B.Tech in Artificial Intelligence & Data Science
Program Overview

The B.Tech program in Artificial Intelligence & Data Science at DYPU Ambi equips students with the skills to design intelligent systems and analyze large data sets. Through a curriculum grounded in machine learning, neural networks, and big data analytics, students are prepared for careers in industries where AI and data science are transformative. The program emphasizes practical, hands-on learning and industry partnerships to ensure graduates are ready to meet the demands of a rapidly evolving technological landscape.

  • Duration: 4 years
  • Intake: 30
Fee Structure

Annual Fee: ₹2,00,000/- per year
Application Fee: INR 800/-

Eligibility Criteria
  • The candidate must be an Indian National.
  • Passed the 10+2 examination with any three of the following subjects: Physics, Mathematics, Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational subject, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship, and obtained at least 45% marks (40% for candidates from reserved categories) in the above subjects taken together.
  • OR
  • Passed a minimum 3-year Diploma examination with at least 45% marks (40% for candidates belonging to reserved categories), subject to the availability of vacancies in the First Year. If vacancies at lateral entry are exhausted, the universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., to students from diverse backgrounds to achieve the desired learning outcomes of the program. Additionally, the candidate should have appeared for all the subjects in JEE/MHT-CET/PERA-CET and should have obtained a nonzero score.
  • OR
  • Passed the International Baccalaureate (IB) Diploma with a minimum score of 24 credits.
  • OR
  • Passed a B.Sc. Degree with a minimum of 50% marks (45% for backward class categories and Persons with Disability candidates)
Program Highlights
Career Prospects:

The course offers excellent career roles that can secure your future and can get you associated with the finest jobs possible. Every year, all the big corporations and companies recruit IT graduates from the best IT colleges. If you also want to land an income-generating job, studying from the best IT engineering colleges becomes crucial. D.Y Patil IT Engineering University, Pune, is a well-known university that offers IT programs to its students. It is also considered one of the best colleges in Pune for IT engineering because of the education and exposure it provides to aspiring candidates.

Career Paths:
  • AI and Machine Learning Engineer:

    Develop algorithms to create autonomous systems that can perform tasks traditionally requiring human intelligence.

  • Data Scientist:

    Analyze and interpret complex digital data to help companies make informed business decisions and optimize operational efficiency.

  • Robotics Engineer:

    Design and create robots and robotic systems that are capable of performing tasks that humans are either unable or prefer not to complete.

  • AI Research Scientist:

    Conduct research to develop new and innovative approaches to machine learning techniques and AI technologies.

  • Big Data Engineer/Architect:

    Build the infrastructure and tools for collecting, storing, and analyzing vast amounts of data effectively and efficiently.

  • Business Intelligence (BI) Developer:

    Design, develop and maintain BI solutions to provide businesses with competitive insights.

  • Quantitative Analyst:

    Apply statistical and mathematical models to financial and risk management problems.

  • Software Developer:

    Specialize in AI software, creating the backbone of AI applications and systems with your programming skills.

  • AI Product Manager:

    Oversee the development of AI products from conception to implementation, understanding both technical and business needs.

  • Ethics Compliance Manager:

    Ensure AI technologies uphold ethical standards and regulatory compliance, focusing on data privacy and fair machine learning practices.