The Master of Science in Artificial Intelligence (M.Sc. AI) at Guru Nanak College, Dehradun, is a comprehensive postgraduate program designed for individuals fascinated by the rapidly evolving field of artificial intelligence. This two-year course provides an in-depth exploration into the realms of machine learning, neural networks, and advanced algorithms, blending theoretical concepts with practical hands-on experience.
This program endows students with profound knowledge in various domains of AI including data analytics, deep learning, natural language processing, robotics, and ethical considerations in AI. The curriculum covers a wide array of subjects such as computational intelligence, AI in business and society, autonomous systems, computer vision, and reinforcement learning.
A significant focus of the M.Sc. AI program is on engaging students in cutting-edge research and practical projects. Students are encouraged to employ innovative AI methodologies to solve complex problems, develop intelligent systems, and enhance the capabilities of AI technologies. The course emphasizes the integration of AI with other technologies and its sustainable and ethical application.
Apply NowGraduates of the M.Sc. AI program are well-equipped for a diverse range of career paths. They are prepared for roles in AI research and development, contributing to advancements in machine learning, developing solutions for real-world problems, and pushing the boundaries of AI technology. Career options also include positions in AI strategy and consulting, helping organizations to implement AI solutions effectively. Graduates can find opportunities in various sectors, including technology companies, government agencies focusing on technological innovation, and AI startups. The program also paves the way for academic and research careers in universities and research institutions. Entrepreneurial paths are abundant, with graduates initiating their own tech startups or AI consultancy firms.
Year | Heads | Course Fee (Per Year) |
---|---|---|
1st Year | Fee | 60,000 |
Students Diversity Scholarship | - | |
Merit Scholarship | - | |
Net Academic Fee | 60,000 | |
Total Fee year wise inclusive of other charges | - |
Uttarakhand Domicile | 65-75% | 75-90% | 90-95% | 95-100% | Sports Category |
---|---|---|---|---|---|
15% | 15% | 20% | 50% | Free Education | 5-10% |
Admission Fee | Registration Fee | Other Chanrges (Uniform Winter Summer, Sports Lab Practical) |
---|---|---|
8,000 | 1,200 | 5,999 |
Examination Fee | Lab, Library Medical Consultation & Ambulance Service |
ERP Membership | ||||||
---|---|---|---|---|---|---|---|---|
(Theory Internal / External, Practical Internal / External) As per the University/Board/College Norms Payable |
4,800 | 1,500 |
Hostel & Mess Fee | Single Bed | Double Bed | Triple Bed | Four Bed |
---|---|---|---|---|
Starting From | 48,000 (For the package seats) | |||
Standard | - | 78,000 | 68,000 | - |
Deluxe | - | 88,000 | 78,000 | 58,000 |
Executive Room | - | 1,20,000 | - | - |
Laundry Charges | 4,800 | 4,800 | 4,800 | 4,800 |
Hostel Enrollment & Furnishing Fee (To be paid once) |
5,000 | 5,000 | 5,000 | 5,000 |
Note :- AC/TV Available at Extra Charges |
The M.Sc. AI program at Guru Nanak College, Dehradun, is distinguished by its:
Our aim is to nurture a new generation of AI specialists and leaders who can make significant contributions to the field, driving innovation and responsible use of AI technologies. Students receive comprehensive support in their educational journey and career ambitions, including guidance for further studies and assistance with job placements in the dynamic and ever-growing field of artificial intelligence.
Apply NowTo embark on your educational journey at GNC, follow these essential steps whether you're enrolling yourself or assisting an applicant.
Our students graduate with strong self-assurance and interpersonal skills, shaped by exposure to diverse cultures. They are well-prepared for success in the global marketplace and multicultural settings.
Guru Nanak College believes in a holistic approach to education by emphasizing not just the academic component.