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:
- Programming Languages: Proficiency in languages like Python, R, SQL, or others used for data manipulation and analysis.
- Statistics and Probability: Understanding statistical concepts, hypothesis testing, regression analysis, and probability theory.
- Data Management: Database systems, data warehousing, data cleaning, and preprocessing techniques.
- Machine Learning and Data Mining: Techniques and algorithms used for pattern recognition, predictive modeling, and extracting insights from data.
- 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.
| The Academic Session 2024 – 27 INSTALLMENT OF FEES | |||
|---|---|---|---|
| FEES | First (Rs) | Second (Rs) | Third (Rs) |
| 25000/- | 25000/- | 25000/- | |
| DATE | 20-08-2024 | 20-01-2025 | 20-08-2025 |
| FEES | Fourth (Rs) | Fifth (Rs) | Sixth (Rs) |
| 25000/- | 25000/- | 25000/- | |
| DATE | 20-01-2026 | 20-08-2026 | 20-01-2027 |
Eligibility:
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.
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