The most up to date description of the program is in the USC Catalogue. Course descriptions are available here.

Foundations of Data Science Minor

Required Introductory Courses (6 units):

• DSCI 250 Introduction to Data Science (4 units)
• ITP 115 Programming in Python (2 units)

Statistics/Probability Requirement - Choose One Course (4 units):

• BUAD 310g Applied Business Statistics (4 units)
• EE 364 Introduction to Probability and Statistics for Electrical Engineering and Computer Science (4 units)*
• MATH 208x Elementary Probability and Statistics (4 units)*
• MATH 407 Probability Theory (4 units)*
• MATH 408 Mathematical Statistics (4 units)*

Data Science Electives - Choose Three Courses (12 units):

• DSCI 351 Foundations of Data Management (4 units)
• DSCI 352 Applied Machine Learning and Data Mining (4 units)
• DSCI 429 Security and Privacy (4 units)
• DSCI 454 Data Visualization and User Interface Design (4 units)
• ITP 249 Introduction to Data Analytics (4 units)
• ITP 265 Object-Oriented Programming (4 units)
• ITP 487 Enterprise Data Analytics (4 units)
• ITP 489 In-Memory Data Modeling and Analytics (4 units)

Notes:

• A grade of C (2.0) or better is required for each of the courses taken.
• * Classes may have prerequisite requirements.

For prospective students, please visit the Undergraduate Admission website.

For current students, please contact:

Siobhan Littlejohn
Undergraduate Students (B.A.)
Data Science Major – Freshmen (last names A-G)
Foundations of Data Science Minor

Theresa Lucas
Undergraduate Students (B.A.)
Data Science Major – Freshmen (last names H-M)
Foundations of Data Science Minor

Annelise Laufer
Undergraduate Students (B.A.)
Data Science Major – Freshmen (last names N-V)
Foundations of Data Science Minor

Courtney Bushman
Undergraduate Students (B.A.)
Data Science Major – Freshmen (last names W-Z)
Foundations of Data Science Minor

Logan McCraley
Undergraduate Students (B.A.)
Data Science Major - So. Jr. Sr.
Foundations of Data Science Minor