IIM Sirmaur Online MBA / Executive MBA Guide 2026

Fees and Payment Planning

The academic fee for each IIM Sirmaur MBA with AI specialisation is ₹8,00,000. The academic fee is ₹4,00,000 for Year 1 and ₹4,00,000 for Year 2, with payment split twice per year. A separate ₹10,000 registration fee is payable to Futurense and is refundable only if the candidate is not selected. Campus immersion charges are listed separately at around ₹10,000 per immersion and may vary depending on applicable arrangements.

For a working professional, the right way to judge this fee is to compare it against the duration, IIM degree value, specialisation fit, opportunity cost saved by continuing the job, and the practical usefulness of AI-led learning in the current role. The fee should be planned like a serious career investment, not like a short-term certificate cost. Learners should also keep a buffer for travel, campus immersion, device/internet readiness and any admission-related charges.

Eligibility and Admission Process

The official eligibility for the MBA with AI for Working Professionals includes a Bachelor’s degree of 12+3 years with at least 55% marks for General/OBC candidates and 50% for other categories, along with minimum 2 years of professional work experience. The programme is best suited for professionals with roughly 2-15 years of experience across managerial, operational, analytical, consulting or strategic roles.

The admission process includes application, pre-screening assessment, personal interview, document verification, admission offer and onboarding. Valid CAT, GMAT, XAT, GATE or GRE scores may be accepted, or candidates may appear for IIM Sirmaur’s pre-screening test. The pre-screening test is described as an online MCQ-based aptitude assessment covering areas such as math foundation, data interpretation, business and AI awareness, and logical reasoning. Final selection depends on the candidate profile, assessment and interview performance.

How the Curriculum Is Structured

The first three trimesters build a common base. Students study business statistics, organisational behaviour, financial reporting and management accounting, marketing management, managerial economics, operations and logistics, artificial intelligence for business, strategic management, and leadership and negotiation in the age of AI. This common base matters because many applicants come from different functions and may not have formal management training.

From Trimester 4 onwards, the learner moves into the chosen specialisation. Across tracks, the programme uses AI applications, dashboards, data privacy, governance, IP management, AI agents and a capstone project. The AI Clinic is positioned as a hands-on component where learners can work on enterprise AI projects using tools such as ChatGPT, Zapier, Notion AI, LangChain and Power BI. For a working professional, this practical orientation is important because career value comes from applying learning at work, not only from attending weekend classes.

Individual Course Explanations

1. MBA: Business Transformation & Agentic AI - IIM Sirmaur

This track is suitable for professionals who want to lead AI-first transformation across teams, workflows and business functions. It covers decision-making dashboards, GenAI and agentic AI applications, business forecasting, customer analytics, pricing analytics, change management, workflow redesign, and AI transformation project management. It may be a strong fit for consultants, transformation managers, product leaders, founders, operations managers and professionals preparing for cross-functional leadership roles.

2. MBA Specialization in AI-Powered Finance & Fintech

This track is built for finance and banking professionals who want to combine financial decision-making with AI-led analytics. The specialisation includes fintech for banking and investments, financial statement analysis, investment management, portfolio analysis, corporate valuation in a digital world, financial derivatives and risk management. It can be useful for learners in BFSI, fintech, corporate finance, treasury, investment operations, financial analytics and risk-related roles.

3. MBA Specialization in AI Powered Marketing and Growth

This track is relevant for marketing, growth, sales, product and customer-facing professionals. It covers sales and distribution management in the AI age, AI-driven social media marketing and community building, product management, pricing strategy, marketing automation, customer behaviour and CRM. The value of this track is that it connects AI with customer acquisition, retention, personalisation and growth systems, which are becoming important in consumer businesses, SaaS, EdTech, fintech, retail and digital-first companies.

4. MBA in AI for Operations & Supply Chain - IIM Sirmaur

This track is designed for professionals in operations, procurement, logistics, supply chain planning, manufacturing, quality and process excellence. It covers global logistics, supply chain analytics and strategy, AI-powered procurement and supplier risk management, AI-driven planning and forecasting, warehouse fulfilment and automation, service operations with agentic AI, quality management, route planning, logistics optimisation, GenAI for lean, Six Sigma and process optimisation. It is a practical track for professionals working with cost, speed, efficiency and service reliability.

5. MBA in AI-Enabled Tourism Management - IIM Sirmaur

This is a differentiated track because IIM Sirmaur is known for management education connected with tourism and hospitality contexts. The track covers destination planning and management, tourism platforms and products, tourism analytics and project management, tourism experience design, brand positioning, and travel and tourism laws and regulations. It may suit professionals in hospitality, travel platforms, destination marketing, tourism boards, experience design, aviation services and regional tourism entrepreneurship.

Career Value: What Can This Programme Support?

The career value of this programme depends on your present role, experience level, learning discipline, capstone quality and how actively you apply AI-led management thinking at work. It can support professionals who want to move from execution to decision-making, from functional work to cross-functional leadership, or from traditional management to AI-enabled business transformation.