CGS Machine Learning

Program Overview

The program consists of three required courses totaling 9 credits and is suitable for individuals seeking careers in implementing machine learning for AI in various fields. It provides a strong foundation for further studies in related fields and offers STEM OPT extensions for international students.

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)