Every Indian Degree, RANKED

Degree ranking criteria (business-style “scorecard”)

The video ranks common Indian undergraduate degrees using four business outcomes:

• Employability (hireability): how readily employers can “hire + train + get ready for work.”
• Return on Investment (ROI): median/average salary vs degree cost (explicitly not topper salaries).
• AI resistance: how easily AI can replace the work associated with that degree (and how “AI friendly” the degree is).
• Optionality (career doors): how many career pathways remain open after graduation vs degrees that “close doors.”

Framework / playbook implied

• Use median/average outcomes (not extreme outliers) to estimate ROI.
• For each degree, score on Employability × ROI × AI Resistance × Optionality.
• If the degree is weak on any dimension, compensate by adding AI skills.

---

Top-tier degrees (highest overall outcomes)

1) B.Tech (Computer Science / IT) — #1 overall

• Employability: stated as ~80%.
• AI upskilling multiplier: adding AI skills to B.Tech dramatically improves outcomes.
  • Plain B.Tech CS/IT: ₹3.5–4.5 lakh (placement salary range mentioned).
  • B.Tech CS/IT + AI skills: ₹6–12 lakh (placement salary range mentioned).
• Message: treat AI as a “required competency layer,” not an optional extra.

2) MBBS — #2 overall

• Why it ranks highly: legal license effect—doctors can legally practice medicine, creating high opportunity density.
• Supply / demand lever: shortage of doctors → long-term earning potential.
• Compounding career logic: earning increases with experience; doctors reportedly have no practical retirement age.
• Tradeoff (execution risk): early years have low earnings and the long investment horizon can be difficult for first-generation doctors.
• Concrete constraint: government-seat admissions vs expensive private medical education; lack of family “infrastructure/ecosystem” delays earnings.

---

Mid-tier degrees (good outcomes, but need positioning)

B.Com + CA (together)

• Employability: ~62.8%.
• Earning potential: average CA placements ~₹12–13 lakh (mentioned).
• AI resistance nuance: CS/IT can be automated more than compliance/accounting authority.
  • AI can do CA-like work, but CA stamping/signature + regulatory authority cannot be replaced easily, preserving value.

MBA (but specifically from top colleges)

• Key qualification: “top 10–15” changes everything; otherwise the video recommends top ~80 colleges for this ranking tier.
• Employability (top 80): ~72.76%
• Median outcome (top 80): ₹4.5–₹10 lakh per annum (stated range).
• Top 101 schools: ₹12–15 lakh or more.

B.Pharm + Nursing (interesting tier due to market demand shifts)

B.Pharm

• Starting earnings: ₹3.5–₹4.5 lakh
• Market tailwinds: India is described as 3rd largest pharma country; AI is accelerating drug exploration, feeding demand for pharmacy grads.

Nursing

• India salary baseline: after 5–10 years, ~₹60k–₹70k/month (as stated).
• International optionality: learning German/Japanese can unlock higher-paying overseas roles (due to aging populations).
• Migration benefits: mentions permanent residency and ongoing welfare/health/pension benefits depending on country rules.
• Execution caveat: must target pathways/countries with demand; not all roles provide the same upside.

---

Third tier (moderate outcomes; strong “pathway stacking”)

B.Sc / BCA / BBA (as a group-level tier)

• Employability (B.Sc): ~61%
• B.Sc salary: ₹2.5–3 lakh (mentioned)
• Investment level: described as “not much,” functioning as a foundation for later stacking.

Actionable “optionality playbook” (degree stacking)

• From B.Sc → MSc (after an additional year), MBA, M.Tech, B.Ed, PhD, or shifts into commerce/finance and liberal arts/media/journalism.
• BCA described as “budget airline of Computer Science”:
  • Often followed by MCA to enter computer roles.
  • Can reach similar levels to B.Tech through AI certification + skilling.
• BBA:
  • Opens data analyst and financial analyst routes.
  • Can stack into MBA, CFA, CMA.

LLB (top ~100 colleges)

• Optionality emphasis: corporate law, judiciary options, and credibility effects.
• AI combo angle: “legal expertise + AI” becoming in-demand.

---

Bottom tier signals (weak employability/ROI/optionality; higher AI vulnerability)

BA (Bachelor of Arts)

• Employability: ~55% (explicitly “nearly half” not employable).
• Ranking rationale: weakest across employability, ROI, AI resistance, and optionality.
• Attribution: BA is framed as a civil-service launchpad; many “don’t do BA properly nor clear UPSC,” ending up with only BA credentials.

