MBA in Data Science, Machine Learning & AI

MBA in Data Science, Machine Learning & AI

Data Science, Machine Learning & AI have emerged as the fastest-growing career fields in the past decade. Irrespective of the nature of the industry, data science has cultivated entirely unconventional ways of looking at and working with data guided by standard statistical and mathematical principles. What is fascinating is the deep insights we gain with this - “Data is the new fuel”- as commonly known.

Data science and Machine learning are the buzzwords that go hand in hand. This one of its kind MBA program is a blend of data science and machine learning to enable students’ business decision-making and analytics. The MBA is an experiential degree program that focuses on transforming you into a hands-on skills-driven, strategic Data Science Manager in today’s data-driven economy.

This MBA in Data Science, Machine Learning & AI provides an edge to any professional by equipping them with better decision-making skills, apprising them of holistic areas of management to allow them to be a top-level executive.

Data sets employed for teaching will be real data based on various industries like Biotech, Energy, Financial Services, Gaming, Hospitality, Government, Manufacturing, Pharmaceutical, Telecom, travel and tourism, etc. The Capstone project allows you to work on real business problems. This makes you employable in almost all industries and all verticals.

After the end of this program students will be able to:

• Develop a deep understanding of data science concepts and machine learning algorithms and how are they applied together
• Comprehend business problems and develop an approach to solve them through DS/ML principles
• Build an approach to intelligently study and skim data to suitably narrow down on ML algorithms, which deliver a viable solution
• Build the positive perspectives and skills that create productive managerial leaders and business networks to create world-class teams
• Be proficient in the usage of tools/technologies prevalent in the data science industry