The Bachelor of Science in Computer Science program provides a rigorous curriculum that covers a wide range of computer science topics. With a focus on problem-solving and critical thinking, you'll be equipped to tackle real-world challenges and make an impact in the industry.
Computer Science - B.S.
Contact Us
- Feodor F. Dragan and Augustine Samba | ugradinfo@cs.kent.edu | 330-672-9120
- Speak with an Advisor
- Chat with an Admissions Counselor: ÌìÌì³Ô¹Ï Campus | Regional Campuses
Bachelor's Degree in Computer Science
ÌìÌì³Ô¹Ï's Bachelor of Science in Computer Science program aims to equip students with a deep understanding of essential computing principles, cutting-edge programming methodologies, and emerging technologies. The curriculum balances theoretical knowledge with hands-on experience, ensuring graduates are well-prepared for diverse careers in the technology industry. The program emphasizes problem-solving, innovation, and the development of expertise, enabling students to contribute meaningfully to technological advancements or pursue advanced studies in computer science.
Program Information for Computer Science - B.S.
-
Program Description
Full Description
The Bachelor of Science degree in Computer Science seeks to prepare students for careers as computing professionals, developing, managing and building software in a variety of industries, including finance, health care, entertainment, telecommunications and manufacturing. The U.S. Bureau of Labor Statistics lists the following as top occupation choices for computer science majors: computer network architect; software developer; information security analyst; database administrator; computer systems analyst; computer programmer; and network and computer systems administrator.
The Computer Science major includes the following optional concentrations:
- The Cybersecurity concentration prepares students to meet the security needs of industry and government through coursework that provides a thorough understanding of security, privacy and cryptographic techniques and protocols used in computing and communication.
- The Data Engineering concentration prepares students to perform the data analysis and modeling needed by organizations and to process structured, semi-structured and unstructured data using statistical and semantic analysis techniques to meet their employers’ needs.
- The Game Programming concentration provides students with a solid understanding of the algorithms, techniques and software used to construct interactive virtual environments. Students work in teams with content specialists and artists to develop the teamwork skills required in this multidisciplinary field, which includes a range of opportunities, from the game industry to education to training design.
- The Robotics and Embedded Systems concentration prepares students to work with devices that combine hardware and software. Such devices include robots and most high tech mechanical devices like cars, planes, farm equipment and construction equipment.
Students may declare the program with no concentration and develop a plan of study to meet their educational and career goals.
Computer Science students may apply early to the and double count 9 credit hours of graduate courses toward both degree programs. See the policy in the University Catalog for more information.
-
Admissions
for Computer Science - B.S.
Admission Requirements
The university affirmatively strives to provide educational opportunities and access to students with varied backgrounds, those with special talents and adult students who graduated from high school three or more years ago.
First-Year Students on the ÌìÌì³Ô¹Ï Campus: First-year admission policy on the ÌìÌì³Ô¹Ï Campus is selective. Admission decisions are based upon cumulative grade point average, strength of high school college preparatory curriculum and grade trends. Students not admissible to the ÌìÌì³Ô¹Ï Campus may be administratively referred to one of the seven regional campuses to begin their college coursework. For more information, visit the .
First-Year Students on the Regional Campuses: First-year admission to ÌìÌì³Ô¹Ï State’s campuses at Ashtabula, East Liverpool, Geauga, Salem, Stark, Trumbull and Tuscarawas, as well as the Twinsburg Academic Center, is open to anyone with a high school diploma or its equivalent. For more information on admissions, contact the Regional Campuses admissions offices.
International Students: All international students must provide proof of English language proficiency (unless they meet specific exceptions) by earning a minimum 525 TOEFL score (71 on the Internet-based version), minimum 75 MELAB score, minimum 6.0 IELTS score or minimum 48 PTE Academic score, or by completing the ELS level 112 Intensive Program. For more information, visit the admissions website for international students.
Transfer Students: Students who have attended any other educational institution after graduating from high school must apply as undergraduate transfer students. For more information, visit the admissions website for transfer students.
Former Students: Former ÌìÌì³Ô¹Ï State students or graduates who have not attended another college or university since ÌìÌì³Ô¹Ï State may complete the reenrollment or reinstatement form on the University Registrar’s website.
Admission policies for undergraduate students may be found in the University Catalog's .
Some programs may require that students meet certain requirements before progressing through the program. For programs with progression requirements, the information is shown on the program's Coursework tab.
