JG University's School of Engineering B.Tech - Data Science is a 4-year, 8-semester programme where students embark on a transformative journey at the forefront of technology and analytics. This programme is meticulously crafted to empower the next generation of data scientists, equipping them with the skills and knowledge needed to navigate the dynamic landscape of big data. At JG University, hands-on experiential learning is prioritized, fostering a collaborative environment where students engage in real-world projects. With a curriculum designed by industry experts and renowned faculty, the B.Tech in Data Science programme ensures graduates are not only well-versed in theoretical foundations but are also adept at applying their skills to solve complex challenges in diverse domains.
The students seeking admission in the B.Tech - Data Science
Shall have passed the HSC examination (10+2) or equivalent from a recognized board with Physics Chemistry and Mathematics as compulsory subjects.
The candidate must have obtained the following minimum aggregate marks (grand total) at the above qualifying exam.
For open category candidates 45%
For reserved category candidates 40%
GUJCET/JEE or JG University’s Entrance Test (JGET)
Comprehensive understanding of data science principles for effective analysis of complex datasets
Excel in Python and R programming, proficient in data science tools
Strong foundation in math and statistics for applying quantitative techniques to diverse datasets
Capable to integrate data-driven decision-making into business strategies for informed choices
Prioritize ethical considerations in data science, ensuring responsible and transparent data handling
Apply acquired skills to a substantial capstone project, showcasing practical problem-solving
Demonstrate a mindset of continuous learning, staying updated on evolving data science technologies
Our Admission process enables us to meticulously give importance to every individual applying. The admission of the applicant will majorly be based on our admission process scores.