Course guide · RICH GUIDE
Artificial Intelligence And Data Science
UG · ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
Course guideEvidence-backed guidance is available for this exact course identity.
Published source cyclesSource cycle: 2026-27
Source cycle: 2027-2028
Source cycle: 2026
Source cycle: 2026-2027
Course overview
B.Tech Artificial Intelligence and Data Science is an engineering route combining algorithms, statistics, software systems and intelligent applications. Students should expect both mathematical foundations and engineering discipline around data, deployment and evaluation.
What you may study
- Programming, data structures and algorithms
- Probability, statistics and linear algebra
- Machine learning, deep learning and model evaluation
- Data engineering, databases and distributed systems
- AI systems, deployment, security and responsible use
- Domain projects, experimentation and technical communication
What to check before applying
- Check the current official eligibility and admission notice.
- Compare the syllabus, duration, practical work and assessment at shortlisted institutions.
- Confirm recognition or regulatory requirements where they apply.
How to reach this programme
These routes are guidance, not a universal eligibility guarantee.
Class 11–12 / senior secondary
CLASS 11 12 · General guidance
Engineering/technology commonly follows senior secondary preparation with mathematics, but subject, entrance and institution rules vary. Policy: EDUCATION_PATHWAY_POLICY_V2. Stream labels are common preparation only; verify current institution and regulator rules.Science with Physics, Chemistry and Mathematics
CLASS 11 12 · General guidance
Engineering/technology commonly follows senior secondary preparation with mathematics, but subject, entrance and institution rules vary. Policy: EDUCATION_PATHWAY_POLICY_V2. Stream labels are common preparation only; verify current institution and regulator rules.Common routes shown: Class 11–12 / senior secondary · Science with Physics, Chemistry and Mathematics. Verify subjects and admission rules for the institution and year.
Study considerations
- You expect an AI title to replace fundamentals or guarantee a role.
- You dislike statistics, debugging or careful evaluation.
- You want only theory or only app development.
Research next: Research next: compare two current B.Tech. Artificial Intelligence and Data Science curricula, laboratories, admission notices, internships and public professional journeys.
Where this course can take you
Possible directions from the published Career Graph:
With further study
- M.Tech AI, Data Science, Computer Science or Robotics
- M.S./Ph.D. in machine learning, statistics or an applied domain
Institutions offering this programme
493 published institutions match this course.
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Related courses are shown for exploration and are not recommendations.
Next actions
Save and My Plan actions remain available through the authenticated course experience.