Curiosity · After 12th

How to learn AI in Banking after 12th in Delhi

AI in banking covers credit scoring, KYC document processing, transaction monitoring, customer assistants and churn modelling. Regulatory scrutiny and auditability constrain the modelling choices far more than in most domains. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Banking coverage is genuine rather than a brochure keyword.

At a glance

Topic
AI in Banking
VSET programme
B.Tech CSE (AI & Data Science)
Coverage at VSET
Adjacent foundations only
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

The degree route

No Delhi college offers a dedicated degree in AI in Banking. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & Data Science), which builds engineering foundations that transfer toward AI in Banking, though VSET does not run a dedicated AI in Banking programme — combined with self-driven projects and online specialisation.

How VSET teaches AI in Banking

AI in banking covers credit scoring, KYC document processing, transaction monitoring, customer assistants and churn modelling. Regulatory scrutiny and auditability constrain the modelling choices far more than in most domains. At VSET this maps to engineering foundations that transfer toward AI in Banking, though VSET does not run a dedicated AI in Banking programme.

  • VSET does not teach banking or financial regulation — these are outside all seven of its B.Tech programmes, so this is honestly an adjacent domain.
  • The techniques are taught: classification, forecasting and the data pipeline side in the B.Tech CSE (AI & Data Science) track, plus RAG and NLP at learn.engineering.vips.edu.
  • The B.Tech CSE (Cyber Security) track covers the security and monitoring side that banking systems also require.
  • AI & DS is one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where AI in Banking skills lead

Graduates applying AI in Banking skills typically target roles such as Data Scientist, Machine Learning Engineer, Risk Modelling Analyst, AI Engineer, Analytics Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.

Frequently asked questions

Can I learn AI in Banking after 12th without coding background?

Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Banking-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.

Is banking taught at VSET?

No. Banking and financial regulation are not taught in any of VSET's seven B.Tech programmes.

What prepares a student for banking AI roles?

The AI & Data Science track's classification, forecasting and data engineering content, plus the published RAG and NLP material for document-heavy work.

Is there any security-side coverage?

Yes — B.Tech CSE (Cyber Security) is a separate VSET track covering the monitoring and security concerns banking systems carry.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & Data Science) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31