Artificial Intelligence & Machine Learning Technologies
Program Goals & Outcomes
The Center of Workforce Development at Rose State serves as a go-to resource, offering educational programs for business and government agencies and thousands of adult learners each year. Workforce Development offers an Associate of Science in Artificial Intelligence/Machine Learning.
Upon successful completion of this program, students will be able to:
- Deploy artificial intelligence principles or methodologies;
- Apply fundamental machine learning algorithms and techniques;
- Analyze natural language data; and
- Deploy basic computer vision solutions.
Associate of Science in Artificial Intelligence/Machine Learning
As AI/ML technologies continue to transform industries worldwide, there is a substantial demand for skilled professionals. This new program aims to meet Oklahoma’s workforce demand by providing students with the knowledge and skills needed to excel in this rapidly evolving field.
Cutting-Edge AI/ML Program
The AI/ML program at Rose State College aims to equip students with both fundamental and practical knowledge. The curriculum includes comprehensive courses such as Artificial Intelligence Thinking, Machine Learning Foundations, Natural Language Processing, and Computer Vision. These courses are designed to build a strong foundation and provide hands-on experience in AI/ML technologies for new careers.
GENERAL EDUCATION REQUIREMENTS (37 hours min.)
English Composition (9 hours)
- ENGL 1113 English Composition I+
- ENGL 1213 English Composition II+
- ENGL 2053 Technical Report Writing+
U.S. History/U.S. Government (6 hours)
- HIST 1483 U.S. History to 1877
or HIST 1493 U.S. History Since 1877 - POLS 1113 American Federal Government
Sciences (7 hours) – one must include lab
Students must earn a “C” or better in these courses to be eligible for graduation.
See Science electives below.
Humanities (3 hours minimum)
- PHIL 2113 Introduction to Logic & Critical Thinking+
Mathematics (9 hours)
Students must earn a “C” or better in these courses to be eligible for graduation.
- MATH 1513 College Algebra+
- MATH 2103 Discrete Math+
- MATH 2083 Introduction to Statistics for Engineering & Sciences+
Liberal Arts (3 hours)
- PHIL 2603 Ethics of Data Science+
PROGRAM REQUIREMENTS (27 hours)
Students must earn a “C” or better in these courses to be eligible for graduation.
- AIML 1003 Artificial Intelligence Thinking
- AIML 1013 Machine Learning Foundations
- AIML 2003 Introduction to Natural Language Processing
- AIML 2013 Introduction to Computer Vision
- CIT 1113 Fundamentals of Programming Logic
- CIT 1203 Script Programming+
- CIT 1613 Introduction to Java® Programming+
- CIT 2013 Database Theory and Design
- CIT 2433 Cloud+ Certification Preparation
General Education Electives for Science
HSBC 1104, HSBC 1224, HSBC 2103, HSBC 2114, GEOG 1114, or any course with the following prefixes: ASTR, BIOL, CHEM, ENSC, GEOL, METR, PHSC, or PHYS.
Suggested Order of Enrollment
The following courses should be taken in the sequence indicated. Students should enroll in a combination of General Education Requirements and Program Requirements to complete the degree. Some courses are offered only once each year; some courses are offered only in the day; some courses are offered only in the evening; and summer course offerings vary. Therefore, check the College Catalog and/or class schedule for course offering specifics. The “+” symbol represents a prerequisite for the course. Any course offering is subject to change without notice.
1st Fall Semester
| 1st Spring Semester
|
Summer Semester
| 2nd Fall Semester
|