Business and organizations have access to an unprecedented amount of data, and need skilled, detail-oriented analysts to translate it into information for making strategic business decisions. Earning a Master of Science in Data Analytics from Webster University will give you the skills to meet these business challenges in a wide range of data science careers.
Our MS in Data Analytics program will help you develop skills by integrating key business concepts with the latest methods and technologies to not only solve problems efficiently, but also identify opportunities for growth.
You will take rigorous business and data science degree courses taught by faculty mentors who are dedicated to preparing you for the top-paying data science jobs in the country.
Introductory Courses
BUSN 5200 Basic Finance for Managers (3 hours)
BUSN 5760 Applied Business Statistics (3 hours)
CSDA 5110 Analytics Programming with R (3 hours)
CSDA 5130 Social and Ethical Issues in Analytics (3 hours)
CSDA 5210 Databases and Data Warehouses (3 hours)
Reinforcement Courses
CSDA 5230 Data Analytics (3 hours) or CSDA 5240 Database Programming (3 hours)
CSDA 5310 Data Visualization (3 hours)
CSDA 5320 Analytics Applications using Python (3 hours)
CSDA 5330 Machine Learning for Predictive Analytics (3 hours)
Proficiency Courses
CSDA 5410 Time Series Analytics (3 hours)
CSDA 5430 Predictive Analytics (3 hours)
Subject-Specific Course
CSDA 6010 Analytics Practicum (3 hours)
Admission Requirements | |
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Academic Entry Requirements | For Undergraduate Students:
For Graduate Students:
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Language Requirement | |
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IELTS Score (Minimum) | 6.0 |
TOEFL-IBT Score (Minimum) | 80 |
Data Scientist, Architect or Engineer
Operations or Transportation Analyst
Statistician
Project Manager
IT Systems Analyst
Business Intelligence or Systems Analyst
Qualitative Analyst
Data Consultant or Analyst
Market Research or Financial Analyst