Data Science (DSCI) - BS Major

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59-60 S.H.

The discipline of data science focuses on transforming data into knowledge. This degree requires a student to acquire knowledge and expertise in data science through an understanding of analytical and computational techniques, an interdisciplinary emphasis, and a capstone experience.

Required Courses (53-54 S.H.)

Interdisciplinary Emphasis (12 S.H.)

A minimum of 12 S.H. numbered 300 or above with the same prefix, e.g. BIOL, ECON, FIN, etc., chosen in consultation with your academic advisor. Courses with the DSCI, STAT, and CS prefix cannot be used to fulfill this requirement.

Capstone Experience (6 S.H.)

DSCI 395 - Professional Skill Development for Data Sciences (2 S.H.)
DSCI 495 - Communication of Capstone Outcomes (1 S.H.)

Project/Internship - Choose one (3 S.H.):

A project or internship proposal must be developed in consultation with your academic advisor.

DSCI 488 - Data Science Project (1-6 S.H.)
DSCI 492 - Internship in Data Science (1-6 S.H.)

Electives (6 S.H.)

Choose 6 S.H.:

◆ CS 341 - Data Structures (4 S.H.)
CS 368 - Introduction to Bioinformatics (4 S.H.)
◎ DSCI 425 - Supervised Learning (3 S.H.)
STAT 350 - Design of Samples and Surveys (3 S.H.)
◎ STAT 370 - Statistical Consulting and Communication (3 S.H.)

Note:

◎ = Oral Intensive

◆ = Math/Critical Analysis Intensive

△ = Writing Intensive

✽ = Physical Development and Wellness Graduation Requirement