Programs

B.Tech Artificial Intelligence & Data Science

B.Tech Artificial Intelligence & Data Science

The B.Tech in Artificial Intelligence & Data Science at S-VYASA is an advanced, interdisciplinary programme. It 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. The programme focuses on data-centric thinking, precise algorithms, and extracting insights from large, complex datasets.

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 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship as per table 8.4 Agriculture stream (for Agriculture Engineering).
  • Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed D.Voc. Stream in the same or allied sector.
  • (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme).

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.

Program Fee

PROGRAMME YEAR'S FEE AMOUNT
B.Tech Artificial Intelligence & Data Science 1st Year ₹3,50,000
2nd Year ₹3,50,000
3rd Year ₹3,50,000
4th Year ₹3,50,000

Registration Fee for All Courses – ₹25,000
(Inclusive of Non-Refundable Administrative Charge – ₹10,000 + Application Fee – ₹1,000)

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.