Recognized under UGC Section (2f) of the UGC Act 1956

B. Tech CSE in Data Science

Duration 4 years (8 semesters)

Eligibility Criteria 10+2 with minimum 45% Marks (40% in case of Reserved category) in Physics, Mathematics along with Chemistry/Biotechnology/Computer Science as one of the subjects.

B. Tech in Data Science

B. Tech in Data Science is a four-year undergraduate program that focuses on using various scientific tools and approaches to extract meaningful data from a vast amount of data. The course is new and popular, and it provides students with the opportunity to master strategies and abilities such as data extraction, technique analysis, and so on.

  • B. Tech in Data Science course is for those who wish to improve their programming, statistics, mathematical reasoning, machine learning, knowledge finding, communication, and visualization skills.
  • Data Science is an interdisciplinary approach to problem-solving that teaches people how to apply scientific principles to real-world situations. It’s a skill-focused school with enough hands-on experience to design business models for analytics.
  • B. Tech in Data Science program teaches students computer science fundamentals as well as data analytics. Candidates will have the chance to acquire principles, methods, and approaches for modelling, analyzing, and discovering relevant information for a variety of real-world challenges.
  • B. Tech in Data Science course also teaches problem-solving and engineering abilities utilizing computational methodologies. Candidates are invited to propose solutions that use appropriate data visualization approaches to aid decision-making.

Why take this Course?

Because this is a new and popular course with only a few universities offering it, B. Tech in Data Science graduates are in high demand. As a result, this training comes with a variety of benefits. The following are a few of them:

  • The course provides the students with knowledge and abilities in data sciences as well as computer-related technology concerns.
  • The training is in high demand in industrial locations and is widely recognized around the world.
  • Depending on your expertise and skills, you may be able to get a nice salary package or a raise.
  • This training allows you to apply for a larger choice of profitable career openings.

Why choose Us?

  • A four-year under-graduate B. Tech in Data Science program has been specifically established at Shivalik College of Engineering to give undergraduate students with a platform for a potential career in the burgeoning data science industry.
  • B. Tech in Data Science is defined in this course as an interdisciplinary problem-solving method that teaches students how to apply scientific principles to real-world situations.
  • It’s a skill-based program with enough hands-on experience to design business models for analytics.
  • Data science is one of the fastest growing job fields in the country, thanks to its analytical and statistical approach. Its goal is to expose students to the wide range of applications that may be created utilizing the principles covered in this program.

Our career-oriented courses and well-qualified faculty members round out the college’s distinguishing features. Moreover, the ever-updating syllabus at Shivalik College Dehradun is supported by world-class labs and expert hands-on industry experience.

Progressions & Career

Progression –

Here are the attractive opportunities available after B. Tech in Data Science:

  • After completing their degree, B. Tech in Data Science CSE graduates can seek employment or pursue further education, such as an M.Tech. Or an MBA. They also prepare for a variety of job-related competitive assessments and examinations.
  • The M. Tech. Program in Computer Science Engineering is a two-year full-time degree. The applicants must pass the coveted GATE exam at the national level in order to be admitted to the colleges that offer the course.
  • After completing an MBA program, you will have the opportunity to work for leading firms and business institutions.
  • B. Tech in Data Science graduates have a wide range of professional choices and career prospects. As a B. Tech in Data Science graduate, you can work in a variety of fields, including education, artificial intelligence firms, multinational corporations, and more.

Careers –

The graduate’s specialization in this field may aid them in pursuing jobs in both the public and private sectors, such as the following:

  • Data Architect
  • Financial Modeler
  • Data Engineers
  • Clinical and Pharmaceutical Data Analyst
  • Database Administrator

The Shivalik Advantage

  • Shivalik University’s graduate engineering program in B. Tech in Data Science offers a cutting-edge curriculum that emphasizes knowledge and curiosity.
  • A well-thought-out mechanism for evaluating each student’s performance is in place at Shivalik. Students receive guidance and assistance with their project work, as well as industry-relevant course material.
  • On a regular basis, Guest Lectures, Workshops, SDPs, and Industrial Visits are held on campus to expose students to a variety of industrial techniques and information.
  • Students gain hands-on experience and skill augmentation through Value Added courses, Case Studies and Projects, Seminars, Student Development Programs, and Induction Programs presented on competitive technology.

Top Recruiters


Yes, a B.Tech. student can pursue data science after completing a BTech in Computer science. However, if you choose to pursue BTech CSE with Data Science, you will be done with your specialization in the same time it takes to complete a regular BTech in Computer Science.

Data science is still an upcoming field of study therefore several lucrative job options are available to its pursuers. The data architecture strategies or data models, for instance, are prepared by data architects. They design a data strategy in collaboration with IT industries and other enterprises. You might also choose financial modelling, which is analyzing an organization’s financial model and making recommendations for improvements.

Students are given a holistic learning experience and no stone is left unturned in ensuring their professional progress. The Shivalik Computation and Automation Society’s technical events, as well as the ‘Earn While You Learn’ – Internship Program, provide them with the necessary add-on skills and knowledge to face the problems of real life.


