Program Overview

The CSE program specializing in Artificial Intelligence (AI) and Data Science provides students with a strong foundation in both AI techniques and data-driven problem-solving. Students learn key areas such as machine learning, deep learning, natural language processing, and data mining, which are essential for creating intelligent systems. The program emphasizes the use of statistical methods, data analysis, and data visualization tools to interpret large datasets. It also covers algorithm design, neural networks, and AI ethics. Students gain hands-on experience through practical projects, working with real-world datasets and AI frameworks. Elective courses allow for deeper exploration of specific topics like computer vision, robotics, and big data technologies. The curriculum integrates programming languages such as Python, R, and SQL for efficient data manipulation and model development. Graduates are equipped to work as data scientists, AI researchers, or machine learning engineers, solving complex problems across industries.

Duration
4 Years

Applications Open for 2025

Programme Name

B.Tech in Artificial Intelligence & Data Science

Career Opportunities

At Vidya University, students graduating from the Artificial Intelligence & Machine Learning program have access to a wide range of career opportunities. The university’s strong academic framework prepares graduates to step into roles that are at the forefront of technological innovation. Here are some career opportunities that students can pursue:

  • AI Engineer
  • Data Scientist
  • Natural Language Processing (NLP) Specialist
  • AI Consultant

Scholarship

*Terms and Conditions Apply

  • Scholarships are granted based on the order of application and are applied as fee adjustments.
  • To retain the scholarship throughout the duration of the program, students must maintain a minimum academic performance of 8 CGPA in all semesters, ensure at least 80% attendance, and avoid any disciplinary issues during their course of study."

Eligibility

The candidate must have passed 10+2 (Intermediate) or equivalent examination with the following subjects:

  • Mathematics
  • Physics
  • Chemistry (or any other relevant vocational subject)

Candidates must have secured a minimum of 50% aggregate marks (45% for reserved category students) in the qualifying examination.


Selection

Selection will be based on merit of Class XII Best of 3 subjects score (comprising of Physics and Maths as compulsory subjects and any other third subject with highest score)

Note : Third subject should not be vocational- Music, Dance, Painting, Home Science, Arts, etc

Program Highlights

  • Comprehensive Curriculum: The program covers foundational and advanced topics in AI and ML, including deep learning, natural language processing, computer vision, data analytics, and algorithm design.
  • Hands-On Learning: Students gain practical experience through projects, internships, and lab work, allowing them to apply theoretical knowledge in real-world scenarios.
  • Industry-Relevant Skills: The program is designed to equip students with the skills required by today’s tech industry, ensuring they are ready to tackle complex problems in sectors like healthcare, finance, and robotics.
  • Strong Industry Partnerships: Collaborations with top tech companies and startups provide students with real-world exposure, internships, and potential job placements, enhancing their career prospects.
  • Global Career Opportunities: The skills and knowledge gained through this program open doors to career opportunities in leading companies globally, in roles such as AI Engineer, Data Scientist, Robotics Engineer, and more.
  • Modern Facilities and Labs: The university is equipped with AI-focused labs, high-performance computing resources, and modern infrastructure to support hands-on training and experimentation.

Key Recruiters

Frequently Asked Questions – B.Tech. AI & Machine Learning

The program emphasizes machine learning algorithms, neural networks, deep learning, and AI applications.

Core languages include Python, R, Java, and C++.

Yes, students can intern with AI-focused companies and research labs.

Students work on projects like Natural Language Processing, Computer Vision, and Autonomous Systems.

Industries include technology, healthcare, finance, robotics, and gaming.

Yes, the program is taught by experienced faculty specializing in AI, ML, and data science.