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B.Tech. Data Science

B.Tech 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 top btech 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

  • 19+ years of academic 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 & Fee Details

Duration & Eligibility

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.

Fee Structure

Course Total Fee
Academic fee ( Per Sem) ₹ 82,500/-
Academic fee ( Per Sem(Lateral Entry)) ₹ 75,000/-
Industry Integrated Specialization (Per Semester) ₹ 12,500/-

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

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Download Fee Structure (Lateral Entry)

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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

Program Grid Structure


Semester 1

Course Code Course Credit
23IBTDS101 Mathematics for Computer Programming 2
23IBTDS102 Introduction to Computer Science 2
23IBTDS103 Object Oriented Programming in Java 2
23IBTDS104 Algorithmic Thinking and Problem Solving Using C 3
23LS191 English Communication-I 2
23IBTDS181 Foundation of Programming Lab 3
23IBTDS182 Object Oriented Programming Lab 2

Semester 2

Course Code Course Credit
231BTDS201 Data Structures & Algorithms 2
23IBTDS202 Full Stack Development - Front end development & UI 3
23IBTDS203 Full stack development - API Basics 3
23IBTDS204 Introduction to Data Science 3
23LS192 Environmental Studies 2
23IBTDS205 Full stack development -Introduction to Databases(Sql, no sąl) 2
23IBTDS281 FSD Lab 1-Front End Development 2
23IBTDS282 Data structures lab 2
23IBTDS283 FSD Lab 2 - Database (Post grease sql, mongodb) 2

Semester 3

Course Code Course Credit
23IBTDS301 Discrete Mathematical Structures 3
23IBTDS302 Computing Systems for Data Processing 4
23IBTDS381 Computing Systems for Data Processing Lab 2
23LS391 Universal Human Values 2
23IBTDS303 Operating System 2
23IBTDS382 Operating System Lab 3
23IBTDS304 Design and Analysis of Algorithms 3
23IBTDS383 Design and Analysis of Algorithms Lab 2
23SOCIALIN391 Social Internship 1

Semester 4

Course Code Course Credit
23IBTDS401 Information Security and Privacy 3
23IBTDS402 Computer Organization and Architecture 3
23IBTDS403 Data Mining and Prediction by Machines 3
23IBTDS404 Deep Learning 3
23IBTDS405 Mathematical Computation of Data Science 3
23IBTDS406 Database Management System 2
23IBTDS481 Database Management System Lab 3
23LS291 Indian Knowledge System 1
230E46XX Open Elective-I 2

Semester 5

Course Code Course Credit
23IBTDS501 Full Stack Development 3
23IBTDS502 Cloud Computing 3
23IBTDS503 Software Engineering 3
23IBTDS504 Information Extraction and Retrieval 2
23IBTDS581 Cloud Computing Lab 2
23IBTDS505 Big Data Analytics 2
23IBTDS582 Big Data Analytics Lab 1
23PSIN591 Internship - I 1

Semester 6

Course Code Course Credit
23IBTDS601 Machine Learning 4
23IBTDS602 R for Data Science 3
23IBTDS603 Computer Networks & Security 3
23IBTDS604 Data Handling and Visualization 3
23IBTDS681 Data Handling and Visualization LAB (Tableau Software) 2
23IBTDS682 Cyber Security Lab 2
23IBTDS605 Digital Electronics 2
23IBTDS683 Digital Electronics Lab 1
23PSPR691XX Minor Project 1
230E66X Open Elective-II 2

Semester 7

Course Code Course Credit
23IBTDS71X Software Project Management 3
23IBTDS72X Software Testing 3
23IBTDS73X Time Series Analysis and Forecasting 3
23IBTDS781 Time Series Analysis Lab 2
23PSPR791XX Minor Project -2 2
21PHCC101 RESEARCH Methodology 8

Semester 8

Course Code Course Credit
23IBTDS81X Data Analysis using Python 3
23IBTDS82X Computer Vision 3
23LS803 Indian Constitution 2
23PSPR891XX Internship - II 12
230E86X Open Elective-Ill 2

Job Opportunities The Course Might Lead To

After completing the programme, the graduates will have career opportunities in Business, E-Commerce, Climatology, Biotechnology, Healthcare, Social Networking Companies, Genetics, and various other crucial areas. The different profiles on which the individuals can work are:

  • Data Architects
  • Data Visualizers
  • Data Science Consultant
  • Financial Modeler
  • Data Engineers
  • Data Ecologists
  • Database Administrators
  • Clinical and Pharmaceutical Analyst
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Admission 2023-24

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