2026-27 Academic Year
4 Years, 8 semesters
Qualified Class 12
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.
₹39,375/- (Thirty Nine Thousand Three Hundred and Seventy Five Only) as per FRC
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 Mathematics as compulsory subject.
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%
Programme designed as per National Education Policy 2020
Cutting-edge curriculum prepared by IIT,IIM TEAM
Experiential learning through Industrial internships, boot camps, and workshops
Course-embedded capstone projects
Focus on research-based learning
Exposure to the latest computer technologies and their applications
Practical-based and project-based teaching methodology
Interaction with industry experts through events and seminars
Focus on summative assessment i.e. Continuous evaluation to monitor students' conceptual clarity and practical skills
Continuous mentoring of students for career advancement
To build a strong foundation in the fundamental principles and theories of data science
To develop proficiency in programming languages commonly used in data science and master the use of data science tools and libraries for efficient analysis and visualization
To gain a solid understanding of mathematical concepts and statistical methods relevant to data science
To explore the integration of data-driven decision-making into business strategies
To understand the ethical considerations in handling and analyzing data
To apply knowledge and skills acquired throughout the program to a substantial capstone project
To foster a mindset of continuous learning to stay updated on evolving technologies
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
Distinguished professors leading academic excellence through their expertise and dedicated teaching
Cutting-edge learning spaces equipped with advanced technology to enhance interactive and dynamic education
State-of-the-art Lab facilities fostering innovation and scientific breakthroughs at the highest level
Dedicated efforts to ensure students' successful career placement through targeted programs and support
Wide range of global experiences through the programme enabling students to explore diverse cultures and expand their horizons
Our doors are always open for the life long learner in you, with special advantage as a JGiet
To Be Filled
To Be Filled
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.