Focus on building small functional prototypes or implementing AI algorithms from scratch. Document all project work meticulously.
Tools & Resources
Python, C++, ROS (Robot Operating System), OpenCV, TensorFlow/PyTorch, GitHub for version control
Career Connection
Practical skills are highly valued in the Indian industry. Demonstrable projects enhance resumes and provide talking points during interviews for roles in product development and R&D.
Participate in Coding and AI Challenges- (Semester 1-2)
Engage in national-level coding competitions, hackathons, and AI challenges organized by platforms like HackerEarth, CodeChef, or even specific industry partners. This helps in developing problem-solving skills under pressure and networking with peers.
Tools & Resources
HackerEarth, CodeChef, Kaggle, IIT Guwahati Tech Fest competitions
Career Connection
Success in such competitions showcases aptitude, resilience, and practical problem-solving, which are key traits sought by recruiters for roles in advanced tech and AI firms.
Intermediate Stage
Deep Dive into Specialization through Electives- (Semester 3-4)
Strategically choose electives in Semesters 3 and 4 that align with specific interests within AI and Robotics, such as computer vision, natural language processing, advanced control, or reinforcement learning. Seek guidance from faculty mentors on elective selection.
Tools & Resources
Departmental elective catalogs, Faculty consultations, Online research papers on specialized topics
Career Connection
Specialized knowledge from electives helps in carving out a niche, making candidates more attractive for roles requiring specific expertise and enhancing their chances for higher studies.
Seek Research and Internship Opportunities- (Semester 3-4)
Actively pursue research internships at IIT Guwahati or other premier institutions/companies in India. Collaborate with faculty on ongoing research projects or apply for summer research fellowships. This provides invaluable exposure to real-world problems and research methodologies.
Tools & Resources
IITG''''s career services, Faculty networks, Internshala for Indian internships, LinkedIn for professional connections
Career Connection
Internships are often a direct pipeline to full-time employment, especially in R&D roles in companies like TCS Research, Intel India, or various startups in Bengaluru and Hyderabad.
Network with Industry Professionals and Alumni- (Semester 3-4)
Attend industry workshops, seminars, and conferences held at IIT Guwahati or in nearby cities. Connect with alumni working in AI and Robotics fields through LinkedIn and alumni networking events. These connections can lead to mentorship and job opportunities.
Tools & Resources
LinkedIn, IITG Alumni Association portal, Industry events and tech meetups in Guwahati/Bengaluru
Career Connection
Networking is crucial for uncovering hidden job markets, gaining insights into industry trends, and getting recommendations, significantly boosting placement prospects in India''''s competitive job market.
Advanced Stage
Focus on Thesis/Dissertation for Impact- (Semester 3-4)
Treat the M.Tech Thesis (RAI600) as a capstone project to demonstrate advanced skills and research capabilities. Choose a problem with real-world relevance, aiming for publications in reputable conferences/journals if possible. Regularly engage with your supervisor.
Tools & Resources
Research databases (Scopus, Web of Science), Academic writing tools, Version control for code
Career Connection
A strong thesis project, especially one resulting in publications or patents, significantly boosts credibility for R&D roles, academic positions, or entrepreneurship within the Indian innovation ecosystem.
Intensive Placement Preparation and Mock Interviews- (Semester 3-4)
Engage in focused preparation for placements, including revising core concepts, practicing aptitude tests, and participating in mock interviews. Utilize the career development cell for resume building, interview practice, and understanding company-specific requirements.
Tools & Resources
IITG Career Development Cell, Online aptitude platforms, InterviewBit, Glassdoor for company interview experiences
Career Connection
Thorough preparation ensures readiness for the rigorous hiring processes of Indian tech companies and MNCs, leading to successful placements with desirable salary packages.
Develop a Personal Brand and Online Portfolio- (Semester 3-4)
Create a professional online portfolio showcasing projects, research work, and relevant skills. Maintain an active LinkedIn profile highlighting achievements and aspirations. This helps in attracting recruiters and demonstrating expertise proactively.
Tools & Resources
Personal website/blog, GitHub repository, LinkedIn profile, Medium for technical writing
Career Connection
A strong personal brand is increasingly important in the Indian job market, enabling candidates to stand out, attract direct opportunities, and establish themselves as thought leaders in the AI and Robotics domain.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree in Engineering / Technology / Architecture / M.Sc. or equivalent professional degree (e.g., AMIE) in specific disciplinary areas such as CSE, ECE, EEE, Instrumentation Engg., Mechatronics, Mechanical, Production Engg., Chemical, Bioengineering, Biotechnology, Biomedical. Also MCA with Mathematics or Statistics at Bachelor''''s level, or M.Sc. in Mathematics, Statistics, Physics, Electronics, Computer Science, Computational Seismology, or equivalent. Minimum CPI of 6.0 (or 60% marks) in the qualifying degree. GATE score is mandatory for assistantship, unless B.Tech from IITs with CPI > 8.0.
Duration: 2 years / 4 semesters
Credits: 137 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RAI501 | Applied Probability and Stochastic Processes | Core | 6 | |
| RAI502 | Computational Intelligence | Core | 6 | |
| RAI503 | Introduction to Robotics | Core | 6 | |
| RAI504 | Data Structures and Algorithms | Core | 6 | |
| RAI505 | Applied Machine Learning | Core | 6 | |
| RAI506 | Robotics and AI Laboratory | Lab | 3 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RAI507 | Advanced Control Systems | Core | 6 | |
| RAI508 | Computer Vision | Core | 6 | |
| RAI509 | Deep Learning | Core | 6 | |
| RAI510 | Research Methodology | Core | 6 | |
| RAI511 | Optimization Techniques for AI | Core | 6 | |
| RAI512 | Seminar | Seminar | 2 | |
| RAI513 | Research and Dissertation | Project | 6 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RAI600 | Thesis Part 1 | Project | 24 | |
| Elective 1 | Elective I | Elective | 6 | |
| Elective 2 | Elective II | Elective | 6 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| RAI600 | Thesis Part 2 | Project | 24 | |
| Elective 3 | Elective III | Elective | 6 |
