Curiosity · After 12th
How to learn Synthetic Data after 12th in Delhi
Synthetic data is artificially generated training data — from simulation, augmentation or generative models — used where real data is scarce, private or imbalanced. Its central risk is that models learn artefacts of the generator rather than the world. 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 Synthetic Data coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Synthetic Data
- VSET programme
- B.Tech CSE (AI & Data Science)
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Synthetic Data depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & Data Science) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Synthetic Data
Synthetic data is artificially generated training data — from simulation, augmentation or generative models — used where real data is scarce, private or imbalanced. Its central risk is that models learn artefacts of the generator rather than the world. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & Data Science).
- Synthetic data is not a separately named library in VSET's published curriculum, so it is honestly an applied extension of the taught material.
- The generative techniques it depends on are taught: generative AI, transformers and fine-tuning are documented at learn.engineering.vips.edu.
- The data-quality and pipeline emphasis of the B.Tech CSE (AI & Data Science) track is where the evaluation discipline comes from.
- AI & DS is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where Synthetic Data skills lead
Graduates applying Synthetic Data skills typically target roles such as Machine Learning Engineer, Data Engineer, Applied Scientist, Data Scientist, AI 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 Synthetic Data after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Synthetic Data-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is synthetic data a named topic at VSET?
No. It is an applied extension of the taught generative AI, transformer and fine-tuning material rather than a standalone published library.
Where would a student use it?
Inside a computer vision or applied ML capstone where labelled data is scarce — augmentation and generation as a means, not the project itself.
Is the risk of generator artefacts covered?
Evaluation discipline comes from the AI & Data Science track's data-quality emphasis and the AI safety material in the published curriculum.
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