Curiosity · After 12th
How to learn Time Series Forecasting after 12th in Delhi
Time series forecasting predicts future values of a sequence from its history and related signals, using statistical models or neural architectures. It is central to demand planning, monitoring and financial analytics. 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 Time Series Forecasting coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Time Series Forecasting
- VSET programme
- B.Tech CSE (AI & DS)
- 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 Time Series Forecasting depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & DS) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Time Series Forecasting
Time series forecasting predicts future values of a sequence from its history and related signals, using statistical models or neural architectures. It is central to demand planning, monitoring and financial analytics. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & DS).
- The AI & Data Science track at VSET is the closest fit, being one of the seven GGSIPU-affiliated B.Tech programmes.
- Deep learning and transformer material in the published curriculum at learn.engineering.vips.edu covers architectures now applied to sequences.
- The CSE (Applied Mathematics) track provides the statistical grounding forecasting depends on.
- Forecasting is not published as a separate library topic, so coverage is best described as elective.
Where Time Series Forecasting skills lead
Graduates applying Time Series Forecasting skills typically target roles such as Data Scientist, Machine Learning Engineer, Quantitative Analyst, Analytics Engineer, Operations Research Analyst. 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 Time Series Forecasting after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Time Series Forecasting-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Which VSET programme covers forecasting?
B.Tech CSE (AI & Data Science) is the closest fit; the CSE (Applied Mathematics) track supplies deeper statistical grounding.
Is forecasting a named topic in the AI curriculum?
No — the published library focuses on the LLM, agent, CV and NLP stack. Forecasting is best pursued as an elective or project direction.
Where would the data come from for a project?
The AICTE IDEA Lab's embedded hardware supports sensor-based data collection, which pairs well with the Industrial IoT programme.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & DS) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31