B.S. Computer Science
The Bachelor of Science in Computer Science program offers a challenging and highly rewarding course of study that provides a strong foundation in theoretical computer science as a basis for upper-level courses in areas such as computer architecture, operating systems, algorithm analysis, and computer graphics. Students engage in a curriculum that blends computer science with a firm foundation in the sciences and mathematics, preparing them for advanced work in computer science and for computer-related careers in industry.
- Visit the 2019-2020 University Catalog for a list of complete degree requirements.
- See the Mathematics Curriculum Plan for an overview of mathematics requirements.
- Because real-world experience is critical in computer science, the department offers courses in applied software development, parallel systems, and programming languages in addition to theoretical computing education courses.
- Internships are available for academic credit. Students can also apply for cooperative education which allows them to work full-time in the field while earning academic credit, income and valuable work experience.
Areas of Study
- CSCI 210 Computer Organization and Programming
- CSCI 220 Data Structures
- CSCI 356 Operating Systems
- CSCI 380 Introduction to the Analysis of Algorithms (3 credits)
- CSCI 390 Theory of Computation
- CSCI 473 Introduction to Parallel Systems
Jean French, Ph.D.
Professor, Department Chair
Which degree is right for me?
Though information systems, information technology, cybersecurity, software engineering, artificial intelligence, and other fields of computing fall under the broad umbrella of computer science, there are enough differences to distinguish areas of study. The Department of Computing Sciences offers three Bachelor of Science programs. Which program is right for you? Visit the Degree Program Comparison  (PDF).
Program Educational Objectives are skills that we expect our graduates to attain within three to five years after completing their program of study. The most recent published Performance Educational Objectives are from the CCU 2019-2020 Undergraduate Catalog.
Our program graduates are expected to be:
- Contributing to society through the application of strong core competencies in the field,
- Demonstrating a commitment to professional and ethical practice, and
- Successfully adapting to technical, societal, and environmental changes by building upon strong foundational competencies.
Student Learning Outcomes are skills that we expect our students to attain by graduation. The most recent Student Learning Outcomes have been adopted for the 2019-2020 academic year.
Graduates of the program will have an ability to:
- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- Apply computer science theory and software development fundamentals to produce computing-based solutions.
The latest enrollment and graduation information is provided below. For additional details, see the Gupta College of Science Fact Book available from the College Fact Books page.
- 2018: 165
- 2017: 189
- 2016: 200
- 2015: 231
- 2014: 193
- 2013: 173
Graduation Data (Degrees Awarded)
- 2017 - 2018: 28
- 2016 - 2017: 28
- 2015 - 2016: 7
- 2014 - 2015: 11
- 2013 - 2014: 14
- 2012 - 2013: 13