BAST 101 BASP 101 Engineering Chemistry
BAST 102 Mathematics-I
BAST 103 BASP 103 English for Communication
BEET 101 BEEP 101 Basic Electrical & Electronics Engineering
BCST 101 BCSP 101 Fundamentals of Computers & Programming in C
BMEP 101 Manufacturing Practices / Workshop
BASP 102 Internship-I (60 Hrs Duration) at the Institute level

BAST 104 BASP 104 Engineering Physics
BAST 105 Mathematics-II
BMET 102BMEP 102 Basic Mechanical Engineering
BCET 101 BCEP 101 Basic Civil Engineering & Mechanics
BMEP 103 Engineering Graphics
BASP 106 Language Lab & Seminars
BEST 101 Environmental Studies

BCET-301 Energy & Environmental Engineering
BCST-302 Discrete Structure
BCST-303 BCSP-303 Discrete Structure
BCET-304 BECP-304 Data Structure
BEET-305 BEEP-305 Object Oriented Programming & Methodology
BCSP-306 Computer Workshop (Using Python)
BASP-107 Evaluation of Internship-I completed at I year level /Seminar for Lateral Entry students

BAST 401 Mathematics- III
BECT 402 BECP 402 Database Management Systems
BECT 403 BECP 403 Software Engineering
BEET 404 BEEP 404 Computer Org. & Architecture
BEET 404 BEEP 404 Theory of Automata and Formal Languages
BHUT 401 Universal Human Values-2

BCST 501 BCSP 501 Operating System
BCST 502 BCSP 502 Computer Networks
BCST-503 BCSP-503 Design and Analysis of Algorithms
BCST-504 Departmental Elective-I
BOCS-505 Open Elective-I
BCST-506 Virtual Lab (Unix/Linux/python/JAVA etc)
BCST-508 Evaluation of Internship-II completed at II year level

BCST-601 BCSP-601 Microprocessors and Applications
BCST-602 BCSP-602 Compiler Design
BCST-603 BCSP-603 Data Analytics
BCST-604 Departmental Elective
BOCS-605 Open Elective
BCSP-606 Open Source Lab/Matlab Programming
BCSP-607 Minor Project -I

BCST 701 BCSP 701 .NET Framework and Programming
BCST-702 BCSP-702 Ad hoc and Wireless Networks
BCST-703 Departmental Elective
BCST-704 Open Elective
BCSP-705 Virtual Lab
BCSP-706 Evaluation of Internship-III completed at III year level
BCSP-707 Minor Project-II

BCST-801 BCSP-801 Advanced Operating Systems
BCST-802 BCSP-802 Cryptography & Network Security
BCST-803 Departmental Elective
BOCS-804 Open Elective
BCSP-805 Major Project

Program Specific Outcomes and Program Educational Objectives

  • PO

    Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and anengineering specialization to the solution of complex engineering problems

  • PO

    Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

  • PO

    Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

  • PO

    Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions

  • PO

    Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations

  • PO

    The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice

  • PO

    Environment and sustainability: Understand the impact of the professional engineering solutions insocietal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development

  • PO

    Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice

  • PO

    Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

  • PO

    Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

  • PO

    Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments

  • PO

    Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

  • PSO

    Understand the application of computer science & engineering principles in information technology (IT) products and services industries.

  • PSO

    Apply the knowledge of algorithmic techniques, programming languages and software applications to design, implement and support information systems

  • PEO

    To groom the students for a bright and successful multidisciplinary career either in industry or academia both locally and globally with the aim that he/she becomes the preferred choice of the prospective employer.

  • PEO

    To expose students to tools and techniques of Computer Science and Engineering so that they create innovative computing products.

  • PEO

    To develop the ability among students to identify, conceptualize, design & develop, install and implement the appropriate solutions for real life problems in a rational manner.

  • PEO

    To inculcate administrative & communication skills, human and ethical values among the students to develop team spirit for congenial work culture.

  • PEO

    To generate among the students, a passion to pursue lifelong learning and up gradation to sustain their career with leadership qualities and a proactive approach.


Dell Lab


Data Structure and Algorithms Lab

Operating System Lab

Artificial Intelligence Lab

Data Science Lab

Vision & Mission

Vision of the Department

The Department of Computer Science and Engineering is committed to provide a center of excellence in upcoming technologies to keep on students as well as faculty with innovation ideas, equipped with requisite skills as per the latest industry standards and highly dynamic professionals having regard for ethics and human values so as to serve the society.

Mission of the Department

  •  To provide an environment to the students congenial for technical education and learning.
  •  To Boost the technical skills of students as well as faculty
  • To build the tradition of innovation and problem solving in the field of Computer Science and Engineering in collaboration with the industry.
  • Provide exposure of latest tools and technologies in the area of Engineering and Technology.
  • To lay greater stress on improving the managerial, professional and communication skills of the students.
  • To provide special attention to the students lacking in means.
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