Computer Science and Engineering

When it comes to Computer Science, placements matter the most. At Chandigarh University BSc Computer Science students have been strong hiring in the past years. In last year the univesity recorded more than 9000 offers with top salary reaching Rs54.75 LPA in India and Rs 1.7 crore abroad. Compaanies like Microsoft, Amazon, Hewlett Packard, TCS and IBM took students for roles in software, testing and data work.

The university placement team arranges industry sessions, corporate talks and training drives to prepare students. Some students join global firms, some go for research, while some work in national IT companies. Placement numbers show good chances for both high end offers and mass hiring, giving students confidence in job security. The opportunities are not limited to one sector but spread across IT services, product companies and consulting.

The Placement scene in CSE Cloud Computing is generally positive. As cloud technology is now very important in the IT sector, recruiters look for such skills. Students in this programme get practical learning which helps during interviews. Many big companies visit and hire for different roles like cloud engineer system admin or data related jobs. Some students get very attractive packages while others secure stable jobs with good pay. The university also invites international companies which gives wider exposure. the trend shows that every year more companies are adding cloud roles in their hiring. For students who want to enter IT with a focus on cloud this branch offers good career opportunities

Both are good courses. Finally it is about what path you want for career.

General CSE is bets when you want knowledge in every area of computer science. It gives you strong basics, coding skills and chance to explore different domains like cloud, AI or security. It is safe because scope is everywhere.

CSE IBM Big data and analytics is different. It is more specialised and designed with industry. You study data, Statistics, AI tools and IBM platforms. This can help you in jobs related to data Science and analytics, which is a trending area now.

If you really like wide study go for CSE. If you like specialised career in data go for IBM course. Both are useful in their own way.

Some of the industry-collaborated programs in CSE at Chandigarh University are: 

• B.E. (Computer Science and Engineering) (Computer Science and Business Systems) (In association with TCS)

• Bachelor of Engineering (Hons.) (Computer Science and Engineering) (Data Science) (In association with IBM)

• B.E. - Computer Science and Engineering (CSE) Cloud Computing (In association with IBM)

• Bachelor of Engineering (Hons.) (Computer Science and Engineering) (Cyber Security) (In association with IBM)

• B.E. CSE with Specialization in Artificial Intelligence and Machine Learning (In association with IBM)

• Bachelor of Engineering (Hons.) (Computer Science and Engineering) (with Specialization in Internet of Things & Artificial Intelligence)

Cloud computing is one of the most rapidly growing fast-paced technological advancements, and this brings students to look for clear basic knowledge along with imparting some hands-on training. At Chandigarh University, B.E. in CSE Cloud Computing provides students knowledge on both software and hardware aspects of cloud networks. The students are exposed to distributed systems, virtualization, cloud design, DevOps, and security frameworks. Specialized training on AWS tools allows students to work on practical projects and certifications during the degree. The course also exposes students to hackathons, competitions, and internships, providing a rich opportunity for real-world learning. This specialisation serves steady growth opportunities to these students who want to build a career in technology with a focus on cloud-based solutions.

Today no company can run without cloud, so students choosing projects on it is very helpful. Final year projects can be like real-time chat app on cloud, cloud-based file sharing system, online health tracking system with cloud, or library management using distributed resources. Some more ideas are smart transport tracking system, cloud-based payroll system, or integrating AI with serverless computing. Students can test these projects on AWS or Google Cloud and learn scalability and user load management. Such work supports better future scope, as it helps in jobs where cloud solutions are most demanded. These projects also allow team collaboration and practice of virtualization and DevOps skills.