Applied Machine Learning Minor

The minor in Applied Machine Learning gives students foundational skills in statistics and computer science, with some initial practical applications in machine learning. This enables them to support and contribute to tasks involving programming like automating processes, creating models, and gaining better insights. These skills are applicable to many industries: finance, commerce, healthcare, technology, and other areas where reliable predictions and systematic decision making provide an advantage.

Required Courses - 15 units

CS 50 Introduction to Programming 3 unit(s)
MATH 56 Calculus for Computer Sciences 3 unit(s)
MATH 115 Probability and Statistics for Computer Sciences 3 unit(s)
And two of the following:
CS 110 Foundations of Machine Learning 3 unit(s)
CS 111 Data Structures and Programming Algorithms 3 unit(s)
CS 112 Optimization for Machine Learning 3 unit(s)
CS 113 Supervised Learning Algorithms 3 unit(s)
CS 114 Unsupervised Learning Algorithms 3 unit(s)
CS 115 Introduction to Neural Networks and Deep Learning 3 unit(s)