This analysis explores the Cost of International Education Dataset, which compiles detailed financial information from universities around the world.
A global data analysis exploring the true cost of studying abroad — from tuition to rent, living costs, visa, and insurance. The project highlights affordability trends and financial insights across 900+ international universities.
- 📊 Tools Used: Excel (Dashboards, Charts, Pivot Tables)
- 📁 Dataset: Kaggle — Cost of International Education Dataset
- 📅 Year: 2023 | 🔢 Rows: 908 | Columns: 12
To analyze global education costs and identify affordability drivers that influence students’ study-abroad decisions.
- Removed duplicates, blanks, and inconsistent entries.
- Created calculated fields:
- Monthly_Estimated_Living_Cost = $1,850 × (Living Index / 123.3)
- Annual_Living_Cost = Monthly × 12
- Exchange_Rate_Category = Strong / Medium / Weak
- Standardized all costs to USD and rounded for clarity.
- One-Year Master’s (UK, NL, Ireland)
- Fast-track programs, higher tuition.
- Highest living costs in Netherlands (73.2 index).
- Fields: Data Science, AI, Cybersecurity.
- 1.5-Year Master’s (Singapore)
- National University of Singapore leads.
- Avg total cost: $52,392.
- Visa fee: $90 — lowest among top destinations.
- Two-Year Master’s (US, Switzerland)
- High-cost regions (MIT, Columbia).
- Avg. cost: $84,165 (Economics) / $51,892 (Data Science).
- Switzerland tops living index: 100.12.
- 2.5-Year Master’s (China)
- Affordable education: $17,844–$19,657 avg.
- Fields: AI, Software Engineering, Computer Engineering.
- Three-Year Bachelor’s (Australia)
- Avg. cost: $40,968–$50,808.
- Major hubs: Melbourne, London, Geneva.
- Four- & Five-Year PhD Programs (USA, Argentina)
- Fields: Electrical Eng. ($72,640), Physics ($71,138).
- Argentina offers competitive affordability (Living Index 42.6).
For Students
- Evaluate total cost-to-duration ratio, not just tuition.
- Consider emerging hubs (Singapore, China) for affordability.
For Consultants
- Provide city-level cost breakdowns for realistic planning.
- Emphasize ROI over prestige when guiding students.
For Scholarship Boards
- Target high-cost, high-impact fields (AI, Data Science, Eng.).
- Support students in underrepresented, emerging economies.
Limitations
- Data from 2021–2023 — may not reflect latest 2025 rates.
- Excludes non-financial barriers (visa denial, living culture).
- Assumes static exchange rates.
- Limited demographic info (age, degree level).
- Dataset lacks income and funding source variables.
📖 Read the full Medium version here → The Real Price of Knowledge: A Global Data Analysis on the True Cost of Studying Abroad
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