Punjab

Chandigarh University has a dedicated Department of Career Planning and Development (DCPD) for placements and training. CSE students benefit from a well-structured system of internships, workshops, and industry exposure. The university provides hands-on experience through labs sponsored by top companies like Microsoft, Red Hat, Oracle, and IBM. Experienced faculty from NITs, IITs, and industry-certified experts guide students throughout their learning journey. Students can specialize in fields like Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Data Science, IoT, and Full Stack Development, with mentorship from industry professionals. Regular industrial visits, seminars, and expert talks ensure students stay updated on market trends. These efforts help students build relevant skills, prepare for interviews, and become highly employable in roles such as Software Engineer, Database Administrator, IT Consultant, Network Administrator, and Cybersecurity Specialist.

The B.E. CSE (AI & ML) course at Chandigarh University is carefully designed to match the requirements of the fast-evolving tech industry. The curriculum is aligned with IBM and covers cutting-edge subjects such as deep learning, computer vision, and algorithm design. Students also receive IBM certifications upon graduation, which adds global credibility to their profile. In addition, the university provides practical exposure through internships and industry projects in collaboration with IBM. The career scope of AI and ML specialists is vast—industries ranging from healthcare and e-commerce to cloud hosting and manufacturing are investing heavily in these technologies. Job roles such as Computer Vision Engineer, Research Scientist, and Algorithm Specialist are some of the top positions graduates can expect. With global recruiters like Google, Microsoft, Intel, and Volvo Cars Corporation visiting CU, students have a strong chance to secure placements with leading companies, making the course future-proof.

Chandigarh University emphasizes hands-on learning to make its CSE students placement-ready. A major part of this effort is through hackathons, coding competitions, and live projects where students sharpen their problem-solving and innovation skills. These activities not only build confidence but also simulate real-world problem scenarios that employers value. In addition, CU has established industry-collaborated labs with companies like IBM, Microsoft, and Virtusa, allowing students to gain direct exposure to cutting-edge technologies. This ecosystem encourages teamwork, time management, and creativity—qualities that go beyond textbook knowledge. Regular participation in competitions, along with project-based learning in these labs, enhances technical depth and makes students more employable. By the time they reach placement season, students already have portfolios of practical work and achievements that help them secure roles in leading IT and product-based companies.

When I first opted for CSE with Artificial Intelligence at Chandigarh University, I was nervous because AI sounded too technical and complicated. But once the classes started, I realized the course is built in a way that gradually takes you from the basics to advanced concepts. We began with simple logic and reasoning models, then moved into machine learning and deep learning. The best part is how the university connects what we study to real-world projects. For example, in one workshop, we built a small model for predicting trends using data sets, which was both fun and practical. 

Another highlight is the exposure to new areas like augmented reality and human-computer interaction, which keeps the learning exciting. The faculty are approachable, and they guide us well during labs and projects. I genuinely feel this programme is shaping us into industry-ready AI professionals.

Recruiter companies that come for CSE placements at CU span across big tech, software services, analytics, and emerging start-ups. Examples include Microsoft, Amazon, Intel, and Samsung R&D. There are also firms focused on big data, cloud computing, and AI/ML that take students from specialised tracks. Companies similar to KPIT, Juspay, Axtria feature roles in data engineering, business intelligence, and software development. For infrastructure and systems roles, companies offering internships through IBM, labs for planning analytics, big data technologies etc., also participate. Overall, the list of visitors includes both MNCs and tech firms with strong product and service lines. This diversity helps students get multiple options in tech, development, cybersecurity, and analytics.

At Chandigarh University, programming is part of daily life for many students. The culture is such that you see teamwork, coding practice, and sharing of ideas very often. It is not only about theory classes but also about hands-on learning through labs and projects. Students take part in hackathons and other coding events that keep the interest alive. The university also tries to connect with industry so that students know about current tools and trends. There are chances for exposure to new languages, frameworks, and real-world style problems. With these elements, the programming atmosphere here stays encouraging for anyone who wants to begin or grow in this field.

Chandigarh University is a solid choice for B.Sc. Computer Science because the programme is designed with direct input from the industry and mapped with top universities worldwide. The faculty are highly qualified and many come from strong industry backgrounds, so they bring both theory and real-world knowledge into the classroom. A key advantage is the emphasis on internships, where students can gain exposure to companies even before graduation. Along with classroom teaching, students get access to certifications through Coursera, NPTEL, and other platforms, free of cost. These add-on credentials strengthen students' resumes and prepare them for competitive careers. Graduates from this programme are not restricted to one career path, job profiles range from software developer and web developer to cybersecurity analyst and database administrator. Major recruiters like Dell, Wipro, Bank of America, Tech Mahindra, and Amazon visit the campus, which makes the course practical, flexible, and future-focused.

A Bachelor of Engineering (BE) in CSE from Chandigarh University (CU) is a popular choice, but it has pros and cons.

The university's strong placements, with high packages from top companies, are a major draw. The curriculum is often industry-aligned and includes collaborations that offer practical, hands-on experience. The infrastructure is modern, with well-equipped labs.

However, be mindful of the high student intake, which means stiff competition for placements and can result in less individual attention from faculty. Some students have also reported inconsistent teaching quality and mixed experiences with university administration. The key is to be proactive and leverage the opportunities provided while being prepared for a large, competitive environment.

Every law student looks for more than books. They want practice, exposure, and guidance. Chandigarhn University offers LL.M. with a mix of all these. The faculty includes experts who support students in both classroom and research work. The campus has modern facilities, with smart classrooms and legal databases in the library. Court visits, moot courts, and legal aid clinics give real-world knowledge. The course is flexible, with both on-campus and online options. Specializations in different areas allow learners to pick according to their interest. The programme is made to match national and global standards, so students can prepare for jobs, higher research, or exams. If someone wants a balance of learning and practice in law, this LL.M. can be considered as a good option.

Chandigarh University excels in both Chemical and Computer Engineering programs. Chemical Engineering provides solid foundations in process design, environmental engineering, and industrial applications. The programme includes practical labs and electives in petroleum and environmental engineering. Computer Engineering, meanwhile, focuses on software, systems, and data analytics, with options like the IBM-specialized CSE programme for students wanting deeper expertise in AI and analytics. With strong faculty, modern labs, and NIRF 31 ranking, CU ensures students in both fields are industry-ready. Students interested in tech, software, or analytics will benefit more from CSE, while those aiming for industrial or process-oriented careers may prefer Chemical Engineering.