IIT Admissions Dataset
Tabular dataset detailing applications for admission to IITs in India, covering academic, financial, and personal aspects.
Approximately 200,000 CSV tabular records with academic, financial, and demographic fields
CC0: Public Domain
Description
The IIT Admissions Dataset gathers data on 200,000 students who applied to the Indian Institutes of Technology. It contains information about the field of study, the specialization chosen, the tuition fees, and the discounts granted. This data makes it possible to analyze the trends and profiles of candidates on several dimensions.
What is this dataset for?
- Studying admissions trends and academic preferences
- Analyzing financial factors that influence admissions
- Model and predict the chances of admission according to profiles
Can it be enriched or improved?
Data on student outcomes, post-admission performance, or more detailed socio-economic information can be added to refine analyses.
🔎 In summary
🧠 Recommended for
- Educational researchers
- Data scientists
- Academic decision makers
🔧 Compatible tools
- Pandas
- Scikit-learn
- TensorFlow
- R
💡 Tip
Combine with external performance data for longitudinal analyses.
Frequently Asked Questions
What academic information is present in this dataset?
The dataset includes field of study, specialization, and fees and discounts applied.
Can this data be used to predict the admission of candidates?
Yes, the data is adapted to train predictive models based on candidate profiles.
Does this dataset contain sensitive personal data?
No, the data is aggregated and anonymized to respect the confidentiality of candidates.
