4 Yrs
Duration
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B. Tech. Computer Science (Artificial Intelligence & Machine Learning)
The B.Tech in Computer Science (Artificial Intelligence & Machine Learning) at the School of Advanced Studies, S-VYASA Deemed to be University, is an innovative program designed to prepare students for the rapidly evolving world of intelligent technologies. This program focuses on the development and application of AI-driven systems that can learn, adapt, and make decisions, shaping the future of industries and everyday life.
With a strong foundation in computer science principles, the program introduces students to modern AI and ML techniques through a balanced mix of theory and practical implementation. It emphasizes problem-solving, critical thinking, and innovation, enabling students to design smart solutions for real-world challenges.
Students gain hands-on experience through projects, workshops, and internships, working with current tools and platforms used in AI development. The program also encourages research, collaborative learning, and industry exposure to ensure graduates are ready to contribute meaningfully in the AI and tech ecosystem.
Supported by experienced faculty and a tech-forward learning environment, this program equips students with the knowledge and confidence to pursue careers in artificial intelligence, machine learning, data science, intelligent automation, and emerging tech domains.
Eligibility
- Candidates must have passed 10+2 (or equivalent) from a recognized board.
- They should have studied Physics and Mathematics as compulsory subjects along with Chemistry, Biotechnology, Biology, or a Technical Vocational subject.
- Minimum Marks Requirement:
- General category: 45% aggregate in the above subjects.
- Reserved categories (SC/ST/OBC/PwD): 40% aggregate.
Program Highlights
Cutting-Edge Curriculum:
Immerse yourself in a curriculum tailored to the latest advancements in AI and ML, ensuring you stay ahead in this dynamic field.
Practical Learning:
Apply theoretical knowledge to real-world scenarios through hands-on projects, fostering practical skills that set you apart.
Expert Faculty:
Learn from seasoned professionals and experienced faculty who bring real-world insights, ensuring industry relevance.
Industry-Aligned Skills:
Acquire a diverse skill set including AI algorithms, machine learning models, and deep learning techniques, aligning with industry demands.
Internship Opportunities:
Gain valuable industry exposure through internships, building a strong foundation for your future AI and ML career.
State-of-the-Art Labs:
Access cutting-edge labs equipped with the latest technology, fostering an environment conducive to experimentation and innovation.
Program Fee
| Program | Year | General |
|---|---|---|
| B.Tech. Computer Science (Artificial Intelligence & Machine Learning) | 1st Year | 3,00,000 |
| 2nd Year | 3,00,000 | |
| 3rd Year | 3,00,000 | |
| 4th Year | 3,00,000 |
Registration Fee for All Courses - INR 25,000 (Inclusive of Non-Refundable Administrative Charge - INR 10,000 + Application Fee - INR 1,000)
Career Outcome
AI Developer:
Craft and implement AI applications, leveraging machine learning algorithms and AI frameworks.
Machine Learning Engineer:
Design, build, and deploy machine learning models for various applications, from predictive analysis to recommendation systems.
Data Scientist:
Analyze and interpret complex datasets, derive insights, and contribute to data-driven decision-making processes.
Research Scientist:
Engage in cutting-edge research projects, contributing to the advancement of AI and ML technologies.
AI Solutions Architect:
Design innovative AI solutions tailored to meet specific business needs and challenges.
Business Intelligence Analyst:
Utilize data analytics to generate actionable insights, enabling informed decision-making within organizations.
Choosing BTech in Computer Science (Artificial Intelligence & Machine Learning) at S-VYASA University means stepping into a future where you have the knowledge, skills, and support to become a trailblazer in the ever-evolving field of AI and ML. Join us and redefine the possibilities of intelligent systems!
