Programs
B.Tech Computer Science and Engineering
(Artificial Intelligence
and Data Science)
B.Tech Computer Science and Engineering
(Artificial Intelligence
and Data Science)
The B.Tech in Artificial Intelligence & Data Science at S-VYASA Global City Campus is an advanced, interdisciplinary programme that cultivates analytical depth and technical excellence in intelligent computing and data-driven technologies. Students gain expertise in artificial intelligence, machine learning, data engineering, and statistical modelling. This prepares them to solve complex real-world challenges and excel in diverse, high-impact careers.
Students study predictive analytics, deep learning, natural language processing, big data technologies, and data visualisation to develop intelligent, scalable, insight-driven solutions. Delivered through the School of Engineering and Technology, the programme combines academic rigour with hands-on learning to prepare students for data-driven innovation.
Through hands-on laboratory work, research-oriented projects, and industry-focused learning, students develop the ability to design and optimise data-driven systems. Graduates benefit by being ready for key roles in healthcare, finance, business intelligence, and smart technology sectors, with the competence to drive innovation in a data-first, AI-powered landscape.
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
Integrated AI & Data Science Curriculum:
A rigorously structured programme combining Artificial Intelligence, Machine Learning, and Data Science with core computational foundations.
Advanced Analytical Proficiency:
In-depth exposure to predictive modelling, deep learning, statistical inference, and data mining techniques.
Big Data & Data Engineering Focus:
Training in large-scale data processing, data architecture, and modern tools for handling complex datasets.
Experiential Learning Framework:
Hands-on engagement through AI and data science labs, real-world datasets, projects, and case-based methodologies.
Industry-Aligned Pedagogy:
Curriculum aligned with contemporary industry practices, ensuring relevance in data-driven and AI-powered sectors.
Data-Driven Decision Making:
Emphasis on deriving actionable insights through data visualisation, analytics, and intelligent modelling.
Research & Innovation Orientation:
Encourages interdisciplinary research, critical thinking, and the development of scalable, intelligent solutions.
Future-Ready Skill Development:
Prepares students for roles such as Data Scientist, AI Engineer, Machine Learning Specialist, and Data Analyst.
Career Outcome
Data Science Roles:
Opportunities as Data Scientist, Data Analyst, and Business Intelligence Analyst, focusing on data interpretation, predictive modelling, and strategic insights.Trains students in managing large-scale data infrastructure and processing frameworks.
Advanced Analytics Domains:
Opportunities exist in predictive analytics, statistical modelling, data mining, and decision intelligence across industries.
Cross-Industry Demand:
Career prospects span sectors such as healthcare, finance, e-commerce, consulting, manufacturing, and technology-driven enterprises.
Research & Higher Education Pathways:
Strong foundation to pursue M.Tech, PhD, or specialised certifications in AI, Data Science, and advanced analytics.
Global Career Opportunities:
Graduates are prepared for roles in multinational organisations, analytics firms, and AI-driven enterprises worldwide.
Entrepreneurial Pathways:
The course equips graduates to build data-driven startups and create innovative solutions using AI and analytics.
S-VYASA University is committed to delivering value-based, technology-driven education through an industry-aligned curriculum, advanced infrastructure, and a strong emphasis on innovation and research.
FAQ's
Yes. It is a strong choice for students interested in programming, mathematics, data analysis and intelligent technologies. The programme prepares students for careers in artificial intelligence, machine learning, data science and analytics.
Salary depends on the job role, technical skills, projects, employer, location and experience. Graduates may begin in entry-level AI, data analytics, machine learning or software roles, with higher earning potential as they develop specialised expertise.
The salary after B.Tech. CSE varies according to the candidate’s skills, specialisation, job profile, employer and industry experience. Graduates with strong programming, problem-solving and project experience may access better career opportunities.
The programme offers opportunities in artificial intelligence, machine learning, data science, software development, predictive analytics and intelligent automation. Graduates can work across healthcare, finance, e-commerce, consulting, manufacturing and technology.
Both can lead to well-paying careers. Computer Science offers broader opportunities across software and technology, while Artificial Intelligence supports specialised roles in machine learning, analytics and intelligent systems. Salary depends more on skills, experience and job role than on the programme title alone.
There is no single B.Tech. course that guarantees the highest salary. Programmes in Computer Science, Artificial Intelligence, Data Science, Cybersecurity and related fields can offer strong earning potential when supported by relevant skills, internships and practical experience.
Yes. It combines a strong computer science foundation with specialised knowledge in AI, machine learning and data science. This combination prepares students for a wide range of technology and data-driven career paths.
Graduates can pursue roles such as Data Scientist, Data Analyst, Artificial Intelligence Engineer, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer and AI Application Developer. They may also pursue higher education, research or technology entrepreneurship.
