Master of Science in Data Science at °ÄÃÅ¿ª½±½á¹û2023¿ª½±¼Ç¼

Students will develop knowledge and skills in interdisciplinary data science competencies including:

  • Statistical analysis
  • Data structures and algorithms
  • Data mining
  • Machine learning
  • Big data architecture
  • Data visualization

Learn the skillsÌýnecessary to fuel creative problem-solving andÌýcommunicate effectively across diverse organizations.

  • You may take up toÌýtwelveÌýcredit hoursÌýof ourÌý30-credit MSÌýin Data Science, whileÌýyou pursue your bachelor's degree in Computer Science.
  • Six credit hoursÌýcan be simultaneously applied toward your bachelor'sÌýand graduate degree requirements. For your simultaneously applied credits, you can choose from these courses:
    • Any 5000-level courses open to MS in CS students can be simultaneously applied towards the six credit hours:
      • STAT 5000: Statistical Methods and Applications 1 (3)
      • STAT 5010: Statistical Methods and Applications 2 (3)
      • CSCI 5502: Data Mining (3)
      • CSCI 5622: Machine Learning (3)