Data Science (DSCI) - Minor

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$DSCI Program Image$

22 credits

2.0 GPA required.

Letter grade required in all minor courses unless otherwise noted.

Required Courses (16 credits)

Data Science (6 credits)

DSCI 210 - Data Science (3 credits)
DSCI 310 - Data Summary and Visualization (3 credits)

Statistics (6 credits)

First Course (3 credits)

Choose one:

◆ ECON 222 - Statistics for Business and Economics (3 credits)
◆ PSY 231 - Statistics (3 credits)
STAT 110 - Fundamentals of Statistics (3 credits)
STAT 210 - Statistics (3 credits)
STAT 303 - Introduction to Engineering Statistics (3 credits)
STAT 305 - Biometry (3 credits)

Second Course (3 credits)

△ STAT 310 - Intermediate Statistics (3 credits)

Computer Science (4 credits)

CS 234 - Algorithms and Problem-Solving I (4 credits)

Electives (6 credits)

CS 250 - Algorithms and Problem-Solving II (4 credits)
◆ CS 341 - Data Structures (4 credits)
CS 368 - Introduction to Bioinformatics (4 credits)
△ CS 385 - Applied Database Management Systems (4 credits)
◎ CS 447 - Machine Learning (3 credits)
DSCI 325 or higher
MATH 222 - Data-Driven Mathematical Modeling (3 credits)
STAT 335 - Principles of Study Design (3 credits)
△ STAT 360 - Regression Analysis (3 credits)
STAT 370 - Statistical Consulting and Communication (3 credits)

Course(s) Unique to Minor

WSU policy requires a minor contain at least one course unique to the minor and not used in major or additional requirements. See Degree Audit for details.

Legend

◎ = Oral Intensive

◆ = Math/Critical Analysis Intensive

△ = Writing Intensive

✽ = Physical Development and Wellness Graduation Requirement