PGDBA is now in its third year, and people are not only interested in it, but also competing fiercely for admission.
This course has a broad scope. Students learn a wide range of languages, tools, and models used in data science. In addition, one must work with real-world industry problems involving data sizes of up to Terabytes. To compute those massive data sets, the cloud would be required the majority of the time. Learning there is unlike anything you can imagine. There are no online MOOCs that can compare to what this course has to offer. The PGDBA syllabus is not fixed; it can change in response to industry and technological demands and trends. You can rest assured that you will be given the best technologies and equipment available, as well as managerial skills.
My friend is a part of the premier batch of PGDBA. They learn various programming languages such as R, Python, Hadoop, Mapreduce, Spark, and Radian6, SQL just to mention a few. This course is industry-oriented and hence you will be getting a lot of data to work on. You can do multiple projects based on the subject you have chosen. Right now, everyone from their batch has worked on two projects. The class average is around 4 projects per student.
Scope of the course:
Talking about his experience, it has been 3 years since he graduated from the course. During his time, as a student, he worked on a total of 14 projects and interned with McKinsey. By the end of the internship, McKinsey planned a new role in the company- Data scientist for graduates and other similar recruits. There were a lot of other big companies in internships and placements. They were also offered international internships.
However, the course has only moved uphill since then. The placement reports show an average offer of 26 lacs which is more than the course fee. This course positions you well within the industry and is worth every penny spent.