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IIT KGP Applied Data Science & Agentic AI Program – Fees, Curriculum & Career Outcomes

AI is rapidly shifting from generating insights to taking action within business workflows. 

  • The Executive Post Graduate Certificate in Applied Data Science and Agentic AI from IIT Kharagpur Online costs ₹1,77,000 (inclusive of taxes). The 7 to 8-month curriculum covers statistical foundations, data engineering, predictive modeling, and agentic workflows, positioning graduates for roles like Data Scientist or AI Engineer earning ₹8 to ₹25+ LPA 

  • The curriculum combines data science fundamentals with cutting-edge AI concepts, covering statistics, machine learning, SQL, predictive modeling, Generative AI, RAG systems, AI copilots, and agentic AI workflows that support business decision-making. 

  • Learners build a practical portfolio through hands-on projects and an industry capstone, gaining experience in predictive analytics, experimentation, AI-powered analytics, agentic AI tools, and autonomous AI systems that can be showcased to employers. 

  • Best suited for data analysts, business analysts, data scientists, and technology professionals, the programme helps develop future-ready skills in applied data science, decision intelligence, and AI-enabled business transformation while offering an IIT Kharagpur executive credential and alumni network access. 

In this blog, you'll learn about the programme's fees, curriculum, projects, eligibility, learning experience, career outcomes, admission process, and key pros and considerations. You'll also discover who the programme is best suited for and how it can support career growth in the evolving AI-driven analytics landscape. 

What Is the IIT KGP Applied Data Science & Agentic AI Program 

In the Agentic Era, the real question isn't whether your organization uses AI, it's whether you can lead it.  

Every company now has access to the same models; what sets professionals apart is the ability to frame the right problem, run the right experiment, identify true causality, and direct AI systems to scale that judgment. That's the professional the Executive Post Graduate Certificate in Applied Data Science & Agentic AI, offered by IIT Kharagpur's Department of Artificial Intelligence, is built to create. 

As an advanced applied data science program, it combines core analytics skills with emerging technologies such as agentic AI, helping professionals move beyond insights and toward AI-powered decision-making. 

IIT KGP Applied Data Science Program at a Glance 

Before diving into the curriculum and fees, here's a quick snapshot of the programme's essentials: 

Parameter 

Details 

Programme Name 

Executive Post Graduate Certificate in Applied Data Science & Agentic AI 

Institute 

IIT Kharagpur 

Department 

Department of Artificial Intelligence 

Duration 

7 months 

Learning Mode 

100% Live Online 

Eligibility 

Graduation with minimum 50% marks 

Total Fee 

₹1,77,000 

Seat Booking 

₹10,000 

EMI 

Starts at ₹6,031/month 

Core Modules 

6 

Capstone 

Industry Capstone 

Certificate 

Executive Certificate from IIT Kharagpur 

What Does the Programme Focus On? 

This isn't a generic data science course with AI mentioned in passing. This IIT KGP Applied Data Science Program follows a specific learning journey that blends traditional analytics with modern AI capabilities: 

Figure: IIT KGP programme learning journey from data foundations and analytics to machine learning, generative AI, agentic AI, and AI-powered decisions. 

Why this progression matters: 

  • Beyond prediction: Most traditional programs stop once a model produces a forecast. This one continues into action. 

  • AI as a participant, not just a tool: Learners work with AI systems that help make decisions, not just inform them, within human-defined guardrails. 

  • AI-native analytics, not an add-on: AI isn't a bonus module bolted onto a standard syllabus. Instead, agentic AI concepts, automation, and decision intelligence are integrated throughout the learning path. 

  • Decision intelligence as the goal: Statistics and machine learning form the base, but everything feeds into framing problems, running experiments, and directing AI at scale. 

In short: it's less "data science plus AI" and more AI-native decision-making, built on rigorous data science foundations. 

Why Is Agentic AI Included in an Applied Data Science Program? 

