How to actually pick a college major (framework, not aptitude quiz)

Every year, roughly 20 million students in India and 4 million in the US pick a college major. Most do it with less deliberation than they'd give a laptop purchase. The 3-word answer from an aptitude quiz ('you're analytical!') does not survive contact with reality.

Here's the framework we use with students on the platform. Five dimensions, weighted differently based on your situation.

The five dimensions

1. Interests — what pulls your attention naturally

Not 'what do I like?' — that's too abstract. Instead: what do I read about voluntarily on a Sunday? What YouTube rabbit holes do I fall into? What conversations do I stay in the longest? These are stronger signals than any test.

Formalise with Holland RIASEC — six-letter code (RIASEC = Realistic / Investigative / Artistic / Social / Enterprising / Conventional). Your top-two letters usually cluster around 3–4 major families. If your test says IA and you pick CE, expect friction.

2. Aptitudes — where your natural processing speed is above average

Distinct from interest. You can be interested in something you're not naturally strong at. Aptitude covers: fluid reasoning (Gf), crystallised knowledge (Gc), quantitative reasoning (Gq), verbal comprehension (Gvc), visual-spatial (Gv).

A CS degree is much harder without strong Gf + Gq. A humanities degree is much harder without strong Gvc + Gc. Aptitude doesn't predict success alone, but it does predict effort-to-reward ratio.

3. Market — what's actually paying, and where

Most students under-weight this. Some over-weight it (see: everyone in India doing CS in 2019–2021). The right way: know the market signal but don't let it dominate.

Look at 5-year trends, not the current year. Look at ceiling (top-10% salary) as well as floor (median). Look at geographic distribution — if the highest-paying roles are all in San Francisco and you want to stay in Chennai, the number changes.

4. Optionality — what doors does this open (and close)

A B.Tech CS degree opens ~500 careers (SWE, PM, data, ML, consulting, business, entrepreneurship, and closes almost none). A B.Sc in Marine Biology opens ~40 careers and closes many. Neither is better; they're different bets.

Younger students should bias toward higher-optionality majors. Older students who've already been in the workforce can afford lower-optionality specialisation.

5. Constraints — money, geography, family, health

Rarely discussed explicitly but always present. Can your family fund 4 years at ₹8L/year? Can you leave your home city? Does someone in the family need care that limits your options? These constraints often eliminate half the theoretically-optimal choices upfront. Better to acknowledge them at step 1 than to plan around them at step 4.

Weighting the dimensions

Not every dimension carries the same weight for every person. Rough guidance:

• If you're in the top 5% academically, weight interests more heavily. You can afford to optimise for love because the market will find you regardless.
• If you're in a financially tight family, weight market and constraints more heavily. Optionality matters less than a job at year 4.
• If you're the first in your family to attend college, weight optionality more heavily. You don't yet know what you don't know; keep doors open.
• If you're already burned out from Class 12, weight love/interest more heavily. Another 4 years of grinding at something you dislike is unlikely to work.

Common failure modes

Failure mode #1: 'The one dimension'

Picking purely on interest (majoring in music production because you love music, without checking market) or purely on market (majoring in petroleum engineering in 2010 because it paid well, ignoring the industry's terminal decline). Any single dimension leaves you exposed.

Failure mode #2: 'Extending the past'

You were good at Physics in Class 12 → therefore you should do Physics in college → therefore you should do research physics for your PhD. Each step feels like continuation of the last. But 'I was strong in Class 12 Physics' is a weak signal for 'I want to research condensed matter for 8 years'.

Failure mode #3: 'The safe zone'

Picking the major with the highest median salary but the lowest ceiling. Common in India: 'B.Tech is safe'. In 2026, safe means being locked out of the top 10% of outcomes for the sake of a ₹5L floor. Sometimes worth it, often not.

Failure mode #4: 'The audience'

Picking the major that impresses the audience (parents, extended family, WhatsApp neighbours) rather than the audience of self-at-30. The audience you're actually optimising for should be older-you.

Case examples

Case A: Ravi, Class 12, PCM, 92% board

Interests: reads sci-fi novels obsessively, obsessed with rocketry videos. Holland RIASEC: RIA. Family: middle-class, can fund ₹6L/year but not more. Constraint: prefers to stay in South India.

Framework says: Aerospace Engineering at IIST Trivandrum (fully funded, matches interests exactly) OR B.Tech Mechanical + Aerospace minor at NIT Trichy / IISc. Skip generic CS at a tier-3 college even if the placement stats look better.

Case B: Priya, Class 12, Commerce, 88% board

Interests: watches business docs, has run 3 small resale businesses on Instagram. Holland RIASEC: ES. Family: father runs textile business, expects Priya to eventually take it over.

Framework says: B.Com (Hons) + CA Foundation at Delhi University, OR BBA at Christ Bangalore. NOT MBA-first (weak ROI without work experience). Optionality here means keeping family business AND independent path both open.

Case C: Aman, PG-1 pivot, 6 years in IT services

Interests: increasingly drawn to psychology + writing. Holland RIASEC: SA. Constraint: needs to hit ₹15L salary within 18 months to sustain lifestyle.

Framework says: M.Sc Applied Psychology while continuing IT job (evening programme). Not full-time MA. Not full switch to writing. Bridge-build over 18 months → move to UX research or HR analytics roles that combine both backgrounds.

Tools we use on the platform

The My Report page runs your inputs through all five dimensions and gives you a top-3 shortlist with visible reasoning. Not 'do this'; instead: 'here are 3 paths and here's the tradeoff between them'. Take the Holland test + Big-5 first, then request the report. Adjust the weighting if you have specific constraints we couldn't see.

The one-line summary

Pick the major where interest × aptitude × market × optionality × constraint has the highest product — not the highest single dimension. A 7×7×6×5×8 beats a 10×3×5×2×9.