B.Architecture, Dentistry, Mass Communication, Hotel Management (problem areas explained)

B.Arch

• Lower starting salary: cited as ~₹2,500/month (as stated).
• Execution constraint: architecture is a 5-year degree and entry-level work is described as becoming AI-automated, with limited early downstream productivity unless you can reskill/re-navigate domains.

Dentistry

• Supply / demand imbalance:
  • WHO benchmark: ~1.2 dentists per 1,000 people
  • India: ~1.8 dentists per 1,000 people
  • Dentists are concentrated in urban areas, worsening density and high supply / low demand.
• Income model constraint: money mostly via private practice, but that requires expensive setup and early client acquisition (high friction for juniors).
• Outcome: some dentists “opt out,” limited alternative roles since their expertise is tightly scoped to teeth.

Mass Communication

• AI pressure: writing/reporting/research increasingly automated.
• Market structure challenge: new news channel creation is described as extremely difficult against entrenched incumbents; operational difficulty outweighs quality.

Hotel Management

• AI resistance high (robots not needed for front desk/human service).
• But optionality / ROI low:
  • Work-life balance “super hard.”
  • Better experiences exist only at “top” hotel chains; most hospitality is fragmented and offers less desirable job conditions (example contrast: branded luxury vs dhaba roles).

---

Key recommendations / “takeaways” (execution guidance)

• Choose degree tiers carefully (science/commerce/humanities matters less than matching to where the job market is going).
• Prefer high-performing tiers and, when possible, government seats/colleges to improve ROI (less cost for similar quality).
• Non-negotiable: add AI skills to any degree
  • Even if the curriculum doesn’t include AI, students should “design their own curriculum.”
  • “Become a student outside of the curriculum.”
• Adopt a skills-first hiring mindset
  • Degree-based hiring is becoming more redundant; companies increasingly evaluate skills.
  • Build a resume via in-demand skills, get “vouched,” and aim to demonstrate capability directly.

Entrepreneur / learning platform angle (business tactics, not investing)

• The creator promotes WebVeda with a year-long access model (₹2000/year) and a “outside curriculum” course bundle (time management, freelancing, personal brand, Python, AI agents, Meta/Google Ads mastery).
• Claims include a 100% refund policy and emphasizing affordability + community + job access.

---

Metrics and KPI-like figures mentioned (as stated)

• B.Tech CS/IT employability: ~80%
• MBBS employability: not given as a single % in the text, but ranked #2 primarily due to legal license + shortages.
• B.Com + CA employability: ~62.8%
• CA average placement: ~₹12–13 lakh
• MBA employability (top 80): ~72.76%
• MBA median pay (top 80): ₹4.5–₹10 lakh per annum (stated range)
• MBA pay (top ~101 schools): ₹12–15 lakh+
• B.Pharm starting pay: ₹3.5–₹4.5 lakh
• B.Sc employability: ~61%
• B.Sc salary: ₹2.5–₹3 lakh
• BA employability: ~55%
• Dentist density (WHO vs India):
  • WHO: ~1.2 / 1,000
  • India: ~1.8 / 1,000
• Hotel management conditions: qualitative (work-life hard; upside concentrated in top chains).
• Architecture starting pay: ~₹2,500/month (as stated).
• Nursing India pay: ~₹60k–₹70k/month after 5–10 years (as stated).
• WebVeda price: ₹2000/year

---

Concrete examples / case logic used

• IT outcomes example: “plain B.Tech CS/IT” vs “B.Tech + AI skills” shift ₹3.5–4.5 lakh → ₹6–12 lakh.
• Doctor economics: legal practice + shortage + aging workforce logic; first-generation doctors face high upfront financial/time investment.
• Compliance authority example: AI may perform CA work, but CA signature/stamping preserves the profession’s economic value.
• Nursing migration example: learning German/Japanese to move into higher-paying countries with elderly populations.
• Dentistry oversupply example: WHO benchmark vs India density and urban concentration leading to poor start earnings.
• Mass comm market structure example: new news channel is “technically easy” but practically near-suicidal due to incumbent dominance.

---

Presenters / sources (as mentioned)

• Ankur Viku (creator)
• Ankur Vari (appears as “I am Ankur Vari” / signing off)
• World Economic Forum — Future of Jobs Report 2025