B.Tech. Computer Science & Economics Application Form at UPES 2027

The B.Tech. in Computer Science & Economics (CS Econ) is a four-year, ~160-credit program that brings together core Computer Science and core Economics to help students model real-world markets using computation. Built around computational finance, game theory and machine learning, the curriculum balances foundational coursework with electives, capstone projects and internships, delivered through project-based, interdisciplinary, data-powered learning.

A key differentiator is its emphasis on mechanism design (a specialised area of game theory), where students learn to build “truthful” auctions and efficient matching systems—skills relevant to pricing and allocation problems such as surge-pricing models or ad-bidding engines. The program also develops “quantamental” capability—combining data, algorithms and rigorous economic theory—so students can apply models to real datasets across sectors such as energy, logistics and infrastructure.

As AI systems increasingly participate in buying, selling and optimisation, the program includes a unique focus on AI alignment and incentive engineering through computational incentives—training students to reduce the risk of models “gaming the system”. It is designed for the “techno-social thinker”: someone who enjoys maths and coding, and is equally curious about how markets move, how platforms grow, and how incentives shape outcomes.

Interested students must meet the following minimum eligibility criteria for B.Tech Computer Science Economics: Minimum 50% Marks in Class X and XII. Along with 50 % in PCM (Physics/Chemistry and Mathematics) in Class XII

As markets, platforms and policy become increasingly data-led, demand is rising for professionals who can build systems and also explain incentives, pricing, risk and behaviour. The program aligns with shifts such as computational economics and market design in digital marketplaces, ML-powered econometrics for forecasting/optimisation, and modelling for risk analytics, consumer prediction, pricing and ESG decision support.

The salary ranges between ₹12-35 LPA and vary by location, skills and internships. Indicative roles and employers include:

Data Economist / Risk Analyst — employers: McKinsey, RBI, Google (Economics/Ads)
FinTech Analyst / Market Design / Algorithmic Trading — employers: Paytm, Razorpay, JPMorgan
Policy AI Specialist / Policy Analyst — employers: NITI Aayog, Deloitte, Meta
Quant Analyst / Quant Developer — employers: Goldman Sachs, quant firms
Behavioural Economist (Tech) / Product Analyst & Strategy — employers: Flipkart, Uber (Economics/Marketplace)