About the program

The Machine Learning Engineering Co-op course at Drexel University allows you to earn the skillsets that help you and your organization best leverage its data, incorporate the coming wave of automation in all its varieties, and understand and explore the potential ways machine learning can improve our lives and environment.A master’s in machine learning engineering provides knowledge in these three important pillars:

• Fundamentals: Become an expert in the underpinnings of modern machine learning while drawing from an understanding of fundamental principles from various disciplines in order to develop and innovate successful solutions that are best suited to a given problem.
• Implementation: Integrate industry-leading software tools to rapidly prototype machine learning systems. Gain exposure to novel computing architectures of machine learning for implementation of new and advanced outcomes.
• Applications: A graduate program should actively demonstrate how the discipline is put to use in cutting-edge areas where machine learning is being applied in industries ranging from technology, healthcare, bioengineering, smart-cities, the Internet-of-Things, cybersecurity and many others.

Career Opportunities

A machine learning engineering graduate program will prepare you for a career path that could include continuing your education in a PhD program or pursuing advanced technical positions or management in nearly every technology-based industry such as telecommunications companies, high-tech industries, smart manufacturing, electronics manufacturing, information security, automation or robotics.

Graduate Co-Op Program

Graduate co-op is an optional three or six-month work experience woven into academic studies for full-time master’s students. Drexel University co-op provides the opportunity to apply theory learned in class to a work experience before graduating. The insights help to direct the vision you have for your career and provide context for the remainder of your learning. You will take advantage of resources from the Steinbright Career Development Center, including programming that enhances your professionalism and resume writing and provides resources for your job search.
Starting fall 2024, students that select this option will now have access to the Steinbright Career Development Center job matching platform and will move their co-op cycle from summer to fall. For students interested in the Graduate Co-op program the best time to start is in the fall so students have access to all the resources available to them.

Some program highlights include:

• Opportunity to earn money gain professional experience as an engineer
• Students may work in a lab to gain valuable research skills
• Most positions are paid, and most are fulltime
• Average weekly pay is around $1098 per week
• International students – considered CPT and does not affect OPT

Courses Included

• Machine Learning & Artificial Intelligence
• Applied Machine Learning Engineering
• Pattern Recognition
• Probability & Random Variables