M.Tech in Computer Science(Artificial Inteligence )
Program Overview
The M.Tech in Computer Science (Artificial Intelligence) programme provides advanced knowledge of artificial intelligence, machine learning, data-driven computing, and intelligent software systems. The programme is designed to develop technical and analytical skills for building, evaluating, and applying AI-based solutions.
Students can study areas such as Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, Data Mining, Pattern Recognition, Intelligent Systems, Reinforcement Learning, Python Programming, and AI Algorithms.
Eligibility Criteria
- B. Tech. /B.E in Relevant Subject /Candidate who has passed MSC- IT/CS, MCA is Eligibile for M.Tech Computer Science.
Approval Details
- MHRD, Government of India and UGC
Fee Structure
Admission Process
Students can apply for the M.Tech in Computer Science (Artificial Intelligence) programme through EasyShiksha. The admission process generally involves application submission, document verification, eligibility confirmation, and enrollment.
Step 1: Apply Online
Click the Apply Now button on the M.Tech in Computer Science (Artificial Intelligence) programme page and complete the online application form through EasyShiksha.
Step 2: Submit Your Details
Enter the required personal, contact, and academic information accurately in the application form.
Step 3: Upload Documents
Upload the required documents, such as academic records and identity documents, as requested during the application process.
Step 4: Pay Application Fee
Pay the applicable application fee using the available online payment options to submit your application.
Step 5: Application Review
The EasyShiksha team reviews the submitted application and documents to check that the required information has been provided and the applicant meets the applicable eligibility requirements.
Step 6: University Enrollment
After successful review and eligibility confirmation, EasyShiksha facilitates the enrollment process with Sikkim Global Technical University.
Step 7: Begin Your Studies
After successful enrollment, students receive access to the Learning Management System (LMS) and can begin their academic journey using the available learning resources.
Start Your Application
Ready to begin your journey in M.Tech in Computer Science (Artificial Intelligence)? Click Apply Now to submit your application through EasyShiksha.
Career & Placements
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- AI Software Engineer
- Data Scientist
- Deep Learning Engineer
- Computer Vision Engineer
- Natural Language Processing Engineer
- AI Research Assistant
- Machine Learning Researcher
- AI Solutions Developer
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Sikkim Global Technical University, Namchi
Sikkim Global Technical University is a UGC-recognized private university located in Namchi, Sikkim, India. Known for its strong industry connections, cutting-edge curriculum, and commitment to technology-driven education, Sikkim Global Technical University has established itself as one of central India's premier higher education institutions.
The university's vision is to foster academic excellence, industry readiness, and global competitiveness among its graduates โ making it an ideal partner for EasyShiksha's mission of accessible, quality online education.
EasyShiksha has signed an MoU with Sikkim Global Technical University to facilitate applications for various university programs and jointly offer B.Voc programs. All degrees and certifications under these programs will be awarded by Sikkim Global Technical University. The EasyShiksha team will provide complete assistance and support throughout the admission and program process.
Sikkim Global Technical University, Sikkim
Sample Degree
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Frequently Asked Questions
Sikkim Global Technical University follows an education approach that goes beyond traditional boundaries, focusing on preparing students for future professional and societal challenges.
The university aims to develop future-ready leaders who can drive innovation, inspire change, and contribute meaningfully to society.
SGTU encourages students to develop skills and perspectives that help them drive innovation and address real-world challenges.
The university focuses on excellence, community, compassion, responsibility, and values that help students contribute positively to society.
SGTU equips students with skills designed to help them thrive in an ever-evolving world and prepares them to respond to real-world challenges.
No. Along with core professional skills, SGTU also emphasises values and personal development to help students become compassionate and responsible individuals.
Advanced technology is incorporated into the university's blended curriculum to support students' learning and development.
Yes. SGTU's blended curriculum combines advanced technology with India's rich cultural heritage.
SGTU aims to shape compassionate and responsible individuals who are prepared to address real-world challenges.
The university focuses on developing students' professional skills, values, and sense of responsibility so they can make meaningful contributions to society.
Future-ready education at SGTU focuses on equipping students with skills and values that can help them adapt and thrive in an ever-evolving world.
SGTU balances these areas through a blended curriculum that brings together advanced technology and India's rich cultural heritage.
Yes. The university fosters a sense of community as part of its approach to student development.
SGTU aims to empower students to make a lasting global impact through innovation, responsible action, and meaningful contributions to society.
SGTU combines professional skill development, advanced technology, values, and cultural learning to prepare students to address real-world challenges.
M.Tech in Computer Science (Artificial Intelligence) is a postgraduate programme focused on AI, machine learning, intelligent systems, data processing, and advanced computing.
The programme may cover machine learning, deep learning, natural language processing, computer vision, data mining, neural networks, and AI algorithms.
Students develop skills in AI modelling, programming, machine learning, data analysis, algorithm development, research, and intelligent system design.
Graduates can explore opportunities in artificial intelligence, machine learning, data science, software development, research, automation, and technology industries.
Students can pursue AI research, specialised technology roles, professional certifications, teaching, or doctoral programmes in artificial intelligence and computer science.
