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B.Tech in Data Science

(Industry Integrated)

Our School of Engineering & Computing offers an advanced B.Tech. in Data Science programme in collaboration with ImaginXP, providing engineering graduates with the skills and knowledge to become proficient data scientists. The course focuses on fundamental data science subjects, including computational statistics, mathematics, and computer science, with an emphasis on practical applications in industries such as business, finance, and healthcare.

The programme equips students with the ability to perform intelligent data analysis, which is essential in solving complex real-world problems. The curriculum combines algorithm development, data inference, and technology to analyze vast amounts of data, bringing hidden insights to the forefront and empowering businesses to make informed decisions.

DBUU's B.Tech. Data Science programme is designed to hone students' skills in three critical areas: technology hacking, mathematical expertise, and business acumen. The course combines theoretical and practical classes, along with self-study, to help students prepare datasets and program data analysis assignments

By completing this programme, students will be well-equipped to create innovative methods of utilizing enormous amounts of data to generate business value. As one of the best B.Tech. colleges in Dehradun, DBUU's industry-oriented course curriculum ensures that graduates have the knowledge and aptitude to succeed in today's data-driven world.

Salient Features

  • 21+ years of experience
  • Focus on student-centered learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities in reputed companies
  • Industrial training in top firms and organizations
  • 100% placement guidance and support
  • Industry visits, seminars, workshops, expert lectures, tech fests and hackathons.
  • Active student clubs and bodies
  • Multi-cultural and vibrant teaching environment

At DBUU’s B.Tech in Data Science program, we prepare future data experts with industry-aligned curriculum, expert faculty, modern labs, real-world projects, analytical skills, placement support, and more.

Equipping

Data Science students with

data-driven technologies,

project-based learning, and

real-world analytical insights.

At DBUU,

Data Science students are

shaping the future with

data-driven insights

and analytical excellence.

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

Academic Fee (Semester Wise):
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 submission (upto 25%) Subject to document verification & eligibility criteria.
One Time Fee (Admission Time Only):
# Description Amount
1 Registration(Waived off in case of direct admission) / DBUU CET Fee (Non-Refundable & Non-Adjustable)
(CET is Not applicable in Diploma(HM, Architecture, Fashion Design, Polytechnic) & BAMS programme)
₹ 1,500
2 Admission Fee (Non-Refundable) ₹ 7,000
3 University Enrollment Fee (Non-Refundable) ₹ 3,000
4 Uniform Fee ₹ 9,900
5 Alumni & Degree Fee (For Final semester Only) ₹ 2,000
Other Fee (Per Semester):
# Description Amount
1 Exam Fee ₹ 4,500
2 Student Welfare and Fest ₹ 2,000
3 Library Fee ₹ 750
4 ERP Fee ₹ 750
View Complete Fee Structure with other details

Scholarship

  • Upto 100% Merit Based Scholarship based on DBUU-CET2026. Apply Now
  • Upto 5% Additional Scholarship For Girls, Sports & Defence Candidates.
  • Upto 10% Early Bird Scholarship for admission & fee submission before 25th May 2026.

Eligibility & Duration

  • Duration : 4 Years and 3 Years(For Lateral Entry)
  • 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) from a recognized board/university.
  • For Lateral Entry -
    Candidate must have Passed Diploma examination with at least 45% marks in any branch of Engineering and Technology OR
    B.Sc degree from a recognized university with 45% marks (40% marks for reserved category) and passed 10+2 examination with mathematics as a subject.
Apply Now

Program Grid Structure

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Hostel Fee & Details

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Program Educational Objectives (PEO's)

PEO-1 To transform the graduates into engineering practitioners and managers, who would assist solve the industry's technical problems.
PEO-2 To nurture the students into the engineering professionals, developers or entrepreneurs engrossed in technology deployment, technology development, or engineering system execution in the industry.
PEO-3 To help them function in their occupation with social understanding and commitment.
PEO-4 To prepare them to interact with their peers in other professions in enterprise and community and contribute to the financial growth of the nation.
PEO-5 To inculcate in them an ethical perspective and shall demonstrate practical skills in management, teamwork, communication, and leadership.
PEO-6 To train them in problem-solving and critical thinking skills to form social, economic and sustainable impact.

Program Specific Objectives (PSO's)

PSO-1 To use computing theory, vocabularies and algorithms, as well as mathematical and statistical measures, and the principles of optimization to properly acquire and utilize data analysis.
PSO-2 To apply database administration, design, and execution principles and approaches to improve data display capabilities and decision-support procedures. Ability to critique the role of communication and analytics in sustaining business operations and functions.
PSO-3 To develop and operate appropriate data analysis models, evaluate the input rate, emanate insight from outcomes, and explore possible issues. Also, to manage big data sets into significant structures, including data profiling and quality measures.

Admission & On Boarding Process

Step 1: Enquiry Generated
Step 2: Counselling & Campus Visit
Step 3: Admission Confirmation
Step 4: Fee Submission
Step 5: Reporting on Campus
Step 6: Orientation Program
Step 7: Session Start

Job Opportunities
The Course Might Lead To

This specialized program opens doors to exciting career paths in:

Job Opportunities

Data
Architects

Data
Visualizers

Data Science
Consultant

Financial
Modeler

Data
Engineers

Data
Ecologists

Database
Administrators

Clinical and Pharmaceutical Analyst

FAQ’S

B.Tech in Data Science is a 4-year undergraduate degree that focuses on extracting insights from data using programming, statistics, machine learning, and big data technologies.

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 in total (50% for candidates from reserved categories) in these subjects from a recognized board or university.

After completing a B.Tech in Data Science, you can pursue a variety of career opportunities across industries. Some popular roles include:

  1. Data Scientist
  2. Data Analyst, Machine Learning Engineer
  3. Business Intelligence Analyst
  4. Data Engineer
  5. AI Engineer
  6. Big Data Engineer
  7. Statistician
  8. Database Administrator
  9. Product/Data Consultant

These roles exist in sectors such as IT, finance, healthcare, e-commerce, manufacturing, and government.

Starting salaries typically range between ₹4–10 LPA in India, depending on skills, company, and internships. With experience, packages can grow significantly.

Yes. While both share foundational computing knowledge, Data Science focuses more on data analysis, statistical modeling, machine learning, and data-driven decision making.

Yes, students can pursue higher studies after a B.Tech in Data Science for:

  1. M.Tech in Data Science / AI / Machine Learning
  2. MBA in Data Analytics
  3. MS abroad in Data Science / Computer Science
  4. Research (Ph.D.)

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