B.E.

The internship opportunities for BE CSE information security students at Chandigarh University are excellent because they are structured around experiential learning. Students first train in industry sponsored labs like Microsoft Lab, IBM lab, and Red Hat lab, where they learn about security protocols, networks, and advanced software systems. When they step into internships, they apply this knowledge directly in roles such as cybersecurity analyst, system administrator, and security software developer. The university maintains strong connections with recruiters like DXC Technology, Amazon, capgemini, and Accenture, which also offers internships opportunities to CU students. Beyond this, students regularly participate in seminars, Heckathons, and expert sessions, which prepare them for practical exposure. The internship experience at CU is not limited to observing; students actively work on projects live case studies in security domains. This gives them the confidence and technical expertise required for the top placements after graduation.

At Chandigarh University, the focus is on making B.E. CSE Big Data and Analytics students fully prepared for placements. The faculty in the Engineering Department guide us through real-world projects and hands-on labs, teaching tools like SQL, Hadoop, and Tableau. CU also organizes internships, workshops, and industry talks so students umderstand what companies expect.

The placement team helps with mock interviews, resume building, and personality development, which boosts onfidence. Many students from our specialisation have been placed in top IT companies, and some internships turn into full-time offers. Personally, I feel the combination of practical learning, mentorship, and placement support makes CU a strong choice for this field.

Chandigarh University's AI & ML specialisation under CSE is structured for students who want hands-on exposure along with academic depth. The unique selling point is its IBM partnership, which brings real-world industry alignment into the classroom. Students get access to IBM labs like Deep Learning Lab and Machine Learning Application Development Lab, where they work with tools directly used by professionals. The curriculum focuses equally on concepts like computer vision and algorithm optimization as well as practical internships. By the end of the course, students receive IBM certifications, which improve their employability globally. CU also brings in industry experts for mentorship and career guidance sessions. Combined with regular hackathons, coding contests, and industrial visits, the course ensures students graduate as competent AI and ML professionals.

Pursuing BE Computer Science and Engineering (Hons.) with IBM Information Security at Chandigarh University is definitely worth it for students aiming for a career in cybersecurity. The Engineering Department has designed the programme in collaboration with IBM, which ensures a curriculum aligned with industry standards. Students gain hands-on training, practical lab exposure, and real-world projects, making them job-ready. The programme also emphasizes ethical hacking, data protection, and network security, which are highly demanded skills globally. With dedicated internships, mentorship, and guidance from industry experts, graduates have a strong chance to secure roles in top IT companies. 

Career placements for CU's B.E. AI & ML students are supported through a multi-layered system. The specialised IBM labs for Deep Learning and Machine Learning Application Development help students gain technical depth before placement season. Internship opportunities with IBM and industry partners give students real experience, which adds weight to their resumes. The placement team works closely with recruiters and prepares students through training modules that cover coding, algorithms, and interview skills. The industries hiring are diverse—from tech giants like Google and Microsoft to financial and healthcare firms using AI for predictive analytics. CU graduates from this course are placed in roles such as Data Scientists, Machine Learning Engineers, and Computer Vision Experts. With global recruiters like Intel, Volvo, and Sabre Technologies on the list, the placement opportunities are both high in number and diverse in scope.