Curiosity · After 12th
How to learn AI in Journalism after 12th in Delhi
This is AI engineering applied to newsroom tooling, taught inside a B.Tech. VSET is the engineering school of VIPS-TC and offers B.Tech programmes only — it is not a route to a journalism or mass-communication qualification. AI in journalism covers automated summarisation, archive search, transcription, fact-check assistance and structured reporting from data feeds. Every one of those is a language or retrieval task with an editorial verification layer on top. 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 Journalism coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Journalism
- VSET programme
- B.Tech CSE (AI & ML)
- 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 Journalism. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & ML), which builds engineering foundations that transfer toward AI in Journalism, though VSET does not run a dedicated AI in Journalism programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Journalism
AI in journalism covers automated summarisation, archive search, transcription, fact-check assistance and structured reporting from data feeds. Every one of those is a language or retrieval task with an editorial verification layer on top. At VSET this maps to engineering foundations that transfer toward AI in Journalism, though VSET does not run a dedicated AI in Journalism programme.
- VSET does not teach journalism or media practice — editorial method, media law and reporting are not part of any of its seven B.Tech programmes.
- The techniques are taught: NLP, summarisation-capable language models, RAG and vector databases are all documented at learn.engineering.vips.edu.
- AI safety material covers the hallucination and verification problem that makes this domain difficult, but it does so in general terms rather than editorially.
- The AI & ML track is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Journalism skills lead
Graduates applying AI in Journalism skills typically target roles such as NLP Engineer, AI Engineer, LLM Application Developer, Search / Retrieval Engineer, 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 Journalism 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 Journalism-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach AI for journalism?
No. Journalism is not a taught domain here. VSET teaches the NLP, summarisation and retrieval engineering that newsroom tools are built from.
What is the closest documented project?
RAG systems over VIPS-TC corpora and applied NLP tools — both are structurally what an archive search or summarisation tool requires.
Does the curriculum cover hallucination risk?
Yes, in general terms — RAG is taught explicitly as a grounding technique, and AI safety is a published curriculum topic.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31