B.E in CSE with Data Science at Chandigarh University (CU): Scholarship, IBM Collaboration, Admission 2025, Fees, Placements
In today’s data-driven world, the combination of Computer Science Engineering (CSE) and Data Science is emerging as one of the most in-demand and future-proof career paths. Chandigarh University (CU), a top private university in India, offers a cutting-edge B.E in CSE with specialization in Data Science, crafted in collaboration with tech giant IBM. Here’s everything you need to know about the program—Scholarships, IBM Partnership, Admission Process for 2025, Course Fees, and Placement Opportunities.
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Why Choose B.E in CSE with Data Science at Chandigarh University?
Chandigarh University is known for offering innovative, industry-relevant courses, and the B.E CSE (Data Science) program is no exception. With a focus on hands-on learning, real-world projects, and interdisciplinary knowledge, the program prepares students to become highly skilled professionals in the field of Big Data, AI, and analytics.
🎯 Program Highlights:
Specialization in Data Science under the core of Computer Science Engineering.
Curriculum designed in collaboration with IBM to meet global industry standards.
Real-world exposure through live projects, case studies, and certifications.
State-of-the-art infrastructure with high-performance computing labs.
IBM Collaboration: What’s in It for You?
The collaboration with IBM is a major highlight of this program. Through this partnership, students get:
Access to IBM-certified courses and labs.
Industry-curated modules in Machine Learning, AI, Business Intelligence, and more.
Workshops, seminars, and guest lectures from IBM professionals.
Hands-on training with tools like IBM Watson, SPSS, and Cognos.
Admission 2025: How to Apply
Chandigarh University has a streamlined admission process, and aspiring candidates for the 2025 intake can follow these steps:
📝 Eligibility:
10+2 with Physics, Chemistry, and Mathematics (PCM) from a recognized board.
Minimum aggregate marks as per university norms.
Score in CUCET (Chandigarh University Common Entrance Test) or other eligible entrance exams.
🗓 Admission Timeline:
CUCET 2025 Registration: Likely to start in early January.
Counseling & Seat Allotment: Post entrance result declaration.
Visit the official CU website for exact dates and updates.
Scholarships & Financial Aid
CU is well-known for offering generous scholarships to meritorious and deserving students. For the B.E CSE (Data Science) program, students can avail:
CUCET-based scholarships: Up to 100% tuition fee waiver.
Scholarships for sports, defense personnel wards, single girl child, and economically weaker sections.
IBM certification programs may also come with subsidized fees under this collaboration.
Course Fees (2025 Batch)
While exact fees may vary slightly each year, here’s an estimated breakdown for the B.E CSE (Data Science) program:
Tuition Fee: ₹1.9 to ₹2.1 Lakhs per year (approx.)
IBM Specialization Fee: Additional ₹25,000 – ₹40,000/year
Hostel & Mess Charges: ₹90,000 – ₹1.2 Lakhs/year (optional)
Note: Scholarships can significantly reduce the financial burden.
Placements: Launchpad to Your Data Science Career
Chandigarh University boasts a strong placement record with top recruiters visiting every year. For the Data Science specialization:
💼 Top Recruiters:
IBM
Amazon
Deloitte
TCS
Wipro
Accenture
ZS Associates
Infosys
💸 Average & Highest Packages:
Average Package: ₹7-9 LPA for Data Science roles
Highest Package (International): ₹50+ LPA
Highest Package (Domestic): ₹25+ LPA
With a dedicated Department of Career Development, CU ensures comprehensive placement training, resume building, and interview preparation.
Conclusion
If you’re passionate about tech, numbers, and solving real-world problems with data, a B.E in CSE with Data Science at Chandigarh University could be your ideal choice. Backed by IBM’s industry expertise, excellent placement opportunities, and robust academic structure, this program offers a well-rounded launchpad into the booming field of data science.
Apply early, aim for scholarships, and set the foundation for a data-driven future!
