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B.Tech in
Artificial Intelligence & Data Science

(Industry Integrated)

The B.Tech in Artificial Intelligence and Data Science (Industry Integrated) at Dev Bhoomi Uttarakhand University is a future-ready engineering program designed for students who want strong technical skills with real industry exposure. This four-year course combines core engineering fundamentals with advanced technologies such as machine learning, deep learning, neural networks, big data analytics, automation, and intelligent systems.

The industry-integrated approach ensures students work with real tools, real datasets, and real project environments. Through workshops, internships, expert sessions, and hands-on labs, learners understand real-world challenges and develop practical, industry-ready solutions.

Students gain strong programming skills, algorithmic thinking, and the ability to design AI-driven applications across fields like healthcare, finance, robotics, security, and smart systems. With modern labs, experienced faculty, and a practical learning ecosystem, DBUU prepares students for high-growth roles in AI engineering, data science, machine learning, automation, and research in emerging technologies.

Salient Features

  • 21+ years of experience
  • 100% placement guidance and support
  • Industry-integrated curriculum with hands-on training and live projects
  • Intensive learning of AI, ML, DL, big data, and intelligent systems
  • Access to advanced labs, tools, cloud platforms, and real datasets
  • Internships, industry mentorship, and project-based learning from early semesters
  • Regular tech workshops, coding contests, and expert masterclasses
  • Strong focus on programming, algorithms, model building, and deployment
  • Soft-skill development for interviews, teamwork, communication & innovation

At DBUU’s B.Tech in Artificial Intelligence & Machine Learning program, we shape your future in AI with an industry-driven curriculum, expert faculty, advanced AI labs, practical learning, strong placement support, and much more.

Empowering

AI & DS students with

cutting-edge data tools,

practical analytics projects, and

real-world AI-driven insights.

At DBUU,

AI & DS students are

shaping the future with

data-driven innovation

and intelligent analytical solutions.

Admissions Open-2025

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Departmental Laboratories

Data Analytics Lab

Data-Analytics Lab

Focuses on data analysis and organization at scale. Supports research on big data trends and computational tools.

Linux Unix Lab

Linux-Unix Lab

Offers hands-on experience in OS and systems development. Ideal for students learning Linux-based systems.

Networking Lab

Networking Lab

Dedicated to computer networks, QoS, and network infrastructure research. Supports multimedia information transfer studies.

Python Lab

Python Lab

Focuses on Python and Java programming. Provides an environment for students to deepen their software development skills.

Python Lab

Programming & Oracle Lab

Introduces students to C, C++, and Java programming while enhancing their analytical thinking and problem-solving skills.

Fee Structure

Course Total Fee
Academic fee( Per Sem) ₹ 95,000/-
Industry Integrated Specialization (Per Semester) ₹ 7,500/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500/- ₹ 7,000/- ₹ 3,000/-
Exam fees ( Per Semester) ₹ 4,500/-
Download Fee Structure Click here

Scholarship

  • 25% Scholarship for UK Domicile.
  • You can secure upto 50% scholarship *

Eligibility & Duration

  • Duration : 4 Years
  • Candidate must have passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Computer Science/ Electronics/ Information Technology/Biology/Informatics Practices and have obtained at least 55% marks (50% in case of candidate belonging to reserved category) in the above subjects taken together from a recognized board/university.

Program Grid Structure

Click here

Program Educational Objectives (PEO's)

PEO-1 Provide a strong foundation in AI, Data Science, and core engineering principles.
PEO-2 Develop industry-ready professionals with strong analytical and problem-solving abilities.
PEO-3 Encourage innovation, research thinking, and ethical use of intelligent technologies.
PEO-4 Prepare graduates for successful careers in global technology-driven industries.
PEO-4 Enable lifelong learning through advanced certifications, higher studies, and R&D.

Program Specific Objectives (PSO's)

PSO-1 Apply AI and ML techniques to design intelligent and scalable solutions
PSO-2 Analyze and process large datasets to extract meaningful insights
PSO-3 Build, train, and deploy machine learning and AI models effectively.
PSO-4 Develop software applications using modern programming tools and cloud platforms.
PSO-5 Integrate industry practices and teamwork skills for real-world engineering challenges.

Job Opportunities
The Course Might Lead To

AI Engineer

Machine Learning Engineer

Data Scientist / Data Analyst

Big Data Engineer

Deep Learning Specialist

AI Software Developer

Business Intelligence Engineer

AI Research Associate

Automation & Cloud Engineer

FAQ’S

B.Tech in AI and Data Science is a four-year undergraduate program that focuses on artificial intelligence, machine learning, data analytics, programming, and modern computational techniques used to build intelligent systems.

Students who have completed 10+2 with Physics, Chemistry, and Mathematics from a recognised board are eligible. Most institutes require a minimum of 50–60% marks.

You will learn in the B.Tech in Artificial Intelligence and Data Science program, programming languages (Python, R, Java), machine learning, deep learning, big data analytics, neural networks, data visualisation, cloud computing, and AI-based problem-solving.

The B.Tech in AI and Data Science is a 4-year full-time program divided into 8 semesters.

Graduates can work as Data Scientists, Machine Learning Engineers, AI Engineers, Data Analysts, Business Analysts, Robotics Developers, Cloud Architects, and more.

Yes, it is one of the fastest-growing fields. With digital transformation across industries, demand for AI and data professionals is rising globally.

Freshers can earn ₹4–10 LPA, depending on skills, projects, internships, and the hiring company. With experience, salaries can rise significantly.

Yes, you can go for M.Tech in AI, Data Science, Machine Learning, MBA, or other advanced specialisations.

Our Proud Achievers

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