Ï㽶ÊÓƵ's Master of Science in Data Analytics program offers an interdisciplinary curriculum designed with guidance from industry leader Booz Allen Hamilton. It equips students with advanced skills in data analysis, statistical modeling, and data-driven decision-making. Our program emphasizes practical applications and hands-on experience, allowing students to work with real-world datasets and state-of-the-art analytical tools. Graduates will be well-prepared for careers in various industries, including finance, healthcare, technology, and government. Join us to enhance your analytical capabilities and become a leader in the rapidly growing field of data analytics.
Master's
Data Analytics (MS)
Degrees
The M.S. in Data Analytics program is a 30-credit-hour degree program.
The curriculum for Ï㽶ÊÓƵ's Master of Science in Data Analytics requires core courses, elective courses, and a capstone practicum.
Core Courses (12 credits):
- DA 501: Introduction to Data Science and Python
- DA 514: Applied Statistics and Data Analysis
- DA 515: Introduction to Machine Learning
- DA 591: Data Science and Analytics Practicum
The capstone practicum involves tackling real-world data challenges in partnership with industry, government, and civic organizations, culminating in a professional project presentation.
Elective Courses (18 credits): Students select from a variety of electives, which may include:
- DA 503: Data Visualization with Tableau
- DA 505: Decision Analysis
- DA 509: Web Design & Programming
- DA 516: Applications of Data Analytics and Development
- DA 523: Business Data Analytics
- DA 527: Fundamentals of Neural Networks
- DA 529: Introduction to Computer Vision
- DA 542: Introduction to Database Management
- DA 545: Introduction to Data Mining
$1,350 / credit hour
More information about this degree is available on the or by request from our Admissions team.