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 |
TOTAL | 16 |
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 sÄ…l) | 2 |
23IBTDS281 | FSD Lab 1-Front End Development | 2 |
23IBTDS282 | Data structures lab | 2 |
23IBTDS283 | FSD Lab 2 - Database (Post grease sql, mongodb) | 2 |
TOTAL | 21 |
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 |
TOTAL | 22 |
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 |
TOTAL | 23 |
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 |
TOTAL | 17 |
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 |
TOTAL | 23 |
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 |
TOTAL | 21 |
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 |
TOTAL | 20 |
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
Admission 2023-24