Traditional data science courses often stop at building models and dashboards. This applied data science program goes further by connecting analysis directly to action, teaching learners how AI systems can execute, not just report. Here's how the pieces fit together: 

  • Data analysis: Forms the base layer, understanding patterns before you can act on them meaningfully. 

  • Business decisions: The actual goal of all analytics work, insights only matter if they drive real choices. 

  • AI copilots: Assist analysts by accelerating reporting, exploratory work, and insight generation through modern agentic AI tools. 

  • Automated analytics: Reduces manual repetition so professionals can focus on judgment calls. 

  • RAG systems: Ground AI outputs in real, contextual data instead of generic responses. 

  • Agentic workflows: Let AI systems take multi-step actions autonomously within defined boundaries. 

  • Human judgment + AI systems: Keeps decision-making accountable even as automation increases through a structured agentic AI framework. 

Who Should Choose the IIT KGP Applied Data Science & Agentic AI Program? 

Fit matters more than hype when picking an executive programme. Here's how this one lines up against different professional backgrounds: 

Data Analysts 

Best suited for professionals who want to move beyond reporting and dashboards into more advanced, forward-looking work. The programme helps build: 

  • Predictive analytics: Forecasting outcomes instead of only describing past trends. 

  • Experimentation: Designing tests that validate decisions with real evidence. 

  • Causal AI: Understanding true cause-and-effect, not just correlation. 

  • AI-powered analytics: Using AI tools to speed up and deepen analytical work. 

Business Analysts 

Useful for analysts who want to strengthen their influence on strategic decisions rather than just reporting on them. Key areas include: 

  • Data-driven decision-making: Backing recommendations with solid analytical grounding. 

  • Predictive modelling: Anticipating business outcomes ahead of time. 

  • Experimentation: Using structured tests to measure real business impact. 

  • AI-assisted analytics: Leveraging AI copilots to accelerate day-to-day analysis. 

Data Science Professionals 

Relevant for data scientists who already have strong ML foundations and want to add the newer AI-native layer to their skillset: 

  • Generative AI: Applying GenAI to accelerate reporting and content generation. 

  • RAG: Grounding AI outputs in accurate, contextual enterprise data. 

  • AI copilots: Collaborating with AI systems on everyday analytical tasks. 

  • Agentic analytics: Building workflows where AI agents take autonomous action. 

AI & Technology Professionals 

Potentially a good fit for professionals interested in exploring the intersection of Data + AI + Business Decision-Making, particularly those who want to understand how AI systems get applied to real analytical and business problems, not just technical ones. 

Who May Need a Different Programme? 

This programme isn't built for everyone. Learners seeking deep AI engineering or research roles, or those specifically looking for a conventional postgraduate degree, should evaluate programmes designed more directly for those objectives, since this one is oriented toward applied, decision-focused analytics rather than research or engineering depth. 

IIT KGP Applied Data Science Curriculum: What Will You Learn? 

The curriculum is structured as six core modules plus an industry capstone, moving progressively from statistical fundamentals to autonomous AI systems. This IIT KGP Applied Data Science Program is designed to help learners gain both foundational and future-ready AI skills. 

Module 1 – Machine Learning & Statistical Foundations 

Covers analytical thinking, metric design, descriptive and inferential statistics, probability, and reasoning beyond p-values, the groundwork for everything that follows. 

Module 2 – Data Engineering, SQL & Modern AI Data Stack 
Focuses on SQL, data preparation, and the infrastructure needed to support AI-driven analytics at scale. 

Module 3 – Data Visualization, Business Analytics & AI Storytelling 
Teaches how to turn raw numbers into business insights and communicate findings clearly to non-technical stakeholders. 

Module 4 – Experimentation, Causal AI & Predictive Modelling 
Walks through the progression from correlation to experimentation to causality to prediction to decision, core to evidence-based work. 

Module 5 – Generative AI, AI Copilots & Analytics Automation 
Explores how generative AI assists with reporting, automation, and generating insights faster. 

