This program integrates quantitative and computational skills with business acumen to prepare students for leadership roles transforming complex data into actionable insights.
Students learn to apply probability, statistics, and machine learning while mastering R and Python for data manipulation, cleansing, and visualization.
β’ Degree Required: Bachelor’s degree
β’ GRE/GMAT: Optional or Not Required
β’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
β’ Statement of Purpose: Required
β’ Letters of Recommendation: 2β3
β’ Resume: Required
β’ Transcripts: Official transcripts required
Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.
Thrive as Data Scientist in Cross-Industry AI with predictive modeling expertise