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Data Science & Analytics

Technology
English2 Years

About This Program

Master the tools and techniques of data analysis, statistical modeling, and machine learning. This graduate program prepares professionals to turn data into actionable insights.

Curriculum

  • Statistical Methods & Probability
  • Machine Learning & Deep Learning
  • Big Data Technologies
  • Data Visualization & Communication
  • Natural Language Processing

Admission Requirements

  • Bachelor's degree in a quantitative field
  • Minimum GPA of 3.0 in undergraduate studies
  • Proficiency in Python or R programming
  • GRE scores (recommended but not required)
  • Two academic references