Apr 20, 2024

2022-2023 General Catalog

2022-2023 General Catalog ARCHIVED CATALOG: To search archives, MUST use search box to left. Current catalog: catalog.usu.edu.

Data Science - MS

College of Science

Department of Computer Science

Requirements for the Master of Science in Data Science are listed below. Students must complete 30 credit hours, 12 of which must be at the 6000 level or above (excluding CS 6900 , CS 6250 , CS 6970 , STAT 6250 and STAT 6970 ). All students will complete a Plan A MS which includes the completion of a thesis that will be reviewed by their committee. The overall GPA must be at least 3.0 for degree-program courses, and grades of C+ or lower will not be accepted.

Required Courses

Students are required to complete the 1-credit seminar course CS 6900 and 6 credits of either CS 6970 or STAT 6970 . Furthermore, students must take 9 credits from the following list of courses:

CS 5665 - Introduction to Data Science 3 credit(s)
CS 5800 - Introduction to Database Systems 3 credit(s)
CS 5830 - Data Science in Practice 3 credit(s) or
CS 6830 - Data Science in Practice 3 credit(s)
CS 5850 - Introduction to Data Analysis 3 credit(s) or
CS 6850 - Introduction to Data Analysis 3 credit(s)
CS 6665 - Data Mining 3 credit(s)
CS 6675 - Advanced Data Mining 3 credit(s)
CS 6685 - Deep Learning Theory and Applications 3 credit(s) or
STAT 6685 - Deep Learning Theory and Applications 3 credit(s)
MATH 5710 - Introduction to Probability 3 credit(s)
STAT 5050 - Introduction to R 1 credit(s)
STAT 5100 - Modern Regression Methods (CI/QI) 3 credit(s)
STAT 5650 - Statistical Learning and Data Mining I 2 credit(s)

Elective Courses

Students may complete the course credits for the degree by choosing courses from the required or elective list of courses. Only 3 credits of CS 6950 are allowed. CS 6890 and STAT 6810 are allowed only if the topic is in the field of Data Science. Only 3 credits of CS 6250 or STAT 6250 are allowed.

CS 6080 - Time Series Data Mining 3 credit(s)
CS 6250 - Cooperative Work Experience, Graduate 1-9 credit(s) or
STAT 6250 - Graduate Internship/Co-op 1-8 credit(s)
CS 6600 - Intelligent Systems 4 credit(s)
CS 6680 - Computer Vision: Foundations and Applications 3 credit(s)
CS 6800 - Advanced Database 3 credit(s)
CS 6820 - Data Science - Data Visualization 3 credit(s)
CS 6840 - Social Network Analysis 3 credit(s)
CS 6890 - Topics in Computer Science (Topic) 1-4 credit(s)
CS 6950 - Directed Readings in Computer Science 3 credit(s)
MATH 5720 - Introduction to Mathematical Statistics 3 credit(s)
STAT 5550 - Statistical Visualization I 2 credit(s)
STAT 6080 - Data Technologies 2 credit(s)
STAT 6100 - Advanced Regression Analysis 2 credit(s)
STAT 6410 - Applied Spatial Statistics 2 credit(s)
STAT 6550 - Statistical Computing 3 credit(s)
STAT 6710 - Mathematical Statistics I 3 credit(s)
STAT 6810 - Topics in Statistics (Topic) 1-3 credit(s)