DIT University DIT University

B.Sc. (Hons. with Research) in Computer Science with specialization in Data Science

Eligibility

  • Passed 10+2 Examination with 55% marks in aggregate.
  • Passed Mathematics or its equivalent as mandatory subject in 10+2.

Admission Procedure

01

Merit based counseling on XII Std. aggregate marks.

Know More About Scholarships

About Program

Students usually look at Computer Science differently now as compared to a few years ago. Earlier, most people associate it only with coding jobs but today, the field has moved deeper much wider into analytics, AI tools, automation, cloud systems, and data-driven technologies. Due to this factor, many students compare different BSc in CS colleges carefully before choosing a programme.
  • The B.Sc. Computer Science programme at DIT University starts with core computing fundamentals and gradually diverges into specialized learning connected to Data Science. Students study core concepts of programming, databases, statistics, computational methods, and analytical techniques along with hands-on practical assignments and projects.
  • The 4-year honours structure provide students with additional academic depth through electives, advanced subjects, and larger capstone-based projects beyond classroom teaching.
  • The Honours with Research track is allow students to work closely with faculty members during the final year on guided research projects. This experience is later utilized for higher studies or for strengthening the technical profiles.

Data Science and Industry Demand

Data Science has become one of those fields that quietly entered almost every industry such as banking, healthcare, finance, retail and manufacturing as each one of them relies on analytics and predictive systems.

Because of this, students exploring BSc Data Science colleges in India are no longer looking only at degree titles. They usually check whether the programme actually gives practical exposure to tools, projects, and real-world projects.

At DIT University, students are introduced to areas such as:

  • Python Programming
  • Data Analytics
  • Statistical Methods
  • Data Visualization
  • Database Systems
  • Machine Learning Fundamentals
  • Data Mining

Another thing students often notice is whether the learning environment feels too theoretical. Therefore, the programme here includes comprehensive assignments, projects, and lab-based learning that make the students more comfortable with practical concepts and applications.

Career opportunities connected to Data Science have also expanded quite rapidly over the last few years. Students graduating from leading BSc Data Science colleges in India are now exploring opportunities in analytics, software development, business intelligence, AI support roles, research, and postgraduate education.

Hence, for many students, the appeal of the programme is not just Computer Science alone rather it’s a combination of computing, analytical thinking, and practical problem-solving that makes the field more versatile long term.

Fee Structure

1st Year (2026-27)

Particulars Tuition Fees Academic Services Fee Total Fee

All India Category

1st Installment

48,450

26,050

74,500
 

2nd Installment

48,450

26,050

74,500

Uttarakhand/Himalyan State Quota (After 25% Scholarship on Tuition Fee)

1st Installment

36,338

26,050

62,388
 

2nd Installment

36,338

26,050

62,388

For detailed Program Fee Structure, please Click Here

Program Educational Objectives

PEO1

Computer Science and Engineering Graduates will be globally competent and provide sustainable solutions for modern challenges of Computer Engineering as team players.

PEO2

Graduates of Computer Science and Engineering will participate in professional activities with ethical practices in the field of Computer Science & Engineering to boost their own importance to contribute society with their entrepreneurship skills.

PEO3

Graduates of Computer Science and Engineering will attain domain specialize knowledge in trending technologies for innovation, research, and software product development.

Outcomes of the Program

PO1

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

PO2

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

PO3

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.

PO4

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.

PO5

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

PO6

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.

PO7

Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8

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

PO9

Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

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.

PO11

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.

PO12

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.

Program Specific Outcome

PSO1

Proficiency in Real life problem solving, Algorithm Design - Display proficient morals and actualize the ideas of Computer Science and building, Software Development, Problem illuminating strategy and Algorithm Design and execution with the cutting-edge innovation and contemporary aptitudes.

PSO2

Proficiency in core technical areas of Computer Science & Engineering: To present forthcoming areas like Big Data, Cloud Computing, Artificial Intelligence, Robotics, Data examination, IoT and Machine Learning to create bits of knowledge for critical thinking.

PSO3

Proficiency in program Design and coding and analyses / interprets data: Execute and connect hypothetical learning by program improvement, investigation of issue and break down/translate the outcomes for fitting decisions and suggestions to a certifiable programming designing issue with a noteworthy point of view of modern, cultural and genuine world.

Additional Scholarship for:
Girls Students Student has scored 80% & above in X & XII Std. aggregate for UGprograms (To continue the scholarship, the student should maintain a CGPA 8.5 and above every year, without any back paper, UFM and Indiscipline case.) 10%
Sibling Siblings of current Students / Alumnus (The scholarship shall be applicable only for first year) 5%
Defence Defence Personnel (Serving / retired) (The scholarship shall be applicable only for first year) Defence (Martyrs Defence Personnel / Gallantry Medals Awardees) (The scholarship shall be applicable only for first year) 5%
Ward of Single Mother Scholarship for Ward of Single Mother (To continue the scholarship, the student should maintain a CGPA 7.0 and above every year, without any back paper, UFM and Indiscipline case) 5%
Both Parents are not Alive Scholarship for the Orphan Student (To continue the scholarship, the student should maintain a CGPA 7.0 and above every year, without any back paper, UFM and Indiscipline case) 5%
Differently Abled Scholarship for Differently Abled Student (To continue the scholarship, the student should maintain a CGPA 7.0 and above every year, without any back paper, UFM and Indiscipline case) 5%
Sports Scholarship on the basis of performance in Sports.(The scholarship shall be applicable only for first year) Please refer the policy document
Merit Scholarship on the basis of percentage of marks in Physics, Chemistry, Mathematics/Biology in XII Std.
Greater than or equal to 90% 30%
Less than or equal to 80% to < 90% 20%
On the basis of CUET for UG Programs Percentile in CUET >=70% to <80% 15%
>=80% to <90% 25%
>=90% to <95% 50%
>=95% 100%

The Merit Scholarship is applicable for 1st year only, for subsequent years please refer to Merit based policy for subsequent/continuing years in the Scholarship Policy

FAQs

In data science, a student learns to collect, process, visualize, and analyze data with the use of statistical tools and methods, programming languages, and machine learning algorithms. In this program, the basic courses covered include Python programming, R Programing, artificial intelligence, data mining, and big data analytics. This program incorporates the capabilities in the degree holder for making data driven decision and solve the complex problems. Data Science is a combination of statistics and Programming that analyses large amount of data to identify patterns and draw insights for real time analysis.

Yes, data science is a good career option as it gives opportunities in the different job sectors with good salary packages. It provides job opportunities in the field of health care, IT industry, banking sector, finance, e-commerce, technology, agriculture, manufacturing, etc.

Yes, the basic coding skills are required for the data science engineer to collect, process, visualize, and analyze the data. The common programming skills that are required are R programming, Python programing, SQL.

The best course for data science is the B.Tech in Computer Science Engineering with the specialization in Data Science. Also, B.Sc. Data Science is a good course as it offers a taste of data analysis, statistics and programming, AI/ML that together builds a strong foundation and prepares a student as per the industry demand.

DIT university provides an opportunity to opt a degree of computer science with specialization in Data Science also it provides B.Sc.- Data Science.

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