-
Learning Outcomes
Program Learning Outcomes
Graduates of this program will be able to:
- Analyze a complex computing problem and 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 educational objectives of the program are the following:
- To have successful careers, constructed with sound ethical judgments and professional skills acquired in the program, while designing computing solutions and systems by applying principles of computing in areas such as software, hardware, network, data and algorithmic design.
- To enjoy continued professional growth and advancement in the fast-evolving fields of computer science, built on the academic foundation and professional skills acquired in the program.
- To become a lifelong learner staying abreast of emerging technologies, obtaining new skills and developing proficiencies with new software, networking and computing tools.
- In addition to building a successful career, to also strive to be an impactful and contributing member of the global innovation ecosystem by applying the knowledge and skills of computer science, coupled with a well-rounded liberal education, and to practice ethical, legal and responsible computing, as acquired by the program, toward building a better and more inclusive world.
-
Coursework
On This Page
Program Requirements
Major Requirements
Course List Code Title Credit Hours Major Requirements (courses count in major GPA) CS 13001 COMPUTER SCIENCE I: PROGRAMMING AND PROBLEM SOLVING (min C grade) 1 4 or CS 13011
& CS 13012COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING
and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMINGCS 23001 COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION (min C grade) 4 CS 23022 DISCRETE STRUCTURES FOR COMPUTER SCIENCE 3 CS 32301 HUMAN INTERFACE COMPUTING 3 CS 33007 INTRODUCTION TO DATABASE SYSTEM DESIGN 3 CS 33101 STRUCTURE OF PROGRAMMING LANGUAGES 3 CS 33211 OPERATING SYSTEMS 3 CS 33901 SOFTWARE ENGINEERING 3 CS 35101 COMPUTER ORGANIZATION 3 CS 35201 COMPUTER COMMUNICATION NETWORKS 3 CS 44001 COMPUTER SCIENCE III-PROGRAMMING PATTERNS 4 CS 46101 DESIGN AND ANALYSIS OF ALGORITHMS 3 MATH 12002 ANALYTIC GEOMETRY AND CALCULUS I (KMCR) 5 MATH 12013 BRIEF CALCULUS II 3 MATH 20011 DECISION-MAKING UNDER UNCERTAINTY 3 MATH 21002 APPLIED LINEAR ALGEBRA 3 Additional Requirements (courses do not count in major GPA) UC 10001 FLASHES 101 1 Foreign Language (see Foreign Language College Requirement below) 8 Science Electives, choose from the following (must include one laboratory): 6-7 BSCI 10110BIOLOGICAL DIVERSITY (ELR) (KBS) (KLAB) BSCI 10120BIOLOGICAL FOUNDATIONS (ELR) (KBS) (KLAB) CHEM 10060GENERAL CHEMISTRY I (KBS) CHEM 10061GENERAL CHEMISTRY II (KBS) CHEM 10062GENERAL CHEMISTRY I LABORATORY (KBS) (KLAB) CHEM 10063GENERAL CHEMISTRY II LABORATORY (KBS) (KLAB) CHEM 10970HONORS GENERAL CHEMISTRY I (KBS) CHEM 10971HONORS GENERAL CHEMISTRY II (KBS) ESCI 21062ENVIRONMENTAL EARTH SCIENCE (KBS) GEOG 21062PHYSICAL GEOGRAPHY (KBS) GEOG 21063PHYSICAL GEOGRAPHY LABORATORY (KBS) (KLAB) PHY 13001GENERAL COLLEGE PHYSICS I (KBS) PHY 13002GENERAL COLLEGE PHYSICS II (KBS) PHY 13021GENERAL COLLEGE PHYSICS LABORATORY I (KBS) (KLAB) PHY 13022GENERAL COLLEGE PHYSICS LABORATORY II (KBS) (KLAB) PHY 23101GENERAL UNIVERSITY PHYSICS I (KBS) (KLAB) PHY 23102GENERAL UNIVERSITY PHYSICS II (KBS) (KLAB) 6 9 6 6 General Electives (total credit hours depends on earning 120 credit hours, including 39 upper-division credit hours) 6 Additional Requirements or Concentrations Choose from the following: 19 Minimum Total Credit Hours: 120 - 1
A minimum C grade must be earned in CS 13001 or in both CS 13011 and CS 13012 for graduation.
Additional Requirements for Students Not Declaring a Concentration
Course List Code Title Credit Hours Major Requirements (courses count in major GPA) CS 49999 CAPSTONE PROJECT (ELR) (WIC) 1 4 Computer Science (CS) Upper-Division Electives (30000 or 40000 level) 2 6 Computer Science (CS) Upper-Division Electives (40000 level) 2 9 Minimum Total Credit Hours: 19 - 1
A minimum C grade must be earned to fulfill the writing-intensive requirement.
