Computer Science Comprehensive Major: Applied Machine Learning Emphasis

Machine learning/artificial intelligence is one of the fastest growing areas in the industry, driven by the demand for computer vision, self-driving cars, large language models, data analytics, fraud detection, and many other exciting applications.  In the Applied Machine Learning Comprehensive Major, students will take a deep dive into data analytics, machine learning algorithms, deep learning models, large language models, and other cutting-edge algorithms.   

Program Learning Goals:

• Students will have marketable skills in modern tools & programming
  languages.
• Students will have real-world computational problem-solving skills.
• Students will be able to learn new technologies and computational skills.
• Students will be capable of technical communication & team-oriented
  development.
• Students Will Be Able to Develop and Apply AI/Machine Learning Across
  Multiple Domains.

Western students have the option to pursue the 45-credit Standard Program or one of the following Comprehensive Majors: the 63-credit Software Engineering Major, the 60-credit Information Security Major, the 65-credit Scientific Computing Major, or the 63-credit Applied Machine Learning Major.  Course work in the Applied Machine Learning Major will cover modern tools and frameworks such as OpenCV, TensorFlow, Scikit, SpaCy, and NLTK.  Students will learn to build real-world applications related to deep learning, computer vision systems, and large language models. The Applied Machine Learning Major will require the 33-credit Computer Science Core, along with the 30-credit Applied Machine Learning Major emphasis courses.   

A minimum of 63 credits is required, including the 33-credit Computer Science Core and the following: