Certificate of Graduate Study in Machine Learning

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.

Program Outline

• Objective: The program aims to equip students with the knowledge and skills to apply machine learning concepts and algorithms for critical data analysis, enabling them to train machines to imitate human learning.
• Target Audience: This certificate caters to individuals seeking to establish careers in implementing machine learning for AI across various fields, including technology, finance, and research.
• Structure: The program consists of three required courses totaling 9 credits.
It can be pursued as a standalone credential or contribute 9 elective credits towards the Master's in Data Science.
• Delivery Mode: The program is delivered online asynchronously, allowing flexible access to course materials and assignments.

Outline:

Required Courses (9 credits):

Function Theory and Functional Analysis for Applications

Teaching:

• Delivery Mode: Online asynchronous learning, offering flexibility to students.

Careers:

• Potential Job Titles:
• Data Analyst
• Data Engineer
• Data Research Analyst
• Further Studies: Provides a strong foundation for pursuing graduate studies in computer science, biology, psychology, and other related fields.
• Admissions Requirements:
• Rolling admissions throughout the year (Fall, Spring, Summer)
• No departmental assistantship consideration
• Required application materials:
• Transcripts from all attended schools
• Statement of goals (1-2 pages)