- 2
Students may apply a maximum 4 credit hours of CS 33192 and a maximum 6 credit hours of CS 49996, CS 49998 or a combination of the two courses to fulfill computer science upper‐division electives.
Cybersecurity Concentration Requirements
Course List Code Title Credit Hours Concentration Requirements (courses count in major GPA) CS 43203 SYSTEMS PROGRAMMING 3 CS 43401 SECURE PROGRAMMING 3 or CS 47206 DATA SECURITY AND PRIVACY or CS 47207 DIGITAL FORENSICS CS 45203 COMPUTER NETWORK SECURITY 3 CS 47205 INFORMATION SECURITY 3 CS 47221 INTRODUCTION TO CRYPTOLOGY 3 CS 49999 CAPSTONE PROJECT (ELR) (WIC) 1 4 Minimum Total Credit Hours: 19 - 1
A minimum C grade must be earned to fulfill the writing-intensive requirement.
Data Engineering Concentration Requirements
Course List Code Title Credit Hours Concentration Requirements (courses count in major GPA) CS 43016 BIG DATA ANALYTICS 3 CS 43105 DATA MINING TECHNIQUES 3 CS 43118 GRAPH AND SOCIAL NETWORK ANALYSIS 3 CS 49999 CAPSTONE PROJECT (ELR) (WIC) 1 4 Computer Science (CS) Upper-Division Elective (30000 or 40000 level) 2 3 Computer Science (CS) Upper-Division Elective (40000 level) 2 3 Minimum Total Credit Hours: 19 - 1
A minimum C grade must be earned to fulfill the writing-intensive requirement.
- 2
Students may apply a maximum 4 credit hours of CS 33192 and a maximum 6 credit hours of CS 49996, CS 49998 or a combination of the two courses to fulfill computer science upper‐division electives.
Game Programming Concentration Requirements
Course List Code Title Credit Hours Concentration Requirements (courses count in major GPA) CS 38101 INTRODUCTION TO GAME PROGRAMMING 3 CS 47101 COMPUTER GRAPHICS 3 CS 48101 GAME ENGINE CONCEPTS 3 CS 48102 GAME DEVELOPMENT PRACTICUM (ELR) (WIC) 1 4 Computer Science (CS) Upper-Division Electives (40000 level) 2 6 Minimum Total Credit Hours: 19 - 1
A minimum C grade must be earned to fulfill the writing-intensive requirement.
- 2
Students may apply a maximum 6 credit hours of CS 49996, CS 49998 or a combination of the two courses to fulfill computer science upper‐division electives.
Robotic and Embedded Systems Concentration Requirements
Course List Code Title Credit Hours Concentration Requirements (courses count in major GPA) CS 33301 EMBEDDED SYSTEM PROGRAMMING 3 CS 33302 INTRODUCTION TO INTELLIGENT ROBOTICS 3 CS 43302 ALGORITHMIC ROBOTICS 3 or CS 43303 INTERNET OF THINGS or CS 43334 HUMAN-ROBOT INTERACTION CS 49999 CAPSTONE PROJECT (ELR) (WIC) 1 4 Concentration Electives, choose from the following: 6 CS 43203SYSTEMS PROGRAMMING CS 43301SOFTWARE DEVELOPMENT FOR ROBOTICS CS 43302ALGORITHMIC ROBOTICS CS 43303INTERNET OF THINGS CS 43334HUMAN-ROBOT INTERACTION CS 44201ARTIFICIAL INTELLIGENCE CS 45102CENTRAL PROCESSING UNIT (CPU) ARCHITECTURES CS 45203COMPUTER NETWORK SECURITY CS 45231INTERNET ENGINEERING Minimum Total Credit Hours: 19 - 1
A minimum C grade must be earned to fulfill the writing-intensive requirement.
Graduation Requirements
Graduation Requirements Summary Minimum Major GPA Minimum Overall GPA 2.000 2.000 - A minimum grade may be required in some courses
Foreign Language College Requirement, B.S.
