DIT University DIT University

B.Sc. in Computer Sciences 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

The field of Computer Science is changing quickly as initially; most students connect it mainly with software jobs. But, now the field overlaps with analytics, automation, AI tools, cloud systems, and business decision-making.
  • At DIT University, the programme introduces students to the basics of computing first and then gradually moves towards areas connected to analytics and modern data-driven technologies. Students study programming, databases, mathematics, and statistics alongside practical lab work and assignments.
  • The course also includes exposure to data science specialization subjects that are now widely used across industries. Instead of limiting learning to theory alone, students work on projects, datasets, and technical exercises during the programme.
  • The honours and research pathways give students additional academic options in the later years. Some students choose advanced electives, while others work on longer projects or faculty-guided research work, depending on their interests.
  • While exploring different BSc CS colleges, students often look for programmes where technical learning feels more practical and less restricted to classroom notes and examinations.

Why Students Are Moving Towards Data Science

Almost every industry today works with data in some form. Retail companies use it. Banks use it. Hospitals use it. Even sports and entertainment industries now depend heavily on analytics.

Because of this, courses connected to data science specialization have started attracting students from different academic backgrounds.

At DIT University, students are introduced to:

  • Programming Concepts
  • Data Analytics
  • Statistical Methods
  • Databases
  • Machine Learning
  • Data Visualization

Students comparing modern BSc CS colleges are also paying attention to how flexible a programme feels after graduation. Some move into software roles, some into analytics, while others continue towards research or postgraduate studies. Apart from this, there is a growing student interest in related areas like AI and Data Science courses, especially among learners planning careers connected to intelligent systems and automation technologies.

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 Curriculum

B.Sc. in Computer Sciences (with specialization in Data Science)

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

Notes

  • Online Registration is Mandatory.
  • In addition to above Fee, Rs.10,000/- Admission Fee (Non-Refundable) and Rs. 5,000 Caution Money (Refundable) will be charged at the time of admission.
  • All the above Scholarships are applicable only on the Program Tuition Fee.
  • Only one type of scholarship can be given, students can opt for the higher %age of scholarship.
  • Scholarship cannot be more than 100% of Tuition fee.

FAQs

Yes.

Yes, one can opt for B.Sc. in CS with Specialization in Data Science.

Yes, it is a good career as India is expanding its Digital Initiatives with companies being focused on data-driven decision making that creates a demand of professionals in the field of IT, Banking and Finance, HealthCare, Telecommunication and Marketing and others.

Yes

There is a proper hierarchy that needs to be followed, from basic statistics to learning programming for data visualization, exploration of AI/ML concepts to real time projects; all these steps are strategically covered in the curriculum that infuse the student with appropriate knowledge and core essential programming skills.

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