Chart Your Path To Success

As a graduate student at Duquesne's Department of Mathematics & Computer Science, your journey will be filled with exciting and immersive experiences in the world of advanced mathematics and computer science. You'll dive deep into intriguing subjects like linear algebra, differential equations, and probability theory, while also mastering the fundamentals of programming, data structures, and algorithms.

Throughout your academic pursuit, you'll have the chance to explore captivating topics such as logic, computability theory, machine learning, artificial intelligence, and computational science. The possibilities are vast, and you'll have the freedom to choose elective courses in areas like cryptography, game theory, and operations research.

Upon completing either of the department's graduate programs, you'll be equipped with highly sought-after skills that open doors to lucrative and rapidly growing fields. Your expertise will be in demand, and you'll have exciting opportunities in software development, data science, artificial intelligence, financial technology (fintech), healthcare, and government sectors.

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MS Computer Science

As a master's student in computer science, you'll be part of a professional degree program carefully designed to equip you for a successful career in the field. Immersed in challenging and advanced coursework, you'll delve into exciting topics like artificial intelligence, machine learning, algorithms, database systems, and computer networks.

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MS Computational Mathematics & Statistics

In the Masters in Computational Mathematics & Statistics program, you will acquire advanced skills and knowledge encompassing theoretical foundations of mathematics and statistics, as well as practical applications in data science and related fields. The program's horizon-expanding electives will introduce you to cutting-edge topics like artificial intelligence, machine learning, and statistical computing, while also honing your advanced programming abilities and providing hands-on experience with large-scale data and high-performance computing systems.

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Department of Mathematics & Computer Science