MBA/PGDM

To directly take admission in an MBA course, keeping in mind the private universities and deemed universities are the best way to approach. You can always knock off the entrance exam to apply for the programs like Amity University / Lovely Professional University / NMIMS (the Mumbai campus will give you better placements). Also you have to look into colleges with a good industry relations, internship assistance and placement with success ratio around 90%. I also recommend looking for courses with practical exposure, live projects, and soft skills assistance. Check the fees, return on investment, and student alumnus feedback before you proceed. If you are flexible to relocate, then have a look at universities of metros. Metropolitan cities will have more corporate engagement for you. Let me know your budget abilities or location preferences and I can help you narrow down to options.

Yes, Chandigarh University's MBA programme is recognised both in India and abroad. The university is ranked among the top universities in NIRF, which adds credibility to its degrees. Internationally, CU is recognised by QS World Rankings and THE (Times Higher Education), which makes the MBA degree valid and respected outside India as well. Many students also benefit from CU's tie-ups with global universities for semester exchange and internships, which strengthen the international exposure.

As for the cost, it is considered affordable compared to IIMs or top private B-schools, while still offering strong ROI through placements in reputed companies like Deloitte, Federal Bank, Amazon, and HDFC. Considering the mix of recognition, industry exposure, and placements, the MBA at CU is definitely worth the investment.

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.