Accelerated Data Science Curriculum & Specializations
The Master of Science in Data Science program requires the successful completion of 12 courses to obtain a degree. These requirements cover six core courses, a data governance course, two required courses corresponding to a declared specialization, two electives, and a capstone project. Students are registered for three courses per term and will complete the degree within four terms.
As part of the application process, students will choose one of five specializations: Analytics and Modeling, Artificial Intelligence, Data Engineering, Analytics Management, or Technology Entrepreneurship. Anticipated core courses and courses within each specialization are listed below.
Please see the academic catalog for additional information regarding the curriculum. Current students should refer to curriculum requirements in place at time of entry into the program.
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Curriculum for each Specialization
See below for the recommended course plan by quarter for each specialization. Each specialization has two required courses that are in bold. The recommended electives are in italics. Course descriptions are also listed below. Course codes that end in "-0" (e.g. 401-0) are on-campus courses. Course codes ending in "-DL" indicate online courses.
Please note that course offerings subject to change based on instructor availability.
Analytics and Modeling
Fall
- MSDS 480-0 Business Leadership and Communications
- MSDS 401-0 Applied Statistics with R
- MSDS 400-DL Math for Modelers
Winter
- MSDS 420-0 Database Systems and Data Preparation
- MSDS 422-0 Practical Machine Learning
- MSDS 410-DL Supervised Learning Methods
Spring
- MSDS 476-0 Business Process Analytics
- MSDS 485-0 Data Governance, Ethics, and Law
- MSDS 411-DL Unsupervised Learning Methods
Summer
- MSDS 460-0 Decision Analytics
- MSDS 498-0 Capstone
- MSDS 413-DL Time Series Analysis and Forecasting or MSDS 451-DL Financial Machine Learning
Analytics Management
Fall
- MSDS 480-0 Business Leadership and Communications
- MSDS 401-0 Applied Statistics with R
- MSDS 400-DL Math for Modelers
Winter
- MSDS 420-0 Database Systems and Data Preparation
- MSDS 422-0 Practical Machine Learning
- MSDS 474-DL Accounting and Finance for Technology Managers
Spring
- MSDS 476-0 Business Process Analytics
- MSDS 485-0 Data Governance, Ethics, and Law
- MSDS 472-DL Management Consulting or MSDS 470-DL Technology Entrepreneurship
Summer
- MSDS 460-0 Decision Analytics
- MSDS 498-0 Capstone
- MSDS 470-DL Technology Entrepreneurship or MSDS 472-DL Management Consulting
Artificial Intelligence
Fall
- MSDS 480-0 Business Leadership and Communications
- MSDS 401-0 Applied Statistics with R
- MSDS 400-DL Math for Modelers
Winter
- MSDS 420-0 Database Systems and Data Preparation
- MSDS 422-0 Practical Machine Learning
- MSDS 410-DL Supervised Learning Methods
Spring
- MSDS 476-0 Business Process Analytics
- MSDS 485-0 Data Governance, Ethics, and Law
- MSDS 453-DL Natural Language Processing
Summer
- MSDS 460-0 Decision Analytics
- MSDS 498-0 Capstone
- MSDS 458-DL Artificial Intelligence and Deep Learning
Data Engineering
Fall
- MSDS 480-0 Business Leadership and Communications.
- MSDS 401-0 Applied Statistics with R
- MSDS 400-DL Math for Modelers
Winter
- MSDS 420-0 Database Systems and Data Preparation
- MSDS 422-0 Practical Machine Learning
- MSDS 431-DL Data Engineering with Go
Spring
- MSDS 476-0 Business Process Analytics
- MSDS 485-0 Data Governance, Ethics, and Law
- MSDS 432-DL Foundations of Data Engineering
Summer
- MSDS 460-0 Decision Analytics
- MSDS 498-0 Capstone
- MSDS 434-DL Analytics Application Engineering
Technology Entrepreneurship
Fall
- MSDS 480-0 Business Leadership and Communications
- MSDS 401-0 Applied Statistics with R
- MSDS 400-DL Math for Modelers
Winter
- MSDS 420-0 Database Systems and Data Preparation
- MSDS 422-0 Practical Machine Learning
- MSDS 470-DL Technology Entrepreneurship
Spring
- MSDS 476-0 Business Process Analytics
- MSDS 485-0 Data Governance, Ethics, and Law
- MSDS 474-DL Accounting and Finance for Technology Managers
Summer
- MSDS 460-0 Decision Analytics
- MSDS 485-0 Data Governance, Ethics, and Law
- MSDS 472-DL Management Consulting or MSDS 403-DL Data Science and Digital Transformation