Drexel University

Overview

The Computer Engineering and Machine Learning Engineering program at Drexel University offers an accelerated BS/MS pathway that allows students to gain advanced knowledge and skills in both fields. This unique structure enables students to complete both degrees within a timeframe similar to that of earning just a bachelor's degree, providing them with valuable co-op and research experiences along the way.

What you'll study

Curriculum focus: The program integrates foundational concepts in computer engineering with advanced graduate-level topics in machine learning and engineering mathematics.

Sample graduate-level course topics may include:

• Detection & Estimation Theory
• Optimization Methods for Engineering Design
• Information Theory and Coding
• Linear Algebra & Matrix Analysis
• Applied Probability and Statistics I

Program structure: Students will fulfill undergraduate degree requirements while concurrently engaging in selected graduate-level coursework as part of the accelerated pathway. The specific sequence of courses will depend on individual academic backgrounds and degree planning with the program team.

Capstone/thesis: Students should verify the specific capstone or thesis requirements for the BS/MS pathway, as these can vary based on the chosen track.

Entry requirements

General admission requirements:

• Undergraduate Admissions Application
• Application fee
• Personal essay
• Transcripts
• Letters of recommendation
• Standardized test scores (optional for most applicants)
• Financial aid information (if applicable)
• Proof of financial responsibility (for international applicants)
• Portfolio (if applicable)
• Writing supplement (required for specific majors)

Applicants whose previous education was not in English will need to demonstrate English proficiency through accepted tests.

• TOEFL iBT: minimum score of 79
• IELTS: minimum score of 6.5

Career prospects

Graduates of the Computer Engineering and Machine Learning Engineering program are well-equipped for a variety of career opportunities in technology and engineering sectors. With a strong foundation in both computer engineering and advanced machine learning concepts, they can pursue roles in software development, data analysis, artificial intelligence, and more. Additionally, the valuable co-op experience and research involvement gained during the program enhance employability and career readiness.