Program Overview

Certificate of Graduate Study in Machine Learning

Overview

The Certificate of Graduate Study in Machine Learning is a fully online program that focuses on mathematical principles and practical experience programming artificial intelligence (AI). Students will learn how to apply machine learning concepts to critically analyze data and train machines to imitate human learning.

Program of Study

Required Courses (9 credits)

• Mathematics for Data Science
• Optimization Methods and Nonlinear Programming
• Machine Learning

This certificate program can be completed as a standalone credential or as part of the master's program in data science, providing the equivalence of 9 elective credits.

Career Outcomes

This program prepares students for careers in academia and industry, managing big data sets using contemporary mathematical tools. Potential job titles include:

• Data Analyst
• Data Engineer
• Data Research Analyst

Admissions Requirements

Deadlines

• Fall: Rolling
• Spring: Rolling
• Summer: Rolling

Required Application Materials

• Transcripts from all schools attended
• Statement of goals (1-2 pages discussing field of interest, related background, desired area of study, and research emphasis or career goals)

Special Notes

• This program is not eligible for federal financial aid.

Student Learning Objectives

• Understand the fundamental principles and theories of Machine Learning, including:
• Understanding the fundamental principles and theories of Machine Learning
• Ability to critically analyze data in practice using major Machine Learning concepts and contemporary software packages
• Displaying the knowledge and skills sufficient to establish a career in Machine Learning as a mathematical tool for Artificial Intelligence

International Students

• This degree is designated as a STEM program, allowing international students to apply for up to 12 months of post-completion Optional Practical Training (OPT) and potentially eligible for the F-1 STEM OPT work authorization extension.