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MS in Computer Engineering

The Computer Engineering programme from Drexel University requires a minimum of 45.0 approved credits chosen in accordance with a plan of study arranged in consultation with the student’s advisor and the departmental graduate advisor.

Quick Facts

Duration: Full-time: 2 years
Part-time: 3 or 4 years
Starting in: April, September
Tuition Fee: $32,000 per year
Location: Philadelphia, United States

The Computer Engineering programme from Drexel University has a curriculum designed to:

  • address the needs of students with a variety of different backgrounds;
  • ensure that graduates will have adequate knowledge and skills in at least one area of specialization;
  • meet the immediate needs of working students as well as to adequately prepare full-time students for a real-world technological environment; and
  • equip students with tools to grasp and develop new technologies and trends.

Key facts:

Up to but not exceeding 9.0 research/thesis credits may be taken by students who choose to write a master’s thesis. Students who elect a non-thesis option are also encouraged to engage in research, by registering for supervised research credits (not to exceed 9.0 credits).

Students within the Master of Science in Computer Engineering are eligible to take part in the Graduate Coop Program, which combines classroom coursework with a 6-month, full-time work experience.

The MS in Computer Engineering curriculum encompasses completion of a minimum of 45 graduate quarter credit hours, chosen in accordance with the following requirements. Students are encouraged to compose a plan of study, in consultation with the graduate advisors and the student’s supervising professor (if applicable).

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Akshay Finney works in cybersecurity doing what he calls ‘ethical hacking,’ where he and his colleagues travel to hospitals and hack their systems to demonstrate how they’re vulnerable. At Drexel, Akshay had three standout moments during his academic career. The first was his first day of Web Security 101, where the professor (who Akshay deemed ‘amazing’) blew his mind by delving into computer science. The next was his co-op experience at Meditology.

‘I learned so much in six months,’ says Akshay, ‘I learned real skills that translated to the work force.’ The third standout moment for Akshay was when he and his classmates hosted a cybersecurity conference. They brought in top of the line companies and people, for the purpose of getting students exposure with industry professionals. For Akshay, his work is building off of his Master’s Thesis, which focused on cyber-physical systems and medical device security; ‘I love what we do. We do it so people can sleep better at night.’

Akshay Finney


  • Theory of Computation
  • Applied Symbolic Computation
  • Machine Learning
  • Approximation Algorithms
  • Computational Geometry
  • Fundamentals of Systems

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