B.Tech in
Artificial Intelligence & Machine Learning
(CSE specialization)

Engineering B.Tech - AI & ML

B.Tech. in Artificial Intelligence & Machine Learning (B.Tech. CSE specialization) aims to help students obtain a practical understanding of various Artificial Intelligence and Machine Learning functions. Both AI and ML are revolutionizing the world in almost every industry and domain. The need for intelligent and critical decision-making across industries has led to the exponential growth in the adoption of AI and ML technologies. As industries open shores for automation and other new-age technologies, the demand for AI and ML professionals has risen to new heights.

To fulfil the increasing need of the industry, The Department of Computer Science & Engineering, at DBUU offers advanced industry-relevant BTech in AI and ML programme that familiarizes students with diverse concepts such as OOPS Programming, Software Engineering, Data Structures, Algorithms, Databases, SDLC, Design Processes, and more. Students will also gain an in-depth knowledge of Machine Learning and Artificial Intelligence concepts by practicing the applications of natural language processing, computer vision, robotics, machine learning pipelines, data, algorithms, models, empirics, and more

DBUU strives to equip students with superior technical skills needed for the 21st century and open avenues for fulfilling careers.

Salient Features

  • 19+ years of excellence
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Admissions Open-2024

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

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

Duration & Eligibility
(Lateral Entry)

  • Duration : 3 Years
  • Candidate must have Passed Diploma examination with at least 45% marks in ANY branch of Engineering and Technology.

Fee Structure

Course Total Fee
Academic fee( Per Sem) ₹ 82,500/-
Academic fee ( Per Sem (Lateral Entry)) ₹ 75,000/

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
Download Fee Structure(Lateral Entry) Click here

Program Educational Objectives (PEO's)

PEO-1 The graduates will establish themselves as experts by solving real-life obstacles following exploratory and analytical skills obtained in CSE -Artificial Intelligence & Machine Learning.
PEO-2 The graduates will render sustainable solutions to ever-changing interdisciplinary global problems through their research & innovation capabilities.
PEO-3 The graduates will become employable, successful entrepreneurs as a consequence of industry-academia collaboration.
PEO-4 The graduates will include a professional code of ethics while implementing a solution to multidisciplinary social problems in an entrepreneurial, industrial, and research environment to display leadership qualities.

Program Specific Objectives (PSO's)

PSO-1 Explore logic and thinking methods from a computational perspective.
PSO-2 Acquire about an agent, search, probabilistic models, knowledge and insight, and machine learning.
PSO-3 Learn about the state of the art technologies like Human-Computer Interaction, Deep Learning, and Augmented Reality.
PSO-4 Design solutions for difficult engineering problems and design system elements or methods that meet the defined needs with relevant consideration for public health and safety and the environmental, cultural, societal, and considerations.

Program Grid Structure

Job Opportunities
The Course Might Lead To

The increasing prominence of AI and ML in the market has opened a lot of avenues for students; some such profiles include:

  • Software Developer or Python Developer- Machine Learning/NLP
  • Speech Scientist- Artificial Intelligence/Machine Learning
  • AI/ML Analyst- Machine Learning Engineer
  • Researcher- Machine Learning
  • Image processing Engineer- Artificial Intelligence/Machine Learning
Job Opportunities

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