B.Sc. in Data Science

A B.Sc. in Data Science typically covers a blend of subjects from computer science, mathematics, statistics, and data analysis. Some core subjects you might encounter include:

  1. Programming Languages: Proficiency in languages like Python, R, SQL, or others used for data manipulation and analysis.
  2. Statistics and Probability: Understanding statistical concepts, hypothesis testing, regression analysis, and probability theory.
  3. Data Management: Database systems, data warehousing, data cleaning, and preprocessing techniques.
  4. Machine Learning and Data Mining: Techniques and algorithms used for pattern recognition, predictive modeling, and extracting insights from data.
  5. Data Visualization: Tools and methods for presenting data visually to aid in understanding and decision-making.

Practical Experience:
B.Sc. programs often involve hands-on projects, case studies, and practical assignments that allow students to apply their knowledge and skills to real-world data sets.

Capstone Projects:
Some programs may culminate in a capstone project where students work on a significant data science project, integrating their knowledge and skills gained throughout the program.

Fee Structure
The Academic Session 2024 – 27
FEESFirst (Rs)Second (Rs)Third (Rs)
FEESFourth (Rs)Fifth (Rs)Sixth (Rs)


The basic B.Sc. course eligibility is to have at least 50% in Class XIIfrom any recognized board. 5% relaxation in ST SC OBC

Skills Developed:
Throughout the program, students develop skills in data analysis, programming, statistical modeling, machine learning, data visualization, and critical thinking, which are highly sought after in the data-driven job market.

Career Avenues for B.Sc. in Data Science

Graduates with a B.Sc. in Data Science can pursue various careers in industries such as finance, healthcare, technology, marketing, e-commerce, and more. Job roles might include data analyst, data scientist, business intelligence analyst, machine learning engineer, or data engineer.