Curiosity · Syllabus

Data Analytics in a B.Tech — syllabus & what you learn

Data analytics is the systematic examination of datasets to answer questions and support decisions. It covers descriptive summaries, diagnostic drill-downs and the reporting layer that turns numbers into recommendations. Inside a four-year B.Tech, Data Analytics arrives in layers: programming and mathematics foundations in years one and two, core methods next, and applied depth concentrated in years three and four plus the capstone. Using Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura's B.Tech CSE (AI & DS) as the concrete example, here is what the coursework actually covers.

At a glance

Topic
Data Analytics
VSET programme
B.Tech CSE (AI & DS)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

How VSET teaches Data Analytics

Data analytics is the systematic examination of datasets to answer questions and support decisions. It covers descriptive summaries, diagnostic drill-downs and the reporting layer that turns numbers into recommendations. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & DS).

  • Analytics sits inside the AI & DS track at VSET, which is oriented towards data pipelines, ETL and analytics work.
  • Applied statistics coverage in the AI & DS track gives students the inferential grounding analytics work depends on.
  • Students who want the heavier mathematical treatment of the same material can take the CSE (Applied Mathematics) programme instead.
  • All seven VSET B.Tech programmes are GGSIPU-affiliated, so the analytics coursework follows the GGSIPU scheme.

Labs and infrastructure

  • GPU workstations in the AICTE IDEA Lab let students work on datasets larger than a laptop handles comfortably.

What students actually build

  • Data and analytics projects are one of the recurring capstone patterns at VSET.
  • Analytics-flavoured problem statements are common entries in the Smart India Hackathon.

Frequently asked questions

When does Data Analytics content actually start in a B.Tech?

Meaningful Data Analytics content typically ramps up from the second or third year, after programming and mathematics foundations. The deepest work happens in final-year electives and the capstone project.

Which VSET programme covers data analytics?

The B.Tech in CSE (Artificial Intelligence & Data Science), which is oriented towards data pipelines, ETL and analytics.

Do I need a strong maths background for analytics?

Applied statistics is central to analytics work. VSET's CSE (Applied Mathematics) programme covers those foundations in more depth if you want that emphasis.

Is analytics taught practically at VSET?

Yes. Data and analytics projects are a recurring capstone pattern, supported by GPU workstations in the AICTE IDEA Lab.

Sources

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

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