Master of Science in Artificial Intelligence Engineering

2 Years On Campus Masters Program

Auburn University

Program Overview

Auburn University's Master of Science in Artificial Intelligence Engineering (MS-AIEN) is a 30-credit-hour graduate program offered by the Department of Computer Science and Software Engineering, with both online and on-campus study options. The program prepares students to design and develop intelligent computing solutions through advanced study in artificial intelligence, machine learning, data mining, computer vision and natural language processing, making it suitable for students pursuing careers in AI engineering and technology innovation.

Curriculum Structure

Year 1: Students build a strong foundation in artificial intelligence and data-driven computing through three compulsory courses: Artificial Intelligence (COMP 6600), Machine Learning (COMP 6630) and Data Mining (COMP 6130). These subjects introduce intelligent algorithms, predictive modelling, data analysis and computational techniques used to solve real-world problems. Students also begin selecting technical electives based on their preferred AI specialization.

Year 2: Students deepen their expertise through advanced technical electives in areas such as Deep Learning (COMP 6650), Evolutionary Computing (COMP 6660) and Natural Language Processing (COMP 7970). Additional options include Explainable AI, Deep Learning for Computer Vision, AI for Security and Statistical Methods in Bioinformatics. Students may also choose a Directed Study (COMP 7930) or Capstone Engineering Project (COMP 7980) as part of their elective credits to gain additional research or practical experience.

Focus Areas: Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Computer Vision, Natural Language Processing, Evolutionary Computing, Explainable AI, AI for Cybersecurity, Robotics, Statistical Learning and Intelligent Systems.

Learning Outcomes: Demonstrate advanced knowledge of artificial intelligence and machine learning, design and evaluate AI-powered systems, apply data mining and analytical techniques to real-world problems, develop intelligent computational models, interpret complex datasets, understand ethical and societal considerations in AI development, and create effective technology solutions for different industries.

Professional Alignment (Accreditation): The program emphasizes practical AI engineering skills through advanced technical electives and optional directed studies or a capstone engineering project. Its curriculum supports professional development in artificial intelligence, machine learning and data-driven engineering.

Reputation (Employability Rankings): Auburn University's Department of Computer Science and Software Engineering provides graduate education focused on emerging computing technologies and industry-relevant AI applications. The university highlights opportunities for graduates across business, defense, education, government and healthcare. Its official program page also references LinkedIn's January 2026 report identifying AI Engineer as the fastest-growing job in the United States.

Experiential Learning (Research, Projects, Internships etc.)

At Auburn University, the MS in Artificial Intelligence Engineering program is designed to provide students with hands-on experience that is crucial for success in the rapidly evolving field of AI. Students engage in practical learning through various projects, internships, and access to state-of-the-art facilities and tools. This experiential learning approach ensures that you not only understand theoretical concepts but also apply them in real-world scenarios, preparing you for a successful career in AI.

Here are some key aspects of the experiential learning opportunities available in the program:

- Research Laboratories: Access to specialized labs such as the Auburn University Research and Development Center, where students can work on cutting-edge AI projects.
- Collaborative Projects: Opportunities to participate in group projects that simulate real-world challenges, fostering teamwork and problem-solving skills.
- Internships: Strong connections with industry partners provide students with internship opportunities that allow them to gain practical experience and network with professionals in the field.
- Software and Tools: Familiarity with industry-standard software such as TensorFlow, PyTorch, and MATLAB, which are integral to AI development and research.
- Field Trips: Organized visits to tech companies and research institutions, giving students insights into the latest advancements in AI and networking opportunities.
- Digital Resources: Access to extensive digital libraries and databases that support research and learning in AI and related fields.
- Interdisciplinary Collaboration: Opportunities to work with other departments and colleges within the university, enhancing the learning experience through diverse perspectives.

Progression & Future Opportunities

Pursuing an MS in Artificial Intelligence Engineering at Auburn University opens the door to a wealth of career opportunities in a rapidly growing field. Graduates often find themselves in high-demand roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and Robotics Engineer. The skills and knowledge gained through this program position students for success in various industries, from tech to healthcare.

Here’s what you can expect in terms of support and outcomes:

- University Services: Auburn offers dedicated career services, including resume workshops, interview preparation, and networking events specifically tailored for engineering students. The Office of Professional and Career Development provides resources to connect students with potential employers.

- Employment Stats and Salary Figures: Graduates from the MS in Artificial Intelligence Engineering program have an impressive employment rate, with many securing positions within six months of graduation. The average starting salary for graduates in this field is around $100,000, reflecting the high demand for skilled professionals.

- University–Industry Partnerships: Auburn has established partnerships with leading companies in technology and engineering, such as IBM and Boeing. These collaborations often lead to internship opportunities and real-world projects that enhance learning and employability.

- Long-term Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that the education you receive meets the highest standards and is recognized globally.

- Graduation Outcomes: Alumni of the program have gone on to work at top-tier companies and have reported high job satisfaction and career advancement opportunities, thanks to the robust curriculum and hands-on experience provided during their studies.

Further Academic Progression: After completing the MS in Artificial Intelligence Engineering, students have the option to pursue a Ph.D. in related fields, such as Computer Science or Engineering. This advanced study can lead to careers in academia, research, or specialized industry roles, further enhancing your expertise and career prospects.