$315 Billion Tech Industry.
Every Company is a Technology Company.

The Opportunity

Technology is being rebuilt around AI, and the business side of it cannot keep up. Every product needs a manager who understands engineering. Every company needs a strategy that accounts for AI, not just discusses it. The opportunity is real, and everywhere. And it belongs to graduates who can spec a product, evaluate an AI system, and defend both to a room full of engineers.

At UDIT, you learn to be that graduate.

What Makes This Different?

The Complete Practice of Technology Business Management.

how we think about learning

The Complete Practice of Technology Business Management.

01 — Sprint Cadence From Day 1

Not case studies about product management. You build real products on a sprint cadence, with stand-ups, sprint reviews and changing requirements shaped by user feedback, just like a real technology team.

02 — AI Evaluated, Not Just Discussed

Every specialisation semester includes a real AI readiness audit or implementation brief. Learn to evaluate AI opportunities and build solutions to a standard technical teams can actually act on.

03 — Python as Default Infrastructure

Data architecture, cohort analysis, A/B testing: you code them in Python, not describe them in a slide. Build the fluency to work confidently with the engineering teams behind your products.

04 — Governance, Not Just Growth

Learn AI governance, data protection and responsible AI deployment as core business skill, not compliance footnotes added at the end.

05 — Founder Instinct, Built In

Build your understanding of unit economics, venture evaluation and startup fundamentals alongside technology and business strategy. Learn to operate inside a startup as confidently as you would inside an enterprise.

06 — Industry Immersion

Work on studio projects with real technology companies and practising product, strategy and technology leaders. By graduation, you've defended your work in front of the industry, repeatedly.

Each Year Adds to Your Portfolio.

8 semesters. Each builds on the last. Every specialisation semester produces tangible, portfolio-worthy work and includes direct industry contact.

YEAR 1 Build Business & Studio Foundation

Build a strong foundation in how technology shapes businesses, markets and organisations. Learn the fundamentals of business, technology, systems thinking and management through studio-based, project-driven learning before specialising. Develop the analytical, problem-solving, communication and collaboration skills needed to work across technology and business.

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Build a strong foundation in how technology shapes businesses, markets and organisations. Learn the fundamentals of business, technology, systems thinking and management through studio-based, project-driven learning before specialising. Develop the analytical, problem-solving, communication and collaboration skills needed to work across technology and business.

Core courses

Business Fundamentals

Design & Systems Thinking

Communication & Collaboration

Digital & AI Tools

Research Methods

Skills

Business acumen, commercial thinking and decision-making

Systems thinking, problem-solving and innovation

Communication, teamwork and stakeholder management

Digital fluency, AI tools and technology-enabled problem-solving

Research, critical thinking and insight generation

Integration Project

Foundational studio brief team-based cross-domain

Industry Immersion

Industry visits guest practitioner sessions foundational studio panel

YEAR 2 Assess Tech Needs. Solve Problems. Build Products

Learn how technology businesses turn user problems into products. Understand how software gets built, develop product thinking and learn to work with data, platforms and business models. Apply your learning by researching a real user problem and developing a product through real sprints with a technology company.

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Learn how technology businesses turn user problems into products. Understand how software gets built, develop product thinking and learn to work with data, platforms and business models. Apply your learning by researching a real user problem and developing a product through real sprints with a technology company.

Core courses

How Software Gets Built (SDLC & Agile)

Product Thinking & PRD Writing

Data Architecture & Engineering Fundamentals

Platform Economics & Strategic Analysis

Skills

Software development lifecycle, Agile methods and sprint planning/p>

User research, product thinking and definition

Data structures, data pipelines and technical problem-solving

Platform models, business strategy and competitive analysis

Integration Project

Problem Definition Document with user research and competitive analysis Product Requirements Document demoed to a client's product leadership

Industry Immersion

Sprint-cadence studio with a real technology company client product panel

YEAR 3 Shape Strategy. Work With AI. Lead With Data.

Move from building products to shaping technology strategy. Learn to assess AI readiness, understand competitive positioning, work with real user research and use data to make better decisions. Apply your learning to real technology challenges, build strategic roadmaps and defend your recommendations before industry leaders.

