Foundations of Data Science Minor

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The Foundations of Data Science minor teaches students the skills to apply techniques in data science to problems in their own discipline. Students will learn the basics of programming, how to apply statistics to evaluate data and techniques in data management, machine learning and visualization. Choosing from a variety of electives, students will be able to tailor this minor to learn the techniques most relevant to their needs.

Required Introductory Courses (6 units)

INF 250 Introduction to Data Informatics Units: 4
ITP 115 Programming in Python Units: 2

Statistics/Probability Requirement (4 units)

Choose one course:

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

Note:

*Requires prerequisite.

Data Science Electives (12 units)

Choose three courses:

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

Foundations of Data Science Minor

Required Introductory Courses (6 units)

Statistics/Probability Requirement (4 units)

Note:

Data Science Electives (12 units)

Total Units: 22