OPEN HOUSE 2026 Click here to know more
OPEN HOUSE 2026 Click here to know more
ADMISSION ENQUIRY - 2026
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COMPUTER ENGINEERING
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INFORMATION TECHNOLOGY
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ELECTRONICS & COMMUNICATION
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MECHATRONICS ENGINEERING
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AUTOMOBILE ENGINEERING
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PETROCHEMICAL ENGINEERING
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COMPUTER ENGINEERING - AI
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COMPUTER SCIENCE AND BUSINESS SYSTEMS
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BIOTECHNOLOGY
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CHEMICAL ENGINEERING
Faculty of Engineering & Technology
MASTER OF TECHNOLOGY IN COMPUTER ENGINEERING (ARTIFICIAL INTELLIGENCE)
Fees
Tuition Fees
₹ 1,10,250 /- per year
Contact No.:
+91- (M) 9428604321
admission.uvpce@ganpatuniversity.ac.in
For International Students
| Fee for SAARC & OTHER ASIAN | ₹ 110250 |
| Fee For International | $ 2500 |
Eligibility
Program Educational Objectives (PEO)
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Sr No |
Description |
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PEO1 |
Gain expertise in AI Technologies Graduates will gain deep expertise in core and promising areas of Artificial Intelligence, such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Generative AI, enabling them to build intelligent, autonomous systems that solve complex real-world problems. |
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PEO2 |
Innovation, Research, and Lifelong Learning Graduates will engage in cutting-edge research and apply AI in interdisciplinary and emerging domains, while continuing to learn and adapt to evolving tools, technologies, and methodologies. |
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PEO3 |
Responsible AI Leadership & Societal Contribution Graduates will uphold ethical standards, demonstrate leadership, and apply AI responsibly to address societal challenges, ensuring fairness, transparency, sustainability, and inclusivity in technological solutions. |
Syllabus
| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
|---|---|---|---|---|---|
| Computational Intelligence | Professional Core | 3CEIT101 | 4 |
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| Foundations of AI | Professional Core | 3CEAI101 | 4 |
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| Research Methodology & Ethics | Professional Core | 3CEAI102 | 3 |
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| Mini Project | Professional Core | 3CEAI103 | 2 |
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| Seminar | Professional Core | 3CEAI104 | 1 |
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| Data Science with Python | Professional Elective | 3CEAIPE105 | 4 |
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| Generative AI | Professional Elective | 3CEAIPE106 | 4 |
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| Reinforcement Learning | Professional Elective | 3CEAIPE107 | 4 |
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| Advanced Operating System | Professional Elective | 3CEIT204 | 4 |
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| Subject Name | Subject Type | Subject Code | Subject Credit | Subject Comment | Attachments |
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| Applied Deep Neural Network | Professional Core | 3CEAI202 | 4 |
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| Big Data Analytics | Professional Core | 3CEIT212 | 4 |
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| Computer Vision and Video Analytics | Professional Core | 3CEIT213 | 4 |
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| Information Retrieval and Web Search | Professional Elective | 3CEAI201 | 4 |
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| Internet of Things | Professional Elective | 3CEITPE23 | 4 |
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| Advanced Database Management Systems | Professional Elective | 3CEIT211 | 4 |
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| AI in Healthcare and Finance | Professional Elective | 3CEIT127 | 4 |
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| Natural Language Processing | Professional Elective | 3CEITPE25 | 4 |
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| Service Oriented Computing | Professional Elective | 3CEITPE26 | 4 |
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| Advanced Computer Architecture | Professional Elective | 3CEIT205 | 4 |
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| Network Programming and Management | Professional Elective | 3CEIT108 | 4 |
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| Advanced Software Engineering | Professional Elective | 3CEIT112 | 4 |
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| English Language & Communication Skills | Humanity and Social Science | 3OS201 | 3 |
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