Bachelor of Science- Data Science & Analytics

Programme Code: SBR0308 | Level: Graduate | Duration: 3 Years | Dept: Mathematics & Data Science

Overview

The B.Sc. in Data Science is an undergraduate programme designed to equip students with the skills and knowledge necessary to extract meaningful insights from data. It blends core subjects such as mathematics, statistics, and computer science with specialized courses in data analysis, machine learning, programming, and data visualization. Students learn to handle large datasets, build predictive models, and apply analytical techniques to real-world problems across various domains like finance, healthcare, and technology. The programme emphasizes both theoretical foundations and practical applications, often including projects, internships, and exposure to industry-standard tools and technologies to prepare graduates for careers in data-driven roles or for further studies in related fields.

Programmes & Details

Programme Educational Objectives (PEO’s)

  • PEO1: Prepare professionals conversant with current and advanced technological   tools to carry out Investigation, analysis and synthesis by identifying various   compute oriented solutions.
  • PEO2: To develop positive attitude and skills which enable them to become a   multi facet personality.
  • PEO3: To prepare students in such a way so that they perform excellently in   national label entrance examinations conducted by various well known institution   like IIT’s/ central Universities/other academic institutes etc. to pursue their   PG/MS/Dual PG and Ph. D. programs.
  • PEO4: To make them aware of effective machine learning and Artificial   Intelligence based data analytics and inference required for Industrial Application.
  • PEO5: To inculcate passion for lifelong learning by introducing principles of   group dynamics, public policies, environmental and societal context.

Program Outcomes (PO’s)

  • PO1: Data Science knowledge: Application of Data Science knowledge in   various fields of science, engineering and management etc.
  • PO2: Nature of Data Science: Understand the concise, precise and rigorous   nature of Data Science.
  • PO3: `Critical thinking: Develop the skill to think critically on abstract concepts   of Data Science.
  • PO4: Problem analysis: Develop the ability to analyze a problem logically and   dissect into micro-parts and thus resolving the problem to accessible components.
  • PO5: Presentation skill: Develop the skill to pleasant exposition for successful   presentation for any career interview with confidence.
  • PO6: Data Science logic: Formulates and develops data analysis arguments in   logical manner.
  • PO7: Team Work: Work as a team player and strive for self-excellence.
  • PO8: Ethics: Realize and understand professional, ethical and cultural   responsibilities.
  • PO9: Communication: Communicate effectively with an elite audience.
  • PO10:Life-long learning: Engage in life-long learning towards enduring professional development.

Course Fee

National Students ( Semester wise Fee )

1st Semester
₹ 58150
2nd Semester
₹ 58150
3rd Semester
₹ 59850
4th Semester
₹ 59850
5th Semester
₹ 61600
6th Semester
₹ 61600

National Students ( Yearly Fee )

1 Year
₹ 113300
2 Year
₹ 116699
3 Year
₹ 120200

International ( Yearly Fee )

3400*

Eligibility Criteria

TypeEligibility Criteria
National
  • Sr. secondary (10+2) with minimum 55% marks in PCM/PCB/Humanities with Maths or Applied Maths/Commerce with Maths or Applied Maths
  • Proficiency in English communication
International

The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.

Career Path

  • Data Analyst 
  • Data Scientist 
  • Business Analyst 
  • Machine Learning Engineer 
  • Data Engineer
  • AI/ML Research Assistant 
  • Statistician 
  • Quantitative Analyst 
  • Data Consultant 
  • Data Visualization Specialist
Have some questions?

Talk to our admission support team.