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Move from building products to shaping technology strategy. Learn to assess AI readiness, understand competitive positioning, work with real user research and use data to make better decisions. Apply your learning to real technology challenges, build strategic roadmaps and defend your recommendations before industry leaders.

Core courses

AI & Machine Learning for Business

Technology Strategy & Competitive Positioning

User Research Methods

Growth Metrics & Experimentation Design

Product Management Practicum

Decision Science Under Uncertainty

Startup & Venture Fundamentals

Advanced Data Analysis & AI Governance

Skills

Advanced Data Analysis & AI Governance

Technology strategy, competitive analysis and strategic planning

Field research, user insights and evidence-based problem-solving

Growth analytics, experimentation and data-driven optimisation

Product management, prioritisation and cross-functional execution

Data-driven decisions, risk assessment and problem-solving

Venture models, entrepreneurial thinking and opportunity assessment

Data analysis, AI governance and responsible technology

Data analysis, AI governance and responsible technology

Integration Project

Technology audit report and AI readiness assessment strategic roadmap defended before a client panel Capstone I research document defended before an industry panel

Industry Immersion

Live technology company partnership external panel of technology leaders

YEAR 4 Choose Your Path. Build Expertise. Lead What's Next.

Take your technology business capabilities into the real world. Build industry experience through an internship, then choose your path in Product, Technology Consulting & Strategy, or Venture & Operations. Bring your learning together through a cross-disciplinary leadership intensive and an independent capstone, defending your work before an external industry panel and showcasing it in your portfolio.

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Take your technology business capabilities into the real world. Build industry experience through an internship, then choose your path in Product, Technology Consulting & Strategy, or Venture & Operations. Bring your learning together through a cross-disciplinary leadership intensive and an independent capstone, defending your work before an external industry panel and showcasing it in your portfolio.

Core courses

Product Studio / Strategy Studio / Founder Studio

Leadership

Negotiation & Decision-Making

Career Preparation Lab

Independent Capstone

Skills

Product strategy, technology consulting, venture building and execution

Leadership, collaboration and stakeholder management

Negotiation, strategic thinking and business decision-making

Professional readiness, personal branding and interview skills

Independent research, critical thinking and industry-focused problem-solving

Integration Project

Capstone II — original research of publishable quality defended externally

Industry Immersion

Industry internship cross-programme leadership simulations career preparation lab mock interviews portfolio exhibition

Career paths

Where Technology Business Management Graduates Go.

Product Management

Associate Product Manager Product Manager Senior PM Head of Product

Google Microsoft Amazon Razorpay Zomato Freshworks

Technology Business Analysis

Business Analyst Senior Analyst Manager Technology Lead

Deloitte EY KPMG Accenture MNC strategy teams

Startup Generalist

Founding Team Member Chief of Staff Operations Lead

Series A+ startups venture-backed companies in NCR

Technology & Strategy Consulting

Analyst Consultant Senior Consultant Manager

McKinsey Digital BCG X EY Technology Consulting Big 4 advisory

TBM Entrepreneurship

Launch a technology venture, product studio, or AI-native startup.

UDIT incubator seed funding access mentor network cross-school support from the School of Management's Business Ventures & AI programme

Every product you've ever used was specced by someone who understood both the user and the engineering behind it. Every technology strategy that worked was defended by someone who could tell the difference between what's technically possible and what's commercially wise. Be that someone.

Spec products, not just slides Evaluate AI, don't just cite it Code in Python, speak to engineers Defend your work before the industry Treat governance as a core skill Learn sprint cadence by living it Graduate with a portfolio, not just a transcript
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Spec products, not just slides Evaluate AI, don't just cite it Code in Python, speak to engineers Defend your work before the industry Treat governance as a core skill Learn sprint cadence by living it Graduate with a portfolio, not just a transcript

this is your call.

Limited Seats.

Apply Now

Fee, Admission Eligibility and Scholarship

Annual Fees

To be finalized

Eligibility

10+2 in any stream with a min 50% aggregate.

Scholarships

Merit-cum-means scholarships.

Eligibility

10+2 in any stream with a min 50% aggregate.