Track C · AI for Management

Track C

A 7-course AI specialization for BBA, MBA, PGDM, B.Com, and M.Com students at Indian private universities. Strategy, marketing, PM, finance, ops, HR, governance — all with AI. NEP-aligned, on-campus.

Talk to our partnerships team Download the Track C curriculum

Track C curriculum snapshot — seven courses C1 through C7.

NEP 2020Credit-mapped NAACEvidence-ready AICTEModel-curriculum aligned NBAOBE-mapped

The course list

8 courses in Track C.

Each module is co-evaluated by Kompas resident faculty and your university's academic council. Module content refreshes every six months.

AI for Business Strategy

Sem 33 credits

Skill outcomes

Run Porter-meets-AI competitive analysis on a real industry
Conduct LLM-driven scenario planning and market intelligence sweeps
Apply build-vs-buy frameworks to AI capability decisions
Diagnose organizations against an AI maturity model

AI-Powered Marketing & Growth

Sem 33 credits

Skill outcomes

Build AI-powered marketing campaigns end-to-end
Design ML-driven customer segmentation and personalization engines
Operate AI creative pipelines for copy, image, and video
Measure AI marketing ROI within privacy and consent constraints

Prerequisites: C1

AI Product Management

Sem 43 credits

Skill outcomes

Lead discovery and prioritization for AI products under uncertainty
Prototype AI products using Cursor, Lovable, and v0
Design evaluation strategies for non-deterministic systems
Plan GTM and pricing for AI products

Prerequisites: C1

AI in Finance

Sem 43 credits

Skill outcomes

Apply ML to credit scoring, fraud detection, and algorithmic trading basics
Use GenAI for equity research and BFSI operations workflows
Navigate RBI guidelines and the DPDP Act for financial AI
Run AI risk management for financial services use cases

Prerequisites: C1

AI in Operations & Supply Chain

Sem 53 credits

Skill outcomes

Build demand forecasting and route optimization models
Deploy predictive maintenance and warehouse AI workflows
Apply AI to retail and logistics operations
Conduct a data-readiness audit for an operations function

Prerequisites: C1

AI in HR & People Analytics

Sem 53 credits

Skill outcomes

Implement AI-assisted sourcing, screening, and attrition modeling
Run sentiment analysis on internal communications
Design ethical guardrails for AI in hiring
Map the legal exposure landscape for HR AI deployments

Prerequisites: C1

AI Governance for Managers

Sem 63 credits

Skill outcomes

Apply EU AI Act, India DPDP, and sectoral compliance frameworks
Evaluate AI vendors and AI investments rigorously
Use ethical decision frameworks to triage AI deployments
Lead a board-level conversation on AI investment without external consultants

Prerequisites: C1 → C2 → C3 → C4 → C5 → C6

Capstone — Live Consulting Project

Sem 64 credits

Skill outcomes

Deliver a semester-long consulting engagement for a partner company
Redesign an AI-driven go-to-market or AI-readiness audit for a real client
Develop a deployable AI governance framework for a BFSI or mid-market sponsor
Defend recommendations to a joint university and industry evaluation panel

Prerequisites: C1 → C2 → C3 → C4 → C5 → C6 → C7

Skill Score on exit

Mastery is measured, not assumed.

Every Track C graduate exits with a verifiable Kompas AI Skill Score, calibrated against an industry-co-signed rubric and applied identically across every campus we operate on.

Foundational
Practitioner
Applied
Advanced
Expert

Track C graduates typically exit between Practitioner and Applied. Industry-sponsored capstone work moves the strongest students into the Advanced band.

Capstones from this track

What a Track C student ships at the end.

Examples below are illustrative until real partner-cohort capstones land. The shape — sponsor, problem, outcome, public artefact — does not change.

See the full capstone library

Track CStrategy · GovernanceMid-market BFSI lender

AI-readiness audit for a mid-market BFSI lender

Problem

A mid-tier non-bank lender wants to deploy AI in underwriting and collections without tripping RBI guidance or DPDP exposure.

Target outcome

A 12-page AI-readiness audit with a sequenced 18-month roadmap, a vendor-evaluation framework, and a board-ready risk-and-compliance memo. Defended to the lender's CXO panel.

Track CMarketing · OperationsManufacturing SME exporter

AI-driven GTM redesign for a manufacturing SME

Problem

A 200-employee manufacturing exporter has stagnated lead generation. The existing CRM and content stack predate the LLM era and lack usable customer data.

Target outcome

A reconstituted GTM stack with LLM-driven segmentation and outbound personalisation. Pilot quarter shows a 2× or better rise in qualified leads at half the prior tool cost. Includes a measurement plan the marketing lead can run after the cohort leaves.

See 4 more Track C capstones →

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