Program Overview

Machine Learning & Autonomous Systems

Machine learning is all around us, evident in digital assistants, website recommendations, and self-driving vehicles. At the core of autonomous systems, machine learning enables applications to learn and improve from data and experience with minimal to no human intervention. This technology is crucial for predicting, planning, and sensing the environment.

Why our program?

As one of the few programs of its kind in the United States, students gain the skills needed to immediately join a growing field. The degree can be earned on campus, online, or through a hybrid approach. Machine learning and autonomous systems are transforming healthcare, workplace safety, transportation, space exploration, and daily life. With rapid technological growth, there is a high demand for skilled employees, and career opportunities in this industry are expected to grow by 15%.

Collaborative Robot

Students learn to program the lab's "Cobot," or collaborative robot, and teach it to problem solve by testing algorithms.

Advanced Technology

The program utilizes multiple Tesla V100s, one of the world's most advanced GPU-based AI processors, which faculty use to teach artificial intelligence.

Hands-on Learning

Students operationalize machine learning and deep learning models within autonomous systems, whether in the classroom or virtually.

Program Details

The machine learning and autonomous systems bachelor's degree provides 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. Students learn to develop and implement machine learning algorithms into autonomous systems frameworks using modern programming languages.

Careers

Career options for graduates include:

• Machine Learning Engineer
• AI Engineer
• Data Mining and Analysis
• Data Scientist
• Business Intelligence Developer
• Big Data Engineer
• AI Data Analyst

Curriculum

The program offers a comprehensive curriculum that includes courses designed to provide students with essential skills and knowledge in machine learning and autonomous systems.

Industry Advisory Board

The program has a 14-person advisory board, with members bringing unique perspectives and industry experience.

Faculty

The faculty consists of individuals with real-world industry experience and research expertise, providing students with the most essential skills and information.

Program Overview

The machine learning and autonomous systems bachelor's degree is designed to meet the growing demand for skilled professionals in this field. With its comprehensive curriculum, advanced technology, and hands-on learning approach, the program prepares students for a wide range of career opportunities in machine learning and autonomous systems.