Mathematics BA – Data Science Degree
Department of Mathematical and Digital Sciences
Effective Summer 2019
Required and Elective Courses (56 credits)
Required Core Data Science Courses (15 credits)
DATASCI 110 – Introduction to Data Science
DATASCI 210 – Data Visualization
DATASCI 310 – Databases for Big Data
DATASCI 420 – Advanced Data Science
Required Core Math Courses (23 credits)
MATH 125 – Calculus 1
MATH 126 – Calculus 2
MATH 185 – Discrete Mathematics
MATH 240 – Statistical Methods
MATH 241 – Probability and Statistics or MATH 141 Introduction to Statistics
MATH 314 – Linear Algebra
MATH 340 – Statistical Software
Required Core CS courses (9 credits)
COMPSCI 115 – Python Programming (3)
COMPSCI 215 – Advanced Python Programming (3)
COMPSCI 357 – Data Base Design
Elective Courses (Select 9 credits from the list below)
COMPSCI 121 – Object Oriented Programming in Java
COMPSCI 122 – Graphic Interface in Java
COMPSCI 221 – Advanced Java
COMPSCI 348 – Data Mining
COMPSCI 457 – Advanced Data Base Design
DIGFOR 219 – Introduction to Linux for Digital Forensics
MATH 225 – Calculus 3
MATH 320 – Programming in Mathematics
MATH 342 – Design and Analysis of Experiments
MATH 343 – Applied Regression Analysis
MATH 410 – Math Modeling