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.
- You may take up to 12 credit hours ofÌýgraduate-level DTSC/CSCI coursesÌýduring your undergraduate studies.
- 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)
- Any 5000-level courses open to MS in CS students can be simultaneously applied towards the six credit hours: