School of Management

An MBA (Master of Business Administration) is a graduate-level degree program that typically spans 1-2 years of full-time study or 2-3 years part-time. It focuses on developing advanced business and management skills, covering areas such as finance, marketing, operations, and leadership. Graduates gain a comprehensive understanding of business strategies, decision-making processes, and global market dynamics, enhancing their career prospects in various industries and management roles.

A Bachelor of Business Administration (BBA) is a 4-year undergraduate degree program that gives students a solid foundation in business and management concepts. Accounting, finance, marketing, human resources, and organizational behavior are common topics included in the program. BBA programs seek to help students improve their analytical, communication, and leadership skills, preparing them for entry-level management roles or additional studies in business-related subjects. Graduates frequently pursue professions in a variety of fields, including corporate management, entrepreneurship, consultancy, and finance.

Bachelor of Business Administration (BBA) in Business Analytics is a 4-year undergraduate curriculum that prepares students to make data-driven business decisions. This degree combines fundamental business ideas with specialized coursework in data analysis, statistics, and information systems. Students learn how to use analytical tools, evaluate complex datasets, and create data-driven strategies. Predictive modeling, data visualization, and business intelligence are typical topics included in the curriculum. Internships and capstone projects frequently involve hands-on experience. Graduates have the skills to work as business analysts, data scientists, or operations research analysts in a variety of industries, meeting the growing demand for individuals who can transform data into relevant business insights.

 MBA in Business Analytics provides students with advanced data analysis, statistical techniques, and business strategies for making educated decisions. Data visualization, machine learning, predictive analytics, and data-driven decision-making are among the topics covered in the course, which also includes key business courses like finance, marketing and management. The curriculum, which normally lasts 1.5 to 2 years, combines theoretical and practical skills to prepare graduates for positions in data-driven leadership across industries. Students acquire experience evaluating complicated data, promoting corporate growth, and optimizing operations. The curriculum frequently involves hands-on projects, internships, and access to cutting-edge analytical tools.

MBA in Data Pioneers is a specialized program designed for professionals aiming to lead in the field of data management, analytics, and business intelligence. Spanning 2 years, this course combines business acumen with cutting-edge data science and analytics techniques. Students will gain skills in data-driven decision-making, machine learning, data visualization, and predictive modeling. The curriculum focuses on real-world applications of data, empowering students to analyze and interpret complex data to drive business strategy. The program includes hands-on projects, internships, and interactions with industry leaders, offering an enriching experience. Graduates will be equipped to take on leadership roles in a variety of industries, making them highly valuable assets in the data-driven business landscape.

BBA in Data Excellence - Analytics & Azure is a specialized program designed to equip students with advanced skills in data analysis and cloud computing using Microsoft Azure. This course covers key areas such as data visualization, data governance, business intelligence, and machine learning, providing students with the expertise needed to excel in data-driven decision-making. The program focuses on the practical application of analytics tools and techniques, ensuring graduates are industry-ready. With a duration of 3 years, this course combines theoretical knowledge with hands-on experience, preparing students for roles in data analysis, cloud services, and analytics management. Ideal for those looking to enter the growing field of data science and cloud computing.