MBA AI for Business In Knowledge Partnership with EY India

MBA in AI for Business is a 2-year PG program offered in knowledge partnership with EY India. The MBA Artificial Intelligence for Business course explores applications of AI/ML models to solve complex business issues. Along with studies of management fundamentals, course also offers hands-on experience in industry-relevant tools and skills such as Python, Power BI, SQL, and Excel.

MBA in Artificial Intelligence eligibility criteria at UPES require that candidates must hold a bachelor’s degree with at least 60% marks, along with a minimum of 50% marks in Classes X and XII. Admission may also require a valid UPESMET or other accepted national-level MBA entrance examination score, followed by a personal interview.

MBA in Artificial Intelligence for Business program admissions at UPES are based on students’ performance in UPESMET or other national-level MBA entrance examinations (CAT, MAT, CMAT, GMAT, etc.), followed by personal interviews. Based on individual performances, admissions are finalized. The MBA in artificial intelligence fees and admission details are available on the official website.

The MBA Artificial Intelligence for Business program at UPES, offered in knowledge partnership with EY India, provides extensive industry exposure through expert-led learning and practical training. Of the program’s 100 credits, 40 or over 650 hours of modules are delivered at campus by EY professionals across 15 specialized modules, enabling students to develop industry-relevant AI skills, gain valuable business insights, and learn from experienced practitioners.

The MBA Artificial Intelligence subjects and curriculum have a total of 100 credit points. Out of these 100 credits, 40 credits are delivered by EY India experts through 15 specialized modules.

The UPES MBA in Artificial Intelligence program equips students with essential software and tools to master MBA AI for managers and business leaders. Industry-relevant skills and tools such as Python, Excel, Power BI, and SQL are integrated into the MBA Artificial Intelligence syllabus, giving students hands-on technical knowledge and preparing them for data-driven and skill-heavy industries.

Yes, Generative AI, NLP, and AI Governance are key subjects incorporated into the MBA AI for Business curriculum at UPES. The MBA Artificial Intelligence syllabus includes modules such as Generative AI for Business (3 credits), NLP and Text Analytics, and AI Governance topics, making them an essential part of the MBA studies.

Graduates studying this course explore MBA in Artificial Intelligence scope in management roles where most of the day-to-day responsibilities are based around structuring, planning, and executing AI-model-led business processes. Therefore, while students may not need a deep understanding of coding concepts, a basic analytics foundation is an added advantage.

MBA in Artificial Intelligence for Business focuses on using AI technology and models to solve complex business problems, AI product management, and applying AI techniques to simplify business processes. However, MBA Business Analytics and MBA Data Science & AI teach using available data to strategize and assess future business goals and data-driven decision-making using statistical analysis, predictive modelling, and visualization.

An MBA in Artificial Intelligence opens diverse career opportunities across industries such as technology, healthcare, retail, telecom, and consulting. Graduates can pursue strategic and AI for business leaders roles including Business Analyst, Data Analyst, Business Intelligence Analyst, AI Business Analyst, AI Strategy Associate, AI Product Manager, and Supply Chain Analytics Manager, helping organizations leverage AI for business growth and decision-making.

Yes, MBA in Artificial Intelligence for Business course includes projects and casework to help students build impactful portfolios. Students regularly work on projects and assignments that help them develop skills in analytics, predictive modelling, business intelligence, data storytelling, and financial technology tools. Students work on individual and live projects and are required to submit a dissertation in the final year.

The demand for AI-enabled business roles is widespread across industries due to growing integration of AI technologies in business solutions and need for AI strategy for business. The job roles expand across consulting, healthcare, banking, and other sectors as well. Some of the top roles for MBA in Artificial Intelligence jobs include Data Analyst, AI Product Manager, AI Strategist, etc.