Software Development
A strong programming foundation across multiple languages prepares students for software engineering, application development, and full-stack development roles.
Joan P. Brock School of Mathematics & Natural Sciences
Computer Science
Department Chair: Dr. Margaret Reese
Computer Science is the study of how to design, build, and reason about software and algorithms — skills that apply everywhere from business and medicine to entertainment and manufacturing. The program covers everything from entry-level programming to advanced topics, supported by dedicated computing labs and resources.
Students choose between a B.A., a broad foundation in computer science fundamentals, and a B.S., which adds a stronger science and mathematics foundation along with a required undergraduate research experience. Both options prepare students well for graduate study. Upper-level electives let students specialize in areas like databases, numerical methods, programming language design, or cybersecurity.
The department also offers minors in Computer Science, Data Science, and Cybersecurity for students in other majors who want a technical credential alongside their primary field of study.
Requirements
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 205
Foundations of Logic and Proof
4 hrs
CS 310
Introduction to Computer Systems
4 hrs
CS 311
Data Structures
4 hrs
300/400-level Electives
Three courses (up to two may be Cybersecurity courses): CS 331 Systems Analysis and Design · CS 350 Numerical Methods · CS 380 Programming Languages · CS 430 Database Management Systems Design · CS 440 Operating Systems · CS 389 Advanced Topics in Computer Science · CS 489 Research in Computer Science · CYB 301 Cybersecurity Essentials and Tools · CYB 320 Cyber Networks and Communication · CYB 389 Advanced Topics in Cybersecurity · CYB 423 Operating Systems Security and Administration · CYB 445 Ethical Hacking and Penetration Testing · other CS/CYB courses at the 300 level or higher as approved by advisor
12 hrs
MATH 171
Calculus I
4 hrs
MATH 210
Introductory Statistics
4 hrs
Total Hours Required
40
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 205
Foundations of Logic and Proof
4 hrs
CS 310
Introduction to Computer Systems
4 hrs
CS 311
Data Structures
4 hrs
300/400-level Electives
Three courses (up to two may be Cybersecurity courses): CS 331 Systems Analysis and Design · CS 350 Numerical Methods · CS 380 Programming Languages · CS 430 Database Management Systems Design · CS 440 Operating Systems · CS 389 Advanced Topics in Computer Science · CS 489 Research in Computer Science · CYB 301 Cybersecurity Essentials and Tools · CYB 320 Cyber Networks and Communication · CYB 389 Advanced Topics in Cybersecurity · CYB 423 Operating Systems Security and Administration · CYB 445 Ethical Hacking and Penetration Testing · other CS/CYB courses at the 300 level or higher as approved by advisor
12 hrs
CS 489
Research in Computer Science (Capstone)
4 hrs
Mathematical Science Courses
MATH 171 Calculus I · MATH 172 Calculus II · MATH 210 Introductory Statistics · MATH 217 Linear Algebra · PHYS 221 University Physics I
4 hrs
Total Hours Required
56
Foundational Course
One of: CS 107 Introduction to Python Programming · CS 110 Introduction to Programming with Visual BASIC · CS 205 Foundations of Logic and Proof
4 hrs
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
300-level+ Electives
Two of: CS 307 Data Science Using Python · CS 310 Introduction to Computer Systems · CS 311 Data Structures · CS 331 Systems Analysis and Design · CS 350 Numerical Methods · CS 380 Programming Languages · CS 430 Database Management Systems Design · CS 440 Operating Systems · CS 480 Advanced Topics in Computer Science · CS 489 Research in Computer Science · other CS courses at the 300 level or higher as approved by advisor
8 hrs
Total Hours Required
20
A 2.0 GPA and a grade of C- or higher is required for all courses in the Computer Science minor.
Data Science is an emerging field that combines computer science and statistics. The minor in Data Science teaches programming skills, programming languages Java, Python and R, data analytics, models, and visualizations.
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 311
Data Structures
4 hrs
MATH 210
Introductory Statistics
4 hrs
MATH 310
Statistical Models
4 hrs
Total Hours Required
20
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 311
Data Structures
4 hrs
Criminal Justice Elective
One of: CJ 266 Criminal Procedure · CJ 340 Forensic Accounting · CJ 387 Criminal Law · CJ 389 Criminal Investigation & Evidence Collection
4 hrs
CS 401
Principles of Cybersecurity
4 hrs
Total Hours Required
20
Graduate & Dual Degree Pathways
Computer Science students have access to a guaranteed admission engineering pathway through Batten University's partnership agreements. Contact your advisor for current eligibility requirements and application deadlines.
Old Dominion University
Batten College of Engineering & Technology
Guaranteed AdmissionPre-Engineering pathway to MS programs in Aerospace, Biomedical, Civil, Computer, Electrical, Environmental, and Mechanical Engineering, plus Modeling & Simulation.
Career Outcomes
Data Science & Analytics
Coursework in data structures, statistics, and Python-based data science supports careers in data analysis, machine learning, and business intelligence.
Cybersecurity
Upper-level cybersecurity coursework and the dedicated minor prepare students for roles in information security, network defense, and ethical hacking.
Graduate Study & Research
The B.S. track's required research experience prepares students for graduate study in computer science, data science, and related technical fields.
