Data Science
Program Overview
College of Arts and Sciences, Interdisciplinary Program
Director: Berg (CISC)
Advisory Committee: Curran (CISC), Dragovic (MATH), Dwyer (CISC), McNamara (CISC), Shemyakin (MATH), Werness (CISC)
Overview of the Data Science degree
Learn about the College of Arts and Sciences Experience
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and actionable insights from noisy, structured, or unstructured data. Data scientists use techniques and theories drawn from many fields within the context of mathematics, statistics, and computer science.
Major in Data Science (B.S.)
56 credits
Data Science is a foundation for many different data-focused careers, including Data Scientist, Machine Learning Engineer, Data Engineer, Statistician, Data Analyst, and Infrastructure Architect.
Required Courses:
- DASC 120* (or DASC 112*) Introduction to Computational Statistics (4 credits)
- DASC 130* Introduction to Data Science (4 credits)
- DASC 240* Applied Regression Analysis (4 credits)
- DASC 336* Data Communication and Visualization (4 credits)
- DASC 360* Multivariate Statistics and Data Analysis (4 credits)
- DASC 400* Data Mining and Machine Learning (4 credits)
- DASC 460* Statistics and Data Science Practicum (4 credits)
* Note: A grade of C- or above must be earned by majors in these required courses
Plus 8 credits from the following:
- DASC 210 Biostatistics (4 credits)
- DASC 380 Spatial Statistics (4 credits)
- DASC 420 Network Science and Graph Theory (4 credits)
- DASC 296 (or STAT 296) Topics (2 credits)
- DASC 298 (or STAT 298) Topics (4 credits)
- DASC 488 (or STAT 488) Topics (2 credits)
- DASC 490 (or STAT 490) Topics (4 credits)
- STAT 370 Bayesian Statistical Models (4 credits)
- STAT 413 Generalized Linear Mixed Models (4 credits)
- CISC 451 Database II (4 credits)
Allied Requirements:
- MATH 113* (or MATH 109* or MATH 112*) Calculus I (4 credits)
- MATH 128 Introduction to Discrete Mathematics (4 credits)
- CISC 131* (or CISC 130*) Introduction to Programming and Problem Solving (4 credits)
- CISC 230 Object Oriented Design and Programming (4 credits)
- CISC 450 Database I (4 credits)
* Note: A grade of C- or above must be earned by majors in these allied courses
Minor in Data Science
24 credits
A minor in Data Science allows students to pursue an interest in fundamental concepts critical for data-driven research and careers.
Required courses:
- DASC 120* (or DASC 112*) Introduction to Computational Statistics (4 credits)
- DASC 130* Introduction to Data Science (4 credits)
- DASC 240* Applied Regression Analysis (4 credits)
* Note: A grade of C- or above must be earned by students in these required courses
Plus 8 credits from the following:
- DASC 210 Biostatistics (4 credits)
- DASC 336 Data Communication and Visualization (4 credits)
- DASC 360 Multivariate Statistics and Data Analysis (4 credits)
- DASC 380 Spatial Statistics (4 credits)
- DASC 400 Data Mining and Machine Learning (4 credits)
- DASC 420 Network Science and Graph Theory (4 credits)
- DASC 460 Statistics and Data Science Practicum (4 credits)
- DASC 296 (or STAT 296) Topics (2 credits)
- DASC 298 (or STAT 298) Topics (4 credits)
- DASC 488 (or STAT 488) Topics (2 credits)
- DASC 490 (or STAT 490) Topics (4 credits)
- CISC 450 Database I (4 credits)
Allied Requirements:
- CISC 131* (or CISC 130*) Introduction to Programming and Problem Solving (4 credits)
* Note: A grade of C- or above must be earned by students in these allied courses