MBA (General)

In addition to incorporating data analytics to improve decision-making, graduates will have a thorough understanding of fundamental business activities like marketing, finance, operations, and strategy. Because of their dual competence, students are able to match analytical solutions with business objectives, which makes them excellent assets in corporate settings.

Python, R, SQL, Tableau, Power BI, and Google Analytics are just a few of the industry-standard analytics tools and technologies that students will get firsthand exposure with. Their practical experience allows them to make data-driven recommendations for business growth by analyzing and visualizing complex datasets.

The program ensures that students can leverage machine learning (ML) and artificial intelligence (AI) techniques to enhance business processes. They will learn how to implement predictive modeling, sentiment analysis, and deep learning applications to optimize marketing strategies, financial forecasting, and customer experience.

Graduates will be proficient in using Big Data technologies like Hadoop and Spark to handle massive amounts of data. They will also learn how to effectively store, process, and analyze data using cloud computing platforms including Microsoft Azure, Google Cloud, and AWS.

Students will have the capacity to glean insightful information from data and convert it into workable business plans. They will receive training in risk assessment, statistical modeling, and predictive analytics, which will assist businesses make wise decisions that will increase output and profitability.