Kansas State University
Bachelor of Engineering Technology – ML and Autonomous Systems
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $50.3K in total tuition, the Bachelor of Engineering Technology – ML and Autonomous Systems sits roughly 42% below the $86.6K average for AI bachelor's programs in our database — placing it in the 43rd percentile on cost among the 232 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: Applicants must have a high school diploma or equivalent with competitive GPA and standardized test scores (SAT/ACT). Some programs may require foundational coursework in mathematics and computer science.
About This Program
This program provides a comprehensive, hands-on education in the development and deployment of machine learning and artificial intelligence frameworks specifically within the context of autonomous systems. Coursework concentrates on Robotics & Autonomous Systems and Tech. Most students complete it in about 4 years.
Estimated total tuition is $50.3K, below the $86.6K average for AI bachelor's programs in our database and in the 43rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Begin Machine Learning Engineer career in Engineering AI with machine learning focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.
Career Outcomes
Begin Machine Learning Engineer career in Engineering AI with machine learning focus
- 1. Machine Learning Engineer
- 2. Autonomous Systems Engineer
- 3. AI Software Developer
- 4. Robotics Engineer
What You'll Learn
- Design and deploy machine learning models for autonomous systems that learn and improve with minimal human intervention
- Implement supervised and unsupervised learning algorithms in real-world applications
- Develop and operationalize autonomous systems through capstone projects and hands-on experience
- Apply reinforcement learning and deep learning techniques to complex engineering problems
Curriculum Highlights
The curriculum includes a technical core with courses in reinforcement learning, automata and cybernetic systems theory, data structures, and an artificial intelligence studio.
Top Employers
Top employers for ML and autonomous systems graduates include major technology companies like Google, Amazon, Tesla, and Boeing, as well as aerospace and defense contractors.
Admissions
Applicants must have a high school diploma or equivalent with competitive GPA and standardized test scores (SAT/ACT). Some programs may require foundational coursework in mathematics and computer science.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: 0–2
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor of Science (BS)
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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