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.
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.
Focuses on data analysis and organization at scale. Supports research on big data trends and computational tools.
Offers hands-on experience in OS and systems development. Ideal for students learning Linux-based systems.
Dedicated to computer networks, QoS, and network infrastructure research. Supports multimedia information transfer studies.
Focuses on Python and Java programming. Provides an environment for students to deepen their software development skills.
Introduces students to C, C++, and Java programming while enhancing their analytical thinking and problem-solving skills.
| S.No | Category | Semester Fee | Fee After Domicile Scholarship |
|---|---|---|---|
| 1 | All India Quota | ₹ 95,000 | ₹ 85,500 |
| 2 | Hill State Quota | ₹ 95,000 | ₹ 85,500 |
| 3 | Uttarakhand Quota | ₹ 95,000 | ₹ 80,275 |
| * Uttarakhand Quota fee is applicable only after Uttarakhand Domicile Scholarship (upto 25%) Subject to document verification & eligibility criteria. | |||
| # | Description | Amount |
|---|---|---|
| 1 |
Registration / DBUU CET Fee (Non-Refundable)
(Waived off in case of direct admission)
|
₹ 1,500 |
| 2 | Admission Fee (Non-Refundable) | ₹ 7,000 |
| 3 | University Enrollment Fee (Non-Refundable) | ₹ 3,000 |
| 4 | Uniform Fee | ₹ 9,900 |
| # | Description | Amount |
|---|---|---|
| 1 | Exam Fee | ₹ 4,500 |
| 2 | Student Welfare and Fest | ₹ 2,000 |
| 3 | Library Fee | ₹ 750 |
| 4 | ERP Fee | ₹ 750 |
| 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. |
| 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. |
This specialized program opens doors to exciting career paths in:
B.Tech. in Artificial Intelligence (AI) and Machine Learning (ML) is a 4-year undergraduate program that focuses on teaching students how to design, develop, and implement AI and ML solutions. It covers machine learning algorithms, deep learning, data science, computer vision, and natural language processing. The course equips students with programming, data analysis, and problem-solving skills, preparing them for careers as AI engineers, data scientists, and ML specialists in industries like healthcare, finance, robotics, and more.
Yes, B.Tech in AI & ML is worth it due to high demand, good salaries, and strong future growth in tech-driven industries.
Students will gain:
Yes, students are encouraged to undertake internships in renowned companies as part of their academic development. These internships help build hands-on experience in the field of AI and ML.
Placements for B.Tech in AI & ML Course are strong across various industries, including tech, finance, healthcare, and automotive sectors. Top companies like Google, Microsoft, Amazon, and NVIDIA actively recruit AI talent for roles in data science, machine learning engineering, NLP, and computer vision. Startups and research institutions also offer opportunities, often focusing on innovation and cutting-edge applications. With growing demand for automation and intelligent systems, skilled professionals in AI/ML enjoy high placement rates, competitive salaries, and career growth globally.
The candidate should have completed 10+2 with Physics and Mathematics as mandatory subjects, along with one of the following: Chemistry, Computer Science, Electronics, Information Technology, Biology, or Informatics Practices. They must have secured a minimum of 55% marks (50% for reserved category candidates) in these subjects combined from a recognized board or university.
Fresh B.Tech AI & ML graduates earn ₹5–12 LPA on average. With experience, salaries can go up to ₹25 LPA or more, depending on skills and company.
Yes, you can pursue B.Tech in AI & ML after class 12th if you have studied Physics and Mathematics along with a relevant subject like Chemistry, Computer Science, or IT, and meet the minimum eligibility marks.
Both B.Tech CSE and B.Tech AI & ML are strong choices, but they serve different goals.
If you want a wide range of career options in tech, CSE is better. If you're specifically interested in AI, data, and automation, AI & ML is the right choice.
To choose the right AI and ML course in Dehradun, look for a program offered by a reputable institute with strong industry recognition, such as Dev Bhoomi Uttarakhand University (DBUU). DBUU offers its B.Tech in Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning. This four-year, full-time program offers a comprehensive curriculum covering AI algorithms, data analysis, and machine learning techniques for intelligent system development. The total tuition fee for the course is approximately ₹6.6 lakhs. Eligibility criteria include completion of 10+2 with Physics, Chemistry, and Mathematics, and a minimum aggregate score of 55%. DBUU boasts a strong placement record, with many graduates securing positions in leading multinational companies and others successfully launching their ventures. The university emphasizes hands-on learning, with faculty supervising projects in areas like AI, ML, deep learning, and cloud computing. When evaluating this course, consider the curriculum's alignment with your career goals, the faculty's expertise, practical training opportunities, and the university's placement support.
