Capability · Internships
Data Mining internships for B.Tech students in Delhi
Data Mining 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 (AI & DS), with project work running through the AICTE IDEA Lab.
At a glance
- Topic
- Data Mining
- VSET programme
- B.Tech CSE (AI & DS)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
What students actually build
- Data and analytics capstones frequently involve discovering structure in a dataset rather than predicting a known target.
How VSET teaches Data Mining
Data mining is the search for useful patterns in large datasets — clusters, associations, anomalies and rules — usually as a step towards prediction or decision-making. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & DS).
- Mining techniques belong to the analytics side of the AI & DS track at VSET.
- They rest on applied statistics content from the same track and on database fundamentals from the CSE core.
- The algorithmic underpinnings are covered more formally in CSE (Applied Mathematics).
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 Data Mining skills lead
Graduates applying Data Mining skills typically target roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Research Associate. 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 Data Mining 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 Data Mining 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.
Where is data mining taught?
Within the analytics content of the B.Tech CSE (AI & DS) programme.
How is it different from machine learning?
Mining emphasises discovering patterns in existing data. The AI & ML track at VSET focuses more on training models, LLMs and agents.
What prerequisites are involved?
Applied statistics from the AI & DS track and database fundamentals from the CSE core.
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