Module 6 – Agentic AI, RAG Systems & Responsible AI 
Brings it together: RAG for contextual intelligence, agents for autonomous workflows, responsible AI for accountable deployment, and exposure to leading agentic AI tools used in modern enterprises. 

IIT KGP Applied Data Science Capstone & Projects 

Beyond coursework, the program is built around a portfolio you can actually show employers. Learners work through several structured projects before tackling the final capstone. Here's what that portfolio includes: 

  • Predictive Analytics Solution: Builds a model that forecasts outcomes and translates them into business recommendations. 

  • Business Experimentation Framework: Applies A/B testing and causal analysis to measure real business impact. 

  • AI-Powered Analytics Copilot: Works alongside AI to support reporting, analysis, and insight generation. 

  • Agentic Decision Workflow: Uses AI agents to reason through enterprise data and support decision workflows. 

  • RAG-Enabled Business Intelligence System: Combines retrieval-powered analytics with enterprise data for context-aware insights. 

  • Industry Capstone: Integrates ML, analytics, GenAI, agentic AI, and experimentation into one domain-focused, portfolio-ready project. 

What Skills Will You Gain From the Programme? 

Skills in this programme build in layers, starting with technical fundamentals and progressively adding AI-native capabilities. You begin with statistical and engineering foundations, move into analytical and visualization skills, and finish with the ability to work alongside generative and agentic AI systems in real decision-making contexts. 

  • Statistical reasoning: Grounds every analytical decision in sound methodology rather than guesswork. 

  • Machine learning & predictive modelling: Enables forecasting and pattern recognition across business problems. 

  • SQL & data engineering: Builds the technical base needed to work with real-world data pipelines. 

  • Data visualization: Turns complex findings into insights stakeholders can actually understand. 

  • Generative & Agentic AI: Adds automation and autonomous reasoning to traditional analytics work. 

  • RAG systems: Keeps AI outputs grounded in accurate, contextual business data. 

IIT KGP Applied Data Science Learning Experience & Recognition  

Beyond the curriculum, the program includes several elements aimed at making the learning experience feel structured and credentialed. Here's what that includes: 

  • 100% Live Online Learning: Taught by IIT Kharagpur AIML faculty and industry experts, with real-time interaction. 

  • Executive Certificate from IIT Kharagpur: Recognizes completion with a formal executive credential (not a degree). 

  • On-Campus Graduation Ceremony: Concludes with an in-person award ceremony at IIT Kharagpur, with certificates presented by the Programme Director and Institute leadership. 

  • Executive Alumni Status: Grants access to the IIT Kharagpur Executive Education Alumni Network, including events, networking forums, campus visits, and an annual newsletter. 

  • Certificate With Distinction: Recognizes the top 10 percentile of performers in each cohort, noted on the credential itself. 

IIT KGP Applied Data Science Admission Process 

The admission process is designed to be straightforward and accessible for working professionals and aspiring data scientists alike. From submitting your application to securing your seat, each step helps ensure you're prepared to begin your learning journey with confidence. 

Step 1 – Complete the Application 

Fill in the required details and complete the application. 

Step 2 – Get Shortlisted 

Receive a Provisional Offer Letter after shortlisting. 

Step 3 – Block Your Seat 

Pay the seat-booking amount and submit the required documents. 

Step 4 – Complete Verification & Enrolment 

After verification, complete the balance payment to confirm enrolment. 

IIT KGP Applied Data Science Career Outcomes 

The programme is designed to build applied data science and AI-native analytics capabilities that can support career progression across data, analytics, and AI-enabled decision-making roles, rather than promising a specific job title or salary outcome. 

What Career Paths Can Applied Data Science Open Up? 

Applied data science today spans a wide spectrum of roles, and this breadth is part of what makes the field valuable to learn. Depending on your background and interests, the skills built here can support movement toward: 

  • Data Science: Building and deploying models that solve real business problems. 

  • Applied Data Science: Applying statistical and ML techniques directly to industry use cases. 

