Bridging the Future: Why B.E. CSE (AI & ML) at Chandigarh University Is Becoming the New Gold Standard

2 mins readUpdated on Feb 18, 2026 11:15 IST
Let’s be honest, today, coding is no longer just about writing lines of instructions. It’s about teaching machines how to think. From Netflix suggesting the next binge-watch to hospitals using AI to detect diseases early, Artificial Intelligence and Machine Learning are everywhere. They are quietly shaping how the world works.

Let’s be honest, today, coding is no longer just about writing lines of instructions. It’s about teaching machines how to think. From Netflix suggesting the next binge-watch to hospitals using AI to detect diseases early, Artificial Intelligence and Machine Learning are everywhere. They are quietly shaping how the world works.

So if a student who has just completed Class 12 and is thinking about engineering, the real question isn’t: “Should I do CSE?” It’s, “Will my degree still matter 5 to 10 years from now?”

This is where Chandigarh University (CU) stands out. With its BE (Hons) CSE with Specialisation in AI & ML in association with IBM. CU isn’t just offering another engineering program. It’s giving students a real entry into the future of technology.

The IBM Advantage: Learning That Feels Like Real Industry Work

Most colleges talk about “industry exposure.” CU actually delivers it. Because it collaborates with IBM, students don’t just study AI from textbooks. They work with real tools, real platforms, and real datasets used by global companies. The IBM Software Lab on campus feels more like a corporate workspace than a classroom. Here, students learn: Big Data Analytics, Cloud Computing,  Cyber & Information Security, and AI Model Development.

They also earn IBM certifications and digital badges along the way. These certifications matter. When recruiters see “IBM-trained” on any resume, it instantly builds credibility. It tells them: This student has already worked at an industry level.

A Curriculum for the Real World

CU follows a Flexible Choice Based Credit System (FCBCS), which means students aren’t locked into a rigid structure. They can shape their learning based on interests and strengths. Core subjects are: Machine Learning, Deep Learning, Neural Networks,  Natural Language Processing (NLP), and  Data Science.

But the real learning happens through projects. Students don’t just submit theory papers. They build things, like AI Tools to make agriculture better, Smart automation systems,  Fraud detection models, Chatbots and recommendation engines, as well as Robotics and IoT solutions. By the final year, most students have a strong portfolio, which doesn’t just say I know AI, it shows it.

Placements That Speak for Themselves

Let’s talk about what matters most to families: results. Chandigarh University has delivered:

  •  Highest National Salary: ₹54.75 LPA
  • Highest International Salary: ₹1.7 Crore

These aren’t lucky accidents. They are outcomes of years of training, mentoring, and industry alignment. Students from CSE AI & ML have been placed in companies like Microsoft, Google, Amazon, IBM, and Dell. A few more companies include:

  •  SAP
  •  Oracle
  • HP
  • Wipro
  • Capgemini
  • Mindtree

In one cycle alone, IBM recruited 196 students from CU, the highest in North India. This happens because CU’s Training & Placement Program starts from Day One. Students are trained in:  Coding skills,  Aptitude,  Interviews, Industry expectations and Soft skills. So by the final year, placements don’t feel scary. They feel familiar.

CUCET Scholarships, Fees and Return on Investment

Education is an investment. CU understands that. Through the Chandigarh University Common Entrance Test 

  •  Above 90% → Up to 100% scholarship
  • 80–90% → Up to 50% scholarship

Many students reduce their total fees drastically through this route.

To keep the scholarship, students maintain a CGPA of 7.5, encouraging steady learning instead of last-minute cramming.

 

Note: The views expressed in this article are of Chandigarh University and do not reflect/represent those of Shiksha.

 
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