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Machine Learning and Autonomous Systems Bachelor’s Degree

Machine Learning and Autonomous Systems Bachelor’s Degree

Learn the skills used to automate systems that learn and improve from data and experience with minimal programming and human contact.

Machine learning and autonomous systems have already changed the future, and will continue to change the way we live and work. They are enhancing healthcare, workplace safety, transportation, space exploration and even aspects of daily life. The machine learning and autonomous systems bachelor’s degree is designed to provide students an advanced, in-depth and hands-on learning experience focused on the design, development and deployment of machine learning and artificial intelligence frameworks within autonomous systems. By creating autonomous systems that are cognitively enabled using modern programming languages, you will learn to develop and implement machine learning algorithms into autonomous systems frameworks.

120 credit hours

$694.48 per credit hour*

100% online

*This estimate is for illustrative purposes only. Your hours and costs will differ depending on your transfer hours, course choices and your academic progress. See more about tuition and financial aid.

Career Prospect Highlights

Median Salary

Nationwide Median Salary

Jobs 2023

Jobs Nationwide

Job Growth

5-Year Nationwide Job Growth

Application

Careers

As one of the few programs of its kind in the U.S., you’ll gain the skills needed to immediately join a growing field. The rapid technological growth means there are not enough skilled employees to meet industry demands. Career opportunities in this industry are expected to grow 15% in the coming years.

Career options for machine learning and autonomous systems graduates include, but are not limited to:

Curriculum

Choose between two tracks – web development or computational core.

Web Development Track

CMST 135 - Web Fundamentals (3 credits)
CMST 183 - Computer Systems Studio I (1 credit)
CMST 252 - System and Software Fundamentals (3 credits)
CMST 283 - Computer Systems Studio III (1 credit)
CMST 315 - Introduction to System Administration (3 credits)
CMST 332 - Web Development Project (3 credits)
CYBR 103 - Computing Principles (3 credits)
CYBR 180 - Introduction to Database Systems (3 credits)
CYBR 247 - Programming I (3 credits)
CYBR 250 - Hardware and Network Fundamentals (3 credits)
CYBR 335 - Programming II (3 credits)
MLAS 350 - Data Structures for Machine Learning (3 credits)

Computational Core Track

CC 110 - Introduction to Computing (3 credits)
CC 120 - Web Page Development (3 credits)
CC 210 - Fundamental Computer Programming Concepts (4 credits)
CC 310 - Data Structures and Algorithms I (3 credits)
CC 315 - Data Structures and Algorithms II (3 credits)
CC 410 - Advanced Programming (4 credits)
CC 510 - Computer Systems Administration (3 credits)
CC 515 - Full Stack Web Development (3 credits)
CC 520 - Database Essentials (3 credits)
CC 535 - Applied Data Science (3 credits)

Major Requirements (29 credits)

CMST 185 - Computer Systems Studio II (1 credit)
CMST 333 - Computer Systems/Digital Media Portfolio Defense (1 credit)
DIGME 137 - Fundamentals of Visual Communication (3 credits)
ETB 310 - Applied Data Analysis and Tools (3 credits)
MLAS 100 - Survey of Machine Learning and Autonomous Systems (3 credits)
MLAS 200 - Introduction to Automata and Cybernetic Systems Theory (3 credits)
MLAS 390 - Unsupervised Learning in Autonomous Systems (3 credits)
MLAS 400 - Supervised Learning in Autonomous Systems (3 credits)
MLAS 500 - Reinforcement Learning in Autonomous Systems (3 credits)
MLAS 502 - Autonomous Systems Senior Capstone (6 credits)

Math (15 credits)

MATH 100 - College Algebra (3 credits)
MATH 205 - General Calculus and Linear Algebra (3 credits)
STAT 225 - Introductions to Statistics (3 credits)
STAT 705 - Regression and Analysis Variance (3 credits)
STAT 730 - Multivariate Statistical Methods (3 credits)

Additional Requirements (18 credits)

COMM 106 - Public Speaking I (3 credits)
ENGL 100 - Expository Writing I (3 credits)
ENGL 200 - Expository Writing II (3 credits)
ENGL 302 - Technical Writing (3 credits)
COT 405 -Methods of Problem Solving for Integrated Professional Studies (3 credits)
COT 480 - Professional Conduct, Ethics and Analysis (3 credits)

Major Electives (6 credits)
Choose 6 credit hours from the following courses.

CIS 531 - Introduction to Programming Techniques for Data Science and Analytics (3 credits)
CIS 731 - Programming Techniques for Data Science and Analytics (3 credits)
CMST 305 - Robotics Programming (3 credits)
CMST 357 - Machine Vision (3 credits)
ECET 320 - Electronics Communication Systems (3 credits)
ETB 420 - Unmanned Communication Circuits (3 credits)
MLAS 501 - Artificial Intelligence Studio (3-6 credits)
STAT 701 - Fundamental Methods of Biostatistics (3 credits)
UAS 274- Introduction to Processing Remotely Sensed Data (3 credits)
UAS 370 - Small Unmanned Aircraft Systems Design and Construction (3 credits)