Programs
B. Tech. Computer Science and Engineering
(Artificial Intelligence)
B.Tech Computer Science and Engineering
(Artificial Intelligence)
The B.Tech in Computer Science and Engineering (Artificial Intelligence) at S-VYASA Global City Campus is a rigorous programme. It is designed to cultivate intellectual rigour and advanced technical proficiency in intelligent systems. The curriculum, anchored in core computer science, integrates disciplines such as artificial intelligence, machine learning, and data science. These components address the complexities of a data-driven world.
Students explore neural networks, deep learning, natural language processing, and computer vision. This enables them to design and deploy intelligent, data-driven systems. The programme emphasises algorithmic precision, predictive analytics, and scalable computing. It fosters a deep understanding of how intelligent technologies are conceptualised and operationalised.
Students engage in research-oriented learning, immersive laboratories, and industry-aligned pedagogy under the School of Engineering and Technology. They develop the ability to innovate in sectors transformed by automation and intelligence. Graduates are positioned to contribute to fields such as healthcare, finance, robotics, and smart technologies.
Eligibility
- Passed the 10+2 (or equivalent) examination from a recognized Board with Physics and Mathematics as compulsory subjects, along with one of the following subjects: Chemistry, Computer Science, Electronics, Information Technology, Informatics Practices, Biology, Biotechnology, Technical Vocational Subject, Engineering Graphics, Business Studies, or Entrepreneurship, as prescribed under the AICTE Approval Process Handbook 2024–2027.
- Candidates must have secured a minimum of 45% aggregate marks (40% for reserved categories) in the qualifying subjects taken together. Candidates who have passed the D.Voc. stream in the same or allied sector are also eligible.
Program Highlights
AI-Centric Curriculum:
Combines core Computer Science Engineering with specialised subjects in Artificial Intelligence, Machine Learning, and Data Science. There is an in-depth focus on neural networks, deep learning, natural language processing, computer vision, and predictive modelling. The approach emphasises data analytics, statistical modelling, and large-scale data processing. This supports intelligent decision-making.
Experiential Learning Ecosystem:
Hands-on training through AI labs, real-world projects, simulations, and case-based methodologies.
Industry-Aligned Pedagogy:
Curriculum structured in alignment with contemporary industry requirements and emerging AI technologies.
Research & Innovation Focus:
Encourages critical inquiry, interdisciplinary research (combining multiple fields), and development of cutting-edge AI-driven solutions (advanced artificial intelligence applications).Students receive guidance from academicians and practitioners in AI, machine learning, and computational intelligence
Future-Ready Skill Development:
Equips students for AI Engineer, Machine Learning Specialist, Data Scientist, and related roles in intelligent systems.
Career Outcome
Artificial Intelligence Roles:
Opportunities as an AI Engineer, Machine Learning Engineer, and AI Research Associate, focusing on intelligent system design and automation.
Data Scientists or Data Analysts:
Graduates can become Data Scientists or Data Analysts. They specialise in predictive modelling, big data analytics, and data-driven decision-making.
Software Engineer and AI Application Developer:
Opportunities include Software Engineer and AI Application Developer roles. These positions involve building intelligent, scalable, and adaptive software systems.
Cross-Industry Demand:
Career prospects in sectors such as healthcare, finance, e-commerce, manufacturing, and smart technologies.
Research & Higher Education Pathways:
Strong foundation to pursue M.Tech, PhD, or specialised certifications in Artificial Intelligence, Machine Learning, and Data Science.
Global Career Opportunities:
Preparedness for roles in multinational organisations, AI-driven enterprises, and research institutions worldwide.
Entrepreneurial Pathways:
Equips graduates to build AI-driven startups and innovative technology solutions in a rapidly evolving digital ecosystem.
Begin your journey into the future of intelligent computing with the B.Tech in Computer Science & Engineering (Artificial Intelligence) at S-VYASA University. The programme combines core computer science principles with advanced AI technologies to prepare students for impactful careers in intelligent systems, automation, and emerging digital innovations.
FAQ's
The programme offers career opportunities in artificial intelligence, machine learning, data science, software development, automation and intelligent systems. Graduates can work across sectors such as healthcare, finance, e-commerce, manufacturing, robotics and smart technologies.
Salary depends on the job role, technical skills, projects, employer, location and industry experience. Graduates may begin in entry-level AI, machine learning, data science or software development roles, with higher earning potential as they gain specialised expertise.
Candidates must have passed 10+2 or an equivalent examination with the subjects prescribed by the University. They must have secured at least 45% aggregate marks in the relevant subjects, or 40% for candidates belonging to reserved categories. Candidates who have passed D.Voc. in the same or an allied sector may also be eligible.
Yes. Artificial intelligence is increasingly used across industries for automation, data analysis, prediction and intelligent decision-making. The programme provides a strong foundation in computer science and AI, preparing students for emerging technology careers and higher education.
Eligible candidates can apply through the official S-VYASA admissions portal. Applicants must complete the application form, submit the required academic documents and follow the admission process prescribed by the University.
The salary package varies according to the recruiter, job role, student performance, technical skills and prevailing market conditions. Applicants should contact the S-VYASA admissions or placement team for the latest official programme-specific placement and salary information.