- Students pursuing the Bachelor of Science degree in the College of Arts and Sciences must complete 8 credit hours of foreign language.1
- The following programs are exempt from this requirement: The Bachelor of Science in Cybercriminology and the Bachelor of Science in Medical Laboratory Science.2
- Minimum Elementary I and II of the same language
- 1
All students with prior foreign language experience should take the foreign language placement test to determine the appropriate level at which to start. Some students may start beyond the Elementary I level and will complete the requirement with fewer credit hours and courses. This may be accomplished by (1) passing a course beyond Elementary I through Intermediate II level; (2) receiving credit through one of the programs offered by ÌìÌì³Ô¹Ï; or (3) demonstrating comparable to Elementary II of a foreign language. When students complete the requirement with fewer than 8 credit hours and two courses, they will complete remaining credit hours with general electives.
- 2
- The Bachelor of Science in Medical Laboratory Science exemption exists under another college policy (Three-Plus-One Programs). The Bachelor of Science in Cybercriminology exemption is due to its extensive collaboration with and contribution from the Information Technology program in the College of Applied and Technical Studies, which does not have a foreign language requirement.
-
Roadmap
On This Page
Roadmaps
Computer Science Major (No Concentration)
This roadmap is a recommended semester-by-semester plan of study for this major. However, courses designated as critical (!) must be completed in the semester listed to ensure a timely graduation.
Plan of Study Grid Semester One Credits ! CS 13001 or CS 13011 and CS 13012COMPUTER SCIENCE I: PROGRAMMING AND PROBLEM SOLVING or COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMING4 MATH 12002 ANALYTIC GEOMETRY AND CALCULUS I (KMCR) 5 UC 10001 FLASHES 101 1 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 3 Credit Hours 16 Semester Two ! CS 23001 COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION 4 ! CS 23022 DISCRETE STRUCTURES FOR COMPUTER SCIENCE 3 MATH 12013 BRIEF CALCULUS II 3 MATH 20011 DECISION-MAKING UNDER UNCERTAINTY 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 16 Semester Three ! CS 33211 OPERATING SYSTEMS 3 ! CS 35101 COMPUTER ORGANIZATION 3 MATH 21002 APPLIED LINEAR ALGEBRA 3 Foreign Language 4 Credit Hours 13 Semester Four CS 33007 INTRODUCTION TO DATABASE SYSTEM DESIGN 3 CS 35201 COMPUTER COMMUNICATION NETWORKS 3 ! CS 44001 COMPUTER SCIENCE III-PROGRAMMING PATTERNS 4 Foreign Language 4 Credit Hours 14 Semester Five CS 32301 HUMAN INTERFACE COMPUTING 3 ! CS 33901 SOFTWARE ENGINEERING 3 ! CS 46101 DESIGN AND ANALYSIS OF ALGORITHMS 3 Science Elective 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Six ! CS 33101 STRUCTURE OF PROGRAMMING LANGUAGES 3 Computer Science (CS) Upper-Division Elective (30000 or 40000 level) 3 Science Elective 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Seven CS 49999 CAPSTONE PROJECT (ELR) (WIC) 4 Computer Science (CS) Upper-Division Elective (30000 or 40000 level) 3 Computer Science (CS) Upper-Division Elective (40000 level) 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 16 Semester Eight Computer Science (CS) Upper-Division Electives (40000 level) 6 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 3 Credit Hours 15 Minimum Total Credit Hours: 120 Cybersecurity Concentration
This roadmap is a recommended semester-by-semester plan of study for this major. However, courses designated as critical (!) must be completed in the semester listed to ensure a timely graduation.
Plan of Study Grid Semester One Credits ! CS 13001 or CS 13011 and CS 13012COMPUTER SCIENCE I: PROGRAMMING AND PROBLEM SOLVING or COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMING4 MATH 12002 ANALYTIC GEOMETRY AND CALCULUS I (KMCR) 5 UC 10001 FLASHES 101 1 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 15 Semester Two ! CS 23001 COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION 4 ! CS 23022 DISCRETE STRUCTURES FOR COMPUTER SCIENCE 3 MATH 12013 BRIEF CALCULUS II 3 MATH 20011 DECISION-MAKING UNDER UNCERTAINTY 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 16 Semester Three ! CS 33211 OPERATING SYSTEMS 3 ! CS 35101 COMPUTER ORGANIZATION 3 CS 47221 INTRODUCTION TO CRYPTOLOGY 3 MATH 21002 APPLIED LINEAR ALGEBRA 3 Foreign Language 4 Credit Hours 16 Semester Four ! CS 33007 INTRODUCTION TO DATABASE SYSTEM DESIGN 3 ! CS 35201 COMPUTER COMMUNICATION NETWORKS 3 CS 43203 SYSTEMS PROGRAMMING 3 ! CS 44001 COMPUTER SCIENCE III-PROGRAMMING PATTERNS 4 Foreign Language 4 Credit Hours 17 Semester Five ! CS 33901 SOFTWARE ENGINEERING 3 ! CS 46101 DESIGN AND ANALYSIS OF ALGORITHMS 3 ! CS 47205 INFORMATION SECURITY 3 Science Elective 3 General Elective 2 Credit Hours 14 Semester Six CS 32301 HUMAN INTERFACE COMPUTING 3 ! CS 33101 STRUCTURE OF PROGRAMMING LANGUAGES 3 CS 43401 or CS 47206
or CS 47207SECURE PROGRAMMING or DATA SECURITY AND PRIVACY
or DIGITAL FORENSICS3 CS 45203 COMPUTER NETWORK SECURITY 3 Science Elective 3 Credit Hours 15 Semester Seven CS 49999 CAPSTONE PROJECT (ELR) (WIC) 4 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 13 Semester Eight ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 14 Minimum Total Credit Hours: 120 Data Engineering Concentration
This roadmap is a recommended semester-by-semester plan of study for this major. However, courses designated as critical (!) must be completed in the semester listed to ensure a timely graduation.
