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

Programme Structure

Courses include:

Machine Learning & Artificial Intelligence

Applied Machine Learning Engineering

Pattern Recognition

Probability & Random Variables

Key information

Duration

Full-time
- 18 months
Part-time
- 36 months

Start dates & application deadlines

Starting 2026-09-22 00:00:00
- Apply before 2026-09-01 00:00:00 , National
- Apply before 2026-06-01 00:00:00 , International

Language

English

Duolingo English Test

110

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IELTS

6.5

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Credits

45 alternative credits

Delivered

On Campus

Campus Location

Philadelphia, United States

Disciplines

Machine Learning View 103 other Masters in Machine Learning in United States

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Academic requirements

GPA

English requirements

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Transcripts

Test of English as a Foreign Language

Essay

Résumé
Letters of Recommendation

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

41460 USD / year

≈ 41460 USD / year
Out-of-State

41460 USD / year

≈ 41460 USD / year
Domestic

Applies to you

In-State

41460 USD / year

≈ 41460 USD / year

Additional Details

Tuition fees for international students are based on 3 quarters.

Living costs

Philadelphia

United States

1313 - 2284 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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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.

On this page

About

Overview

Career Opportunities in Machine Learning Engineering

Graduate Co-Op Program

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Living costs

Philadelphia

Financing

Funding

Scholarships Information

Available Scholarships

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