Data Science (DSCI) - BS Major

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57-58 S.H. (no minor required)

2.0 GPA required.

Letter grade required in all major courses unless otherwise noted.

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 (51-52 S.H.)

Interdisciplinary Emphasis (12 S.H.)

A minimum of 12 S.H. at 300-level or above with same prefix (ex: BIOL, ECON, FIN) chosen in consultation with academic advisor. DSCI, STAT, and CS courses cannot be used.

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:

A project or internship proposal must be developed in consultation with 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.)

◆ CS 341 - Data Structures (4 S.H.)
CS 368 - Introduction to Bioinformatics (4 S.H.)
DSCI 330 - Management of Unstructured Data (3 S.H.)
DSCI 415 - Unsupervised Learning (3 S.H.)
◎ DSCI 425 - Supervised Learning (3 S.H.)
DSCI 430 - Data Science at Scale (3 S.H.)
STAT 335 - Principles of Study Design (3 S.H.)
◎ STAT 370 - Statistical Consulting and Communication (3 S.H.)

Legend

◎ = Oral Intensive

◆ = Math/Critical Analysis Intensive

△ = Writing Intensive

✽ = Physical Development and Wellness Graduation Requirement

✪ = Civic Engagement and Service Learning