Paving Paths to Diverse Careers

Our programs foster analytical skills, offering a research-centric perspective that equips you to tackle complex, technical and abstract concepts with confidence. The skills honed here are transferable across various industries ensuring versatility in your career. Whether pursuing a degree in mathematics or computer science, you'll be equipped for diverse careers in both private and public sectors. Our graduates have ventured into rewarding paths in business, government and education.

 

Professors Take the Spotlight on the One Mic Stand Podcast

Graduate Director and Professor Dr. Jeffrey Jackson, along with Instructor of Computer Science and former student David Berdik, discuss the Computer Science master’s program with Jonathan Kersting from the PGH Tech Council on the One Mic Stand podcast.

Get Skills That Cross Industries

Learn the quantitative, qualitative and analytical skills essential for success across any industry.

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Undergraduate Programs

As an undergraduate student in our program, you'll engage in a dynamic curriculum that combines mathematics and computer science. Your studies will encompass topics such as calculus, linear algebra, discrete mathematics, data structures and algorithms, computer organization and architecture, programming languages, theory of computation, numerical methods and operating systems.

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B.S./M.S. Computer Science Combined Degree

Our B.S./M.S. Computer Science combined degree program is designed to fast-track your education and career. Enjoy a curriculum that blends theoretical foundations with practical, hands-on experience in areas like cybersecurity, artificial intelligence, computer architecture and operating systems.

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M.S. Computer Science

The Master of Science (M.S.) in Computer Science offers a comprehensive education in computing, focusing on current research areas, with opportunities for involvement in faculty research projects without comprehensive examinations. You will engage in challenging coursework that covers advanced topics in artificial intelligence, machine learning, algorithms, database systems and computer networks.

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Minors and Certificates

The department provides majors in a minor format, allowing you to pursue additional areas of interest alongside your primary focus. We also offer niche subjects as standalone minors or certificates, giving you the opportunity to expand your education and knowledge beyond your major-specific courses.

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Expand Your Horizons

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Experiential Learning

Expand your horizons through our study abroad programs, internships with tech giants, startups, and research institutions, while also participating in student clubs for networking, workshops and collaborative projects.

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Lively Location

Duquesne University is nestled in the heart of Pittsburgh, PA! A vibrant epicenter of finance and technology, fostering a dynamic environment for you to engage with industry leaders and opportunities.

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Research Opportunities

Build relationships with faculty, post-doctoral students and peers, that will connect you to research, educational and career opportunities.

  

Meet Our Faculty

Samantha Allen, Ph.D.

Samantha Allen, Ph.D.

Assistant Professor, Mathematics

David Berdik

David Berdik

Instructor, Computer Science

Adam Drozdek, Ph.D.

Adam Drozdek, Ph.D.

Associate Professor, Computer Science

John Fleming, Ph.D.

John Fleming, Ph.D.

Graduate Director, MS in Computational Mathematics and Statistics and Associate Professor, Mathematics

Matthew Goodburn

Matthew Goodburn

Instructor, Mathematics

Nicholas Hurl, Ph.D.

Nicholas Hurl, Ph.D.

Assistant Professor, Mathematics

Jeffrey Jackson, Ph.D.

Jeffrey Jackson, Ph.D.

Department Chair, Professor, Computer Science

Patrick Juola, Ph.D.

Patrick Juola, Ph.D.

Professor of Computer Science, Joseph A. Lauritis, C.S.Sp. Endowed Chair in Teaching and Technology

John Kern, Ph.D.

John Kern, Ph.D.

Associate Professor, Mathematics, Associate Dean, McAnulty College and Graduate School of Liberal Arts

Alex Lipecky

Alex Lipecky

Instructor, Mathematics

Robert Muth, Ph.D.

Robert Muth, Ph.D.

Assistant Professor, Mathematics

Rachael Miller Neilan, Ph.D.

Rachael Miller Neilan, Ph.D.

Professor, Mathematics

Brent Rogus

Brent Rogus

Instructor, Mathematics

Raffaele Romagnoli, Ph.D.

Raffaele Romagnoli, Ph.D.

Assistant Professor, Applied Mathematics and Computer Science

Andrew Segal

Andrew Segal

Instructor, Computer Science

Larisa Shtrahman

Larisa Shtrahman

Instructor, Mathematics

Donald Simon, Ph.D.

Donald Simon, Ph.D.

Graduate Director, Associate Professor, Computer Science

Lauren Sugden, Ph.D.

Lauren Sugden, Ph.D.

Assistant Professor, Statistics

Sean Tierney

Sean Tierney

Senior Instructor, Statistics

Karl Wimmer, Ph.D.

Karl Wimmer, Ph.D.

Associate Professor, Mathematics

Joseph Worthington

Joseph Worthington

Instructor, Mathematics

The Student & Instructor Perspective

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“As a student, I really appreciated the small class sizes because it allowed me to build relationships with my professors that would not have been possible in a lecture hall setting. Now, as an instructor, the small class sizes enable me to give the same one-on-one support to my students that I enjoyed during my time as a student.”

Instructor David Berdik MS Computer Science ’21, Instructor of Computer Science
Take The Next Step

Questions? Contact Us!

Jeffrey Jackson, Ph.D.

Department Chair, Professor

Mathematics and Computer Science

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