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IIT Student Admissions Data
Education & Learning Analytics
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About
Welcome to the IIT Admissions Dataset. This dataset offers valuable information about 200,000 students who have applied for admissions to Indian Institutes of Technology (IITs). It includes essential details such as their field of study, chosen specialisation, fees incurred, and any discounts offered. This dataset provides significant insights into the diverse academic backgrounds, preferences, and financial considerations of applicants, enabling in-depth analysis of IIT admissions trends.
Columns
- Student ID: A unique identification number assigned to each student. Values range from approximately 100,000 to 1,000,000.
- Student Name: The name of the student. There are approximately 120,038 unique names, with 'Michael Smith' being the most common.
- Date of Birth: The student's birth date, ranging from 31st May 1997 to 29th May 2006.
- Field of Study: The academic discipline or department in which the student is enrolled. Common fields include Electrical Engineering and Chemical Engineering, each representing 20% of the dataset, with other fields making up the remaining 60%. There are 5 unique fields of study.
- Year of Admission: The year in which the student was admitted to the IIT, ranging from 2016 to 2022.
- Expected Year of Graduation: The anticipated year of the student's graduation, with dates ranging from 2017 to 2023.
- Current Semester: The current semester or academic term the student is enrolled in, ranging from 1 to 4.
- Specialization: The specific area of focus or specialisation chosen by the student within their field of study. Web Development and Machine Learning are common, each representing 20% of the dataset, with other specialisations making up 60%. There are 5 unique specialisations.
- Fees: The tuition fees or cost associated with the student's education. Fees range from 50,000 to 200,000, with a mean of 125,000.
- Discount on Fees: The discount amount or reduction applied to the student's tuition fees. Discounts range from 0 to approximately 39,865, with a mean of 12,500.
Distribution
This dataset comprises 200,000 student records. It is distributed as a data file, typically in CSV format, and is specifically available as
student_data.csv with a file size of 19.04 MB. It includes all 10 described columns with no missing or mismatched values.Usage
This dataset is ideally suited for analysing trends in IIT admissions. It can be effectively utilised for:
- Gaining a deeper understanding of the IIT admissions process.
- Informing policy decisions related to higher education.
- Conducting academic research into student demographics and financial aid.
- Developing strategies for educational institutions.
Coverage
The dataset covers student admissions to Indian Institutes of Technology (IITs). The time range for admissions spans from 2016 to 2022, with expected graduation years from 2017 to 2023. Student birth dates range from May 1997 to May 2006. It includes data for 200,000 students, offering a wide demographic scope of applicants.
License
CC0: Public Domain
Who Can Use It
- Researchers: To conduct in-depth analysis of admission trends, academic backgrounds, and financial aspects of IIT applicants.
- Educational Institutions: To benchmark their admissions processes, understand student preferences, and refine their offerings.
- Policymakers: To inform decisions related to higher education policies, scholarships, and fee structures.
Dataset Name Suggestions
- IIT Student Admissions Data
- Indian Institute of Technology Applicant Metrics
- Higher Education India: Student Data & Trends
- University Admissions Fees & Specialisations in India
- Student Enrolment Statistics: IITs
Attributes
Original Data Source: IIT Student Admissions Data
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