  • Data Analytics: Extracting patterns and trends from structured and unstructured data. 

  • Business Analytics: Translating data insights into strategic business recommendations. 

  • Predictive Analytics: Forecasting outcomes to support proactive decision-making. 

  • AI-powered analytics: Using generative AI to accelerate reporting and insight generation. 

  • Decision intelligence: Combining data, causal reasoning, and AI to guide complex decisions. 

  • Agentic analytics: Working with AI agents that execute multi-step analytical workflows. 

How Can the Programme Help Data Analysts Upskill? 

For data analysts looking to grow beyond dashboards and reporting, the programme offers a clear upskilling path: 

Figure: Data analyst career progression from advanced analytics and predictive modelling to AI-native analytics. 

This progression moves you from descriptive, backward-looking analysis toward forward-looking, predictive work, and eventually toward using AI systems as active collaborators in the analytics process, not just tools for generating charts. 

How Can Business Analysts Benefit? 

Business analysts often sit closest to decision-makers, which makes AI-native analytical skills especially valuable for this group. The programme focuses on: 

  • Business metrics: Designing metrics that genuinely reflect business performance and goals. 

  • Experimentation: Running structured A/B tests to validate decisions with evidence. 

  • Predictive modelling: Forecasting business outcomes rather than relying on historical averages alone. 

  • AI-assisted analytics: Using AI copilots to speed up analysis and reporting cycles. 

  • Decision-making: Translating all of the above into recommendations leadership can act on. 

IIT KGP Applied Data Science Program: Pros & Considerations 

Every learning programme comes with its own advantages and trade-offs. Understanding both the strengths and key considerations of the IIT KGP Applied Data Science Program can help you make a more informed decision based on your career goals, experience level, and learning preferences. 

Strengths 

Considerations 

IIT Kharagpur credential 

₹1.77 lakh investment 

100% live online 

Requires consistent participation 

Six structured modules 

Seven-month commitment 

ML + statistics foundation 

Certificate is not a degree 

GenAI + Agentic AI 

Career results depend on individual execution 

Practical projects 

Learners should evaluate fit with their career goals 

Industry capstone 

- 

Executive alumni network 

- 

On-campus graduation ceremony 

- 

Taken together, the programme offers a strong academic credential, a curriculum built around where analytics is genuinely heading, and hands-on projects that translate into a real portfolio. The trade-offs are mostly practical, the time, cost, and consistency it demands, so it's worth evaluating against your own career goals and current commitments before enrolling. 

Why Choose IIT Kharagpur for Applied Data Science & Agentic AI? 

Choosing where to earn a credential matters as much as the curriculum itself. IIT Kharagpur brings together institutional legacy, top rankings, dedicated AI faculty, and industry alignment, giving this programme a depth that's hard to match elsewhere. 

  • India's first IIT: Established in 1951, carrying over seven decades of academic rigour and a genuinely respected, credible executive certificate. 

  • Top-ranked engineering institute: Ranked 5th in Engineering by NIRF 2025, reflecting sustained excellence in teaching, research, and AI contributions nationally. 

  • Dedicated Department of AI: Built by faculty specializing specifically in artificial intelligence, not a general department, ensuring real depth in every module. 

  • Faculty with research depth: Professors bring active research in NLP, information retrieval, and responsible AI, paired with industry experts for practical relevance. 

  • On-campus recognition & alumni network: Concludes with an on-campus graduation ceremony and grants Executive Alumni Status with lasting network access. 

Conclusion 

The IIT KGP Applied Data Science Program offers a structured pathway for professionals looking to build expertise in applied data science, Generative AI, and agentic AI. With a curriculum covering machine learning, data engineering, predictive analytics, RAG systems, and real-world projects, the programme focuses on practical, industry-relevant skills. Its live online format, industry capstone, and IIT Kharagpur credential make it a valuable option for learners seeking to strengthen their analytics capabilities and prepare for evolving AI-driven roles and decision-making responsibilities.

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