Capability · Internships

Probability and Statistics internships for B.Tech students in Delhi

Probability and Statistics internships go to students who can show working code, not just a transcript. For B.Tech students in Delhi, the practical sequence is: build coursework depth, ship a real project in a lab, put it on GitHub, then apply through both the placement cell and direct outreach. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, the coursework side is documented coursework depth inside B.Tech CSE (Applied Mathematics), with project work running through the AICTE IDEA Lab.

At a glance

Topic
Probability and Statistics
VSET programme
B.Tech CSE (Applied Mathematics)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

What students actually build

  • Data science capstone projects rest on estimation, testing and regression from this coursework.
  • Smart India Hackathon data problems require students to reason about sampling and uncertainty.

How VSET teaches Probability and Statistics

Probability and statistics covers random variables, distributions, expectation, estimation, hypothesis testing and regression, which is how uncertainty is quantified in data and models. It is core engineering mathematics coursework at VSET, extended in the Applied Mathematics and data specialisations. At VSET this maps to documented coursework depth inside B.Tech CSE (Applied Mathematics).

  • Probability and statistics is part of the core engineering mathematics coursework in VSET's B.Tech programmes.
  • VSET offers B.Tech CSE with an Applied Mathematics specialisation, which extends the statistical treatment.
  • The CSE AI and Data Science specialisation applies this material to analytics and modelling.
  • Machine learning coursework in the AI and ML specialisation assumes this probability foundation.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where Probability and Statistics skills lead

Graduates applying Probability and Statistics skills typically target roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Quantitative Analyst, Research Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

Frequently asked questions

When should I start applying for Probability and Statistics internships?

Most students target the summer after second or third year. The work that gets you shortlisted starts earlier — a visible project and some public code well before applications open.

What do Probability and Statistics internship recruiters actually look at?

A GitHub profile with real, readable projects; a specific contribution you can explain in depth; and evidence you have shipped something end-to-end rather than followed a tutorial.

Is statistics part of the VSET curriculum?

Yes. Probability and statistics is core engineering mathematics coursework, extended in the Applied Mathematics and AI and Data Science specialisations.

Do I need statistics for machine learning?

Yes. Probability underpins model assumptions, evaluation and uncertainty, which the AI and ML coursework builds on.

Which branch is most statistics-heavy?

B.Tech CSE (Applied Mathematics) for theory, and B.Tech CSE (AI and Data Science) for applied analytics.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (Applied Mathematics) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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