B Tech CSE (LEET) Data Science
Eligibility: A diploma in any stream of engineering or technology with minimum of 60% marks; mathematics compulsory
- Duration: 3 Years
- Admission Process: A diploma in any stream of engineering or technology with minimum of 60% marks; mathematics compulsory
B Tech CSE (LEET) Data Science
Eligibility : A diploma in any stream of engineering or technology with minimum of 60% marks; mathematics compulsory
- Duration : 3 Years
- Admission Criteria : A diploma in any stream of engineering or technology with minimum of 60% marks; mathematics compulsory
B Tech CSE (LEET) in Data Science at Shoolini University focuses on core data science concepts like machine learning, data analysis, and big data technologies, equipping students with the skills to solve real-world problems.
Students gain hands-on training in Python through collaboration with Ikigai Lab and IIT Kanpur. They can also enrol in Amazon Web Services (AWS) Academy for certifications to build expertise. Industry partnerships with Algo8.AI and AADDOO.AI ensure exposure to the latest tools and technologies in data science.
The university also has a cutting-edge AI & Futures Centre and XR and AI Research Centre to help students learn the latest technology. Shoolini University guarantees 100% placements through Mission 130, connecting students with top recruiters like L&T, Eicher, Havells, Reliance Jio, Microtek, Onida, Vardhman, and Window IT. Supported by faculty from PEC, IITs, Oxford, and IIMs, the program offers world-class education and opens doors to exciting careers in the fast-growing field of data science.
XR/AI Research Centre
Drives innovation by offering immersive, hands-on experiences with emerging tech.
Collaboration with AWS Academy
Students can pursue industry-recognised AWS Certifications.
Research Grants
Government agencies such as DST & HIMCOSTE have provided research and infrastructural grants for advanced labs.
B Tech CSE (LEET) Data Science Career Opportunities
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Artificial Intelligence Engineer
- Data Engineer
- Business Intelligence Analyst
- Big Data Engineer
- Statistician
- Research Scientist (AI/ML)
- Quantitative Analyst
Program Details
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Student Voices
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Top Campus Recruiters
Some of the major companies that visit our campus and hire our graduates are:
Frequently Asked Questions
Who teaches B Tech CSE LEET Data Science at Shoolini University?
Shoolini University has a blend of senior and young faculty with Doctoral degrees in their respective fields. They have worked in premier institutions/universities in their field and have ample industrial exposure too.
What are the future opportunities after completing B Tech CSE LEET Data Science from Shoolini University?
Completing B Tech CSE in Data Science from Shoolini University opens up a wide range of future opportunities. Graduates can pursue careers as data scientists, data analysts, machine learning engineers, or business intelligence analysts, leveraging their skills in data analysis, modelling, and machine learning. Additionally, they can explore roles in data engineering, data visualisation, or data consulting.
Is practical training a part of B Tech CSE LEET Data Science?
Yes, Practical training is included in B Tech CSE LEET Data Science at Shoolini to provide students with hands-on experience in working with data science tools, techniques, and technologies. This practical training involves lab sessions, projects, internships, and industry collaborations to ensure students gain practical skills and industry exposure.
What are the placement opportunities available for students who have successfully completed B Tech CSE LEET Data Science Security at Shoolini?
Shoolini University has a dedicated Placement Cell that helps students secure lucrative jobs after completing B Tech CSE LEET Data Science. Graduates can explore placement opportunities as data scientists specialising in data security, data security analysts, cybersecurity analysts, or data privacy officers. They can contribute to developing secure machine learning models and systems, safeguarding data assets, and ensuring compliance with privacy regulations.
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