Data Science

Major: Data Science
Degree Awarded: Master of Science in Data Science (MSDS)
Calendar Type: Quarter
Total Credit Hours: 45.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 11.0199
Standard Occupational Classification (SOC) code: 15-1111

About the Program

The aim of the Master of Science in Data Science program is to provide a strong foundation in the emerging area of data science, with foci on data management and accountability, visualization and communication, and computational, algorithmic and applied processing techniques. Students will gain competency in fundamental methods and techniques for data collection, management, analysis, and result interpretation. Their fundamental understanding will be applied to real data sets and data analysis tasks, with the help of state-of-the-art technologies, tools and platforms.

Admission Requirements

The Masters of Science in Data Science accepts applicants who hold a Bachelor degree from an accredited university. Please visit the College of Computing & Informatics' website for more information on admissions requirements. 

Additional Information

For more information, please visit the College of Computing & Informatics' (CCI) website and/or contact the following CCI faculty:

Degree Requirements

Required Core Courses
DSCI 511Data Acquisition and Pre-Processing3.0
DSCI 521Data Analysis and Interpretation3.0
DSCI 591Data Science Capstone I3.0
DSCI 592Data Science Capstone II3.0
Analytics, Mining, and Algorithms Electives9.0
Choose 3 of the following:
Introduction to Artificial Intelligence
Computer Science Foundations
Data Structures and Algorithms I
High Performance Computing
Programming Foundations
Advanced Programming Techniques
Introduction to Computer Vision
Machine Learning
Deep Learning
Data Analysis at Scale
Parallel Programming
Social Network Analytics
Information Retrieval Systems
Data Mining
Introduction to Data Analytics
Visualization and Communication Electives9.0
Choose 3 of the following:
Developing User Interfaces
Interactive Computer Graphics
Cognitive Systems
Human-Computer Interaction
Analysis of Interactive Systems
Design of Interactive Systems
Information Visualization
Healthcare Informatics
Information Ethics
Management and Accountability Electives9.0
Choose 3 of the following:
Fundamentals of Databases
Privacy
Responsible Data Analysis
Organization of Data and Information
Data and Digital Stewardship
Introduction to Database Management
Advanced Database Management
Applied Database Technologies
Information Assurance
Security Engineering
Additional Electives6.0
Choose 2 courses from the above elective areas not used to fulfill the conentration requirement
Total Credits45.0

Sample Plan of Study

Term 1Credits
DSCI 511Data Acquisition and Pre-Processing3.0
DSCI 521Data Analysis and Interpretation3.0
 Term Credits6.0
Term 2
Analytics, Mining and Algorithms Elective3.0
Management and Accountability Elective3.0
 Term Credits6.0
Term 3
Analytics, Mining and Algorithms Elective3.0
Visualization and Communication Elective3.0
 Term Credits6.0
Term 4
Analytics, Mining and Algorithms Elective3.0
Visualization and Communication Elective3.0
Management and Accountability Elective3.0
 Term Credits9.0
Term 5
DSCI 591Data Science Capstone I3.0
Visualization and Communication Elective3.0
Elective3.0
 Term Credits9.0
Term 6
DSCI 592Data Science Capstone II3.0
Management and Accountability Elective3.0
Elective3.0
 Term Credits9.0
Total Credit: 45.0
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