Applied Analytics Minor

The minor in Applied Analytics prepares undergraduate students in the field of data analytics as applied to real-world problems. Applications vary from business to health care, social media to sports. The goal is to educate students to become data analysts. Students in the minor will learn all aspects of analytics: technology infrastructure to stage data, techniques to analyze data, tools to visualize results, and systems to publish and share the findings.

Requirements for minor completion: Minimum units 18 - 20

Required Courses (14-16 units)

ITP 115 or ITP 116 may be waived with demonstrated prior Python programming experience.

ITP 115 Programming in Python Units: 2 or
ITP 116 Accelerated Programming in Python Units: 2
ITP 216 Applied Python Units: 2
ITP 249 Introduction to Data Analytics Units: 4
ITP 349 Enterprise Data Analytics Units: 4
ITP 449 Applications of Machine Learning Units: 4

Electives (Choose a minimum of 4 units)

DSO 424 Business Forecasting Units: 4
* Students must take BUAD 310g prior to taking DSO 424 .
DSO 428 Essentials and Digital Frontiers of Big Data Units: 4
ITP 259 Basics of Artificial Intelligence Units: 4
ITP 419 Advanced Cloud Analytics Units: 4
ITP 489 In-Memory Data Modeling and Analytics Units: 4