Overview
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 in Machine Learning Engineering
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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Machine Learning & Artificial Intelligence
- Applied Machine Learning Engineering
- Pattern Recognition
- Probability & Random Variables
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 18 months
- Part-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
Credits
Delivered
Disciplines
Machine Learning View 119 other Masters in Machine Learning in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Drexel University College of Engineering and/or in United States, please visit Student Insurance Portal.
Other requirements
General requirements
- Applicants must satisfy general requirements for graduate admission including a minimum 3.0 GPA (on a 4.0 scale) for the last two years of undergraduate studies, as well as for any subsequent graduate work. Students will be required to hold a BS in electrical engineering, computer engineering, or computer science; or a bachelor’s degree in an aligned area (e.g. statistics, neuroscience, etc.) in addition to an appropriate technical background which will be reviewed during the admissions process.
- Full-time applicants are encouraged to take the GRE exam. Students who do not hold a degree from a US institution must take the TOEFL or IELTS exam within two years of application submission.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
37074 USD/yearTuition FeeBased on the tuition of 37074 USD per year during 18 months. -
National
37074 USD/yearTuition FeeBased on the tuition of 37074 USD per year during 18 months. -
In-State
37074 USD/yearTuition FeeBased on the tuition of 37074 USD per year during 18 months.
- Tuition fees for international students are based on 3 quarters.
- National students:$1,342
Living costs for Philadelphia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning Engineering Co-op.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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