Curiosity · After 12th
How to learn AI in Marketing after 12th in Delhi
AI in marketing covers audience segmentation, attribution modelling, creative generation, churn prediction and campaign optimisation. Underneath the vocabulary it is segmentation, forecasting and generative text work applied to commercial funnels. 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 Marketing coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Marketing
- 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 Marketing. 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 Marketing, though VSET does not run a dedicated AI in Marketing programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Marketing
AI in marketing covers audience segmentation, attribution modelling, creative generation, churn prediction and campaign optimisation. Underneath the vocabulary it is segmentation, forecasting and generative text work applied to commercial funnels. At VSET this maps to engineering foundations that transfer toward AI in Marketing, though VSET does not run a dedicated AI in Marketing programme.
- VSET does not teach marketing as a domain — brand, media buying and campaign strategy are not part of any of its seven B.Tech programmes.
- The techniques are taught: clustering, forecasting and applied ML in the B.Tech CSE (AI & Data Science) track, and generative and NLP material in the AI curriculum at learn.engineering.vips.edu.
- This is honestly an adjacent area — a marketing application would be self-directed project work on top of that technique base.
- AI & DS is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Marketing skills lead
Graduates applying AI in Marketing skills typically target roles such as Data Scientist, Analytics Engineer, Machine Learning Engineer, Marketing Data Analyst, Applied AI Developer. 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 Marketing 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 Marketing-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach marketing analytics?
No. Marketing is not a taught domain at VSET. The AI & Data Science track teaches the segmentation, forecasting and generative techniques such work uses.
What would a marketing-AI project look like here?
A self-directed capstone built on the applied ML or generative AI patterns, with the domain framing supplied by the student.
Is a business degree needed for these roles?
Not for the engineering side. The data science and ML foundation is what the analyst and engineer roles hire on; domain fluency is usually built on the job.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & Data Science) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31