Data Science

The specialisations in AI and Data Science offered by Shri Ramswaroop Memorial University (SRMU) for the CSE/related programmes contribute positively towards placements — but like any institution, their effectiveness depends on how the student leverages them.

Why the specialisations help:

1. SRMU has defined programmes such as B.Tech in CSE (Artificial Intelligence & Machine Learning) and BCA in Data Science & Artificial Intelligence, where the curriculum emphasises emerging technologies (e.g., neural networks, deep-learning, big data, computer vision) and hands-on labs. 

2. The placement cell at SRMU reports strong efforts: partnerships with industry, placement-assistance training, and a claimed 90 % placement rate in CMM level-5 companies. 

3. For students specialising in AI/Data Science, the domain itself is in demand, which adds value to their CV and improves chances of being recruited for data-/AI-focused roles.

Why the specialisations are moderately effective (and what to watch):

1. While the highest packages at SRMU have gone up (e.g., one report shows a the highest package of ₹30 LPA in 2025) the average package remains modest  for many programmes.

2. The placement statistics vary significantly by branch, batch, student performance and actual uptake of internship/project experience — which are critical in AI/Data Science roles.

3. The specialisation alone does not guarantee placement in top companies or high salary: students must build strong programming, analytics, machine learning skills, project work, internships, and soft-skills to stand out
   
   In short, SRMU's AI & Data Science specialisations provide a good foundation and reasonable placement support, especially if the student actively engages with labs, internships and industry-aligned projects. For excellent placements (top companies, high salary), the student will need to go the extra mile (strong performance, strong portfolio, relevant internships) rather than rely solely on the specialisation label.

Shri Ramswaroop Memorial University (SRMU) has designed its Computer Science and Engineering (CSE) curriculum to align with the latest trends in technology by deeply integrating Artificial Intelligence (AI), Data Science, and Cybersecurity into both academic learning and practical exposure.

The university offers specialized electives and core subjects focused on these domains, ensuring students gain a strong foundation in programming, algorithms, machine learning, data analytics, and network security. Through industry-oriented labs, real-time projects, and hands-on workshops, students get practical experience using modern tools and technologies such as Python, TensorFlow, R, and cybersecurity frameworks.

Moreover, SRMU emphasizes experiential learning by connecting students with internships, research projects, and collaborations with reputed IT firms and startups. These internships allow students to apply their classroom knowledge to real-world challenges, helping them build technical expertise and professional skills in AI, Data Science, and Cybersecurity domains.

Overall, SRMU ensures that its CSE graduates are industry-ready professionals, equipped with the skills and experience required to excel in the evolving tech landscape.

If you complete MBA in Data Science and AI with SAS at Chandigarh University, you can expect placements that are both diverse and future-ready. The programme is designed in such a way that we don't just learn theory but also apply it through live projects, capstone assignments, and industry workshops powered by Intel. By the time placements arrive, we already know how to work with tools like Python, AI models, forecasting methods, and visualization platforms.

Because of this, students usually land roles like Machine Learning Engineer, Data Analyst, Market Research Analyst, and Big Data Engineer. Sectors like banking, retail, telecom, e-governance, and IT consulting are actively hiring. What makes the opportunities exciting is the balance—graduates can work in technical roles or take on leadership positions like Data Science Consultant or Technical Project Manager.