Faculty
Computer Science is the study of how to design, build, and reason about software and algorithms — skills that apply everywhere from business and medicine to entertainment and manufacturing. The program covers everything from entry-level programming to advanced topics, supported by dedicated computing labs and resources.
Students choose between a B.A., a broad foundation in computer science fundamentals, and a B.S., which adds a stronger science and mathematics foundation along with a required undergraduate research experience. Both options prepare students well for graduate study. Upper-level electives let students specialize in areas like databases, numerical methods, programming language design, or cybersecurity.
The department also offers minors in Computer Science, Data Science, and Cybersecurity for students in other majors who want a technical credential alongside their primary field of study.
Requirements
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 205
Foundations of Logic and Proof
4 hrs
CS 310
Introduction to Computer Systems
4 hrs
CS 311
Data Structures
4 hrs
300/400-level Electives
Three courses (up to two may be Cybersecurity courses): CS 331 Systems Analysis and Design · CS 350 Numerical Methods · CS 380 Programming Languages · CS 430 Database Management Systems Design · CS 440 Operating Systems · CS 389 Advanced Topics in Computer Science · CS 489 Research in Computer Science · CYB 301 Cybersecurity Essentials and Tools · CYB 320 Cyber Networks and Communication · CYB 389 Advanced Topics in Cybersecurity · CYB 423 Operating Systems Security and Administration · CYB 445 Ethical Hacking and Penetration Testing · other CS/CYB courses at the 300 level or higher as approved by advisor
12 hrs
MATH 171
Calculus I
4 hrs
MATH 210
Introductory Statistics
4 hrs
Total Hours Required
40
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 205
Foundations of Logic and Proof
4 hrs
CS 310
Introduction to Computer Systems
4 hrs
CS 311
Data Structures
4 hrs
300/400-level Electives
Three courses (up to two may be Cybersecurity courses): CS 331 Systems Analysis and Design · CS 350 Numerical Methods · CS 380 Programming Languages · CS 430 Database Management Systems Design · CS 440 Operating Systems · CS 389 Advanced Topics in Computer Science · CS 489 Research in Computer Science · CYB 301 Cybersecurity Essentials and Tools · CYB 320 Cyber Networks and Communication · CYB 389 Advanced Topics in Cybersecurity · CYB 423 Operating Systems Security and Administration · CYB 445 Ethical Hacking and Penetration Testing · other CS/CYB courses at the 300 level or higher as approved by advisor
12 hrs
CS 489
Research in Computer Science (Capstone)
4 hrs
Mathematical Science Courses
MATH 171 Calculus I · MATH 172 Calculus II · MATH 210 Introductory Statistics · MATH 217 Linear Algebra · PHYS 221 University Physics I
4 hrs
Total Hours Required
56
Foundational Course
One of: CS 107 Introduction to Python Programming · CS 110 Introduction to Programming with Visual BASIC · CS 205 Foundations of Logic and Proof
4 hrs
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
300-level+ Electives
Two of: CS 307 Data Science Using Python · CS 310 Introduction to Computer Systems · CS 311 Data Structures · CS 331 Systems Analysis and Design · CS 350 Numerical Methods · CS 380 Programming Languages · CS 430 Database Management Systems Design · CS 440 Operating Systems · CS 480 Advanced Topics in Computer Science · CS 489 Research in Computer Science · other CS courses at the 300 level or higher as approved by advisor
8 hrs
Total Hours Required
20
A 2.0 GPA and a grade of C- or higher is required for all courses in the Computer Science minor.
Data Science is an emerging field that combines computer science and statistics. The minor in Data Science teaches programming skills, programming languages Java, Python and R, data analytics, models, and visualizations.
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 311
Data Structures
4 hrs
MATH 210
Introductory Statistics
4 hrs
MATH 310
Statistical Models
4 hrs
Total Hours Required
20
CS 112
Computer Programming I
4 hrs
CS 212
Computer Programming II
4 hrs
CS 311
Data Structures
4 hrs
Criminal Justice Elective
One of: CJ 266 Criminal Procedure · CJ 340 Forensic Accounting · CJ 387 Criminal Law · CJ 389 Criminal Investigation & Evidence Collection
4 hrs
CS 401
Principles of Cybersecurity
4 hrs
Total Hours Required
20
Graduate & Dual Degree Pathways
Computer Science students have access to a guaranteed admission engineering pathway through Batten University's partnership agreements. Contact your advisor for current eligibility requirements and application deadlines.
Old Dominion University
Batten College of Engineering & Technology
Guaranteed AdmissionPre-Engineering pathway to MS programs in Aerospace, Biomedical, Civil, Computer, Electrical, Environmental, and Mechanical Engineering, plus Modeling & Simulation.
Career Outcomes
Software Development
A strong programming foundation across multiple languages prepares students for software engineering, application development, and full-stack development roles.
Data Science & Analytics
Coursework in data structures, statistics, and Python-based data science supports careers in data analysis, machine learning, and business intelligence.
Cybersecurity
Upper-level cybersecurity coursework and the dedicated minor prepare students for roles in information security, network defense, and ethical hacking.
Graduate Study & Research
The B.S. track's required research experience prepares students for graduate study in computer science, data science, and related technical fields.
Faculty