Introductory Machine Learning Certificate

Introductory Machine Learning Certificate Requirements

Course List
Code	Title	Hours
Required Courses
CS 1400	Fundamentals of Programming (Prerequisites: CS 1030 or Math 1010 or higher MATH course or ACT math score of 23 or higher. )	3
MATH 1050	College Algebra / Pre-Calculus (MA) (Prerequisites: MATH 1010 or MATH 1000 or ACT math score of 23 or higher. )	3-4
or MATH 1060	Trigonometry (MA)
or MATH 1080	Pre-Calculus with Trigonometry (MA)
or MATH 1100	Business Calculus (MA)
or MATH 1210	Calculus I (MA)
CS 2320	Introduction to Machine Learning (Prerequisites: CS 1400)	3
Total Hours		9-10

Complete 9-10 hours of specified coursework that includes:
1. 3-4 credit hours of mathematics,
2. 6 credit hours of computing.
Complete all coursework with a C or higher.
Cumulative GPA of 2.0 or higher.

At the successful conclusion of this program, students will be able to:

Learn mathematical concepts essential for understanding and applying machine learning algorithms.
Acquire a foundational understanding of the principles and algorithms of machine learning, setting the stage for further study and practical application of machine learning within the student’s chosen field.
Use open-source tools for machine learning, enhancing their skills in practical implementation and collaboration within the ML community.
Gain hands-on experience in applying machine learning techniques to real-world problems, enhancing their problem-solving and analytical skills.