Computer Science

At Duquesne University, the Bachelor of Science (B.S.) in Computer Science program offers a comprehensive degree in computing theory and applications of computer science. Throughout the program, you'll have opportunities to study different programming languages and take courses in machine learning, security, computer graphics and artificial intelligence, for example. With a strong emphasis on both theory and practical application, you'll develop the skills needed to design innovative software solutions and tackle complex computational problems. 

Duquesne's program goes beyond just technical knowledge, integrating courses in mathematics, science, professional development, and communication to provide you with a well-rounded education. Small class sizes ensure personalized attention from expert faculty who are dedicated to your success. Additionally, the university's location in Pittsburgh, a hub for technology and innovation, offers ample opportunities for internships and networking with industry leaders.

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Program Information

Duquesne University's B.S. in Computer Science program covers a broad range of topics including programming, algorithms, data structures, computer architecture, software engineering, and computer networking. Graduates are well-equipped for careers in various sectors including technology, finance, healthcare, and more, as well as for further academic pursuits in computer science or related fields.

Program Type

Major

Degree

Bachelor's

Duration

4-year

Required Credit Hours

120

Computer Science FAQs

Frequently Asked Questions (FAQs) about Computer Science

Computer science is the study of computers and computational systems. It involves the theory, experimentation, and engineering that form the basis for the design and use of computers. Computer scientists work to understand and solve complex problems using computational processes.

A degree in computer science provides a gateway to numerous career opportunities spanning various industries. Among the most common career paths for computer science majors are Software Developer/Engineer, Data Scientist/Analyst, Cybersecurity Analyst, Systems Administrator, Network Engineer, Database Administrator, Artificial Intelligence/Machine Learning Engineer, Software Quality Assurance (QA) Engineer, Web Developer, and Computer Science Educator/Researcher.

You can expect to learn a variety of programming languages, including Python, Java, C/C++, and Assembly Language.

Remember that the programming languages you learn in a computer science program are just tools to help you understand fundamental concepts and problem-solving techniques. The ability to learn new languages and adapt to different technologies is an essential skill for a computer scientist!

Absolutely! Pursuing graduate studies after completing a bachelor's degree in computer science is a common and highly recommended path for many students.

If you're interested in conducting advanced research or pursuing academic careers, a Ph.D. in computer science may be a suitable option.

Alternatively, you can pursue a master's degree in computer science, which offers specialized coursework, advanced topics, and opportunities for research and thesis projects.

 
Learn more about the MS in Computer Science
YES! Our department offers a combined B.S./M.S. Computer Science program designed to accelerate your education and career. You'll benefit from a curriculum that integrates theoretical foundations with hands-on experience in areas like cybersecurity, artificial intelligence, computer architecture and operating systems.
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Internship Opportunities

Internships play a crucial role in career development. In our program, you will have access to a wide range of internship opportunities, spanning large and small companies, non-profit organizations, and government agencies.

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Student Organizations

Explore our diverse array of clubs and organizations spanning interests in computer science and other STEM programs. With guidance from faculty advisors and staff, you'll have the opportunity to meet students with similar interests, organize events and make a positive impact in your community.

Sample Course Work

This is sample coursework for the Computer Science BS degree. Please note: Students must receive a minimum grade of C or better in all of their COSC courses and may repeat each COSC course at most one time. A withdrawal is not counted in determining the number of repetitions of a course.

Fall Semester (16 credits) 
  • Programming: Java
  • Discrete Math
  • Writing and Analysis
  • Essential Questions Seminar
  • Intro to Ethical Reasoning
  • Research & Info Skills

Spring Semester (16 credits)
  • Data Structures in Java
  • Calculus I
  • Writing and Literature
  • Social & Historical reasoning
  • Communication & Creative Expression
Fall Semester (16 credits) 
  • Comp Org & Assembly Lang
  • Algorithms
  • Calculus II
  • STEM Communication
  • Cultural Fluency

Spring Semester (15 credits)

  • Operating Systems
  • COSC 200-400 Level Elective
  • MATH Elective (≥215 level)
  • Ethical Reasoning 
  • Theology
Fall Semester (14/15 credits) 
  • Professional Development Seminar
  • COSC 200-400 Level Elective
  • COSC 200-400 Level Elective
  • Intro Prob & Stats OR Intro Biostats
  • BIOL 111/L, CHEM 121/L, OR PHYS 211/L

Spring Semester (16/17 credits) 

  • COSC 200-400 Level Elective
  • COSC 200-400 Level Elective
  • MATH or Science Elective
  • BIOL 112/L, CHEM 122/L, OR PHYS 212/L
  • Philosophy
Fall Semester (13 credits)
  • COSC 401, 410, 430, 445W, OR 460
  • COSC 400 Level Elective
  • MATH or Science Elective
  • General Elective
  • Experiential Learning course

Spring Semester (15 credits) 

  • Comp Sci Capstone
  • COSC 200-400 Level Elective
  • COSC 400 Level Elective
  • General Elective
  • General Elective

Learning Outcomes

  1. Write correct, efficient, high-quality code in a high-level programming language.
  2. Analyze a complex problem amenable to automation and produce an effective software solution.
  3. Explain or write code related to a primary function of operating systems, such as memory management or support for concurrency.
  4. Communicate technical information effectively to either a technical or non-technical audience.
  5. Apply the entire software development process in a professional manner to a large project.

Questions? Contact Us!

Initiate your journey into the Computer Science program today by reaching out to your Curriculum Coordinator!

Andrew Segal

Instructor of Computer Science

Mathematics and Computer Science

Andrew Segal