What You’ll Learn in UIC’s Online Master of Engineering With a Concentration in AI and Machine Learning

Artificial intelligence (AI) and machine learning (ML) are transforming industries faster than ever before. From finance to healthcare, companies are looking for leaders who can turn data into real-world impact. UIC’s Online Master of Engineering (MEng) with a concentration in AI and Machine Learning helps students do exactly that. This flexible program combines advanced engineering skills with leadership development, giving graduates the tools to solve problems, manage projects, and shape the future of technology. The program’s accelerated format allows students to finish in as few as 12 months without putting their careers or personal lives on hold.

Program Director Dr. Carmen Lilley explains how the curriculum equips students with the most relevant AI, ML, and engineering leadership skills. Here are four things you’ll gain from UIC’s Master of Engineering degree that will prepare you for a career in AI engineering.

1. A Strong Foundation in AI and Machine Learning

Students begin by mastering the core techniques that drive today’s AI solutions. Coursework covers deep neural networks, natural language processing models, computer vision, and mathematical foundations. According to Dr. Carmen Lilley, Program Director, the foundation was intentionally designed to reflect the needs of today’s workforce. “The learning outcomes are a consensus among the faculty in MEng who are experts in either AI, ML, or business leadership,” said Dr. Lilley. “It was their feedback on what the new curriculum and course design should reflect and the most relevant technical skills that greatly impact somebody within the program.”

By grounding students in these core methods, the program ensures they don’t just understand theory; they build the ability to apply AI and machine learning tools to real datasets and scenarios.

2. Applying AI Across Industries

One of the most valuable parts of the program is learning how to connect classroom knowledge to real-world challenges. Students explore engineering applications of artificial intelligence in areas such as finance, healthcare, and technology, with the flexibility to pursue projects that align with their own industries. A course example includes MENG 419: Intro to Artificial Intelligence, where students experience a range of AI tools and learn to apply them to problems they may face during their career.

“With professional students in mind, we created the learning outcomes while thinking about how they use AI and ML in their everyday careers, or the potential to pivot to a new area,” said Dr. Lilley. “You see, the integration of AI in industries like finance, because it’s such an adaptive area, they can quickly apply these new skills to their industry.” By emphasizing real-world applications, the program helps students recognize how AI can transform their current roles and opens doors to opportunities in new fields, whether improving patient outcomes in healthcare, driving more innovative financial models, or developing the next wave of tech innovation.

3. Leadership Training for Engineers in AI

The MEng program helps students develop engineering leadership abilities that are critical for managing complex AI and engineering projects. Through courses like MEng 401: Engineering Management, students learn to oversee the entire project lifecycle, including scope, cost, time, risk, and quality.

They gain the practical skills to coordinate cross-functional teams, make informed decisions, and manage project constraints effectively, preparing them to take on leadership roles in engineering and technology. By the end of the program, graduates are equipped to guide projects efficiently, lead teams confidently, and navigate the complexities of modern engineering enterprises.

4. Ethics, Law, and Responsible AI

As industries race to adopt AI, it’s critical to understand its risks and limitations. Courses such as MENG 400: Engineering Law ensure students can think critically about fairness, bias, and accountability. “Some of the issues that emerge in AI and ML are due to technology not being fully tested or vetted yet,” said Dr. Lilley. “When we think of fairness, ethics, and bias in using AI and Machine Learning, it’s because some of the data wasn’t fully tested or thought out. Having students learn from their peers’ perspectives helps them think through the implications of these types of technology.”

Graduates leave with technical expertise and the judgment to apply AI responsibly, a skill increasingly sought after in the field.

Why Choose UIC for Your Master of Engineering Degree?

• 100% online, designed for working professionals
• Accelerated 8-week courses; finish in as few as 12 months
• Curriculum built by leading AI, ML, and engineering faculty
• Balance of technical engineering skills and leadership training

Whether you’re exploring how to become an AI engineer or want to expand your role in innovation, UIC’s Online Master of Engineering with a concentration in AI and Machine Learning provides the advanced skills and leadership tools to help you succeed.