Plan of Study Grid Semester One Credits ! CS 13001 or CS 13011 and CS 13012COMPUTER SCIENCE I: PROGRAMMING AND PROBLEM SOLVING or COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMING4 MATH 12002 ANALYTIC GEOMETRY AND CALCULUS I (KMCR) 5 UC 10001 FLASHES 101 1 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 15 Semester Two ! CS 23001 COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION 4 ! CS 23022 DISCRETE STRUCTURES FOR COMPUTER SCIENCE 3 MATH 12013 BRIEF CALCULUS II 3 MATH 20011 DECISION-MAKING UNDER UNCERTAINTY 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 16 Semester Three ! CS 33211 OPERATING SYSTEMS 3 ! CS 35101 COMPUTER ORGANIZATION 3 MATH 21002 APPLIED LINEAR ALGEBRA 3 Foreign Language 4 Credit Hours 13 Semester Four ! CS 33007 INTRODUCTION TO DATABASE SYSTEM DESIGN 3 ! CS 35201 COMPUTER COMMUNICATION NETWORKS 3 ! CS 44001 COMPUTER SCIENCE III-PROGRAMMING PATTERNS 4 Science Elective 3 Foreign Language 4 Credit Hours 17 Semester Five ! CS 33901 SOFTWARE ENGINEERING 3 CS 43105 DATA MINING TECHNIQUES 3 ! CS 46101 DESIGN AND ANALYSIS OF ALGORITHMS 3 Science Elective 3 General Elective 2 Credit Hours 14 Semester Six CS 32301 HUMAN INTERFACE COMPUTING 3 ! CS 33101 STRUCTURE OF PROGRAMMING LANGUAGES 3 CS 43016 BIG DATA ANALYTICS 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Seven CS 43118 GRAPH AND SOCIAL NETWORK ANALYSIS 3 Computer Science (CS) Upper-Division Elective (30000 or 40000 level) 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Eight CS 49999 CAPSTONE PROJECT (ELR) (WIC) 4 Computer Science (CS) Upper-Division Elective (40000 level) 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 15 Minimum Total Credit Hours: 120 Game Programming Concentration
This roadmap is a recommended semester-by-semester plan of study for this major. However, courses designated as critical (!) must be completed in the semester listed to ensure a timely graduation.
Plan of Study Grid Semester One Credits ! CS 13001 or CS 13011 and CS 13012COMPUTER SCIENCE I: PROGRAMMING AND PROBLEM SOLVING or COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMING4 MATH 12002 ANALYTIC GEOMETRY AND CALCULUS I (KMCR) 5 UC 10001 FLASHES 101 1 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 15 Semester Two ! CS 23001 COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION 4 ! CS 23022 DISCRETE STRUCTURES FOR COMPUTER SCIENCE 3 MATH 12013 BRIEF CALCULUS II 3 MATH 20011 DECISION-MAKING UNDER UNCERTAINTY 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 16 Semester Three ! CS 33211 OPERATING SYSTEMS 3 ! CS 35101 COMPUTER ORGANIZATION 3 MATH 21002 APPLIED LINEAR ALGEBRA 3 Foreign Language 4 Credit Hours 13 Semester Four ! CS 33007 INTRODUCTION TO DATABASE SYSTEM DESIGN 3 ! CS 35201 COMPUTER COMMUNICATION NETWORKS 3 ! CS 44001 COMPUTER SCIENCE III-PROGRAMMING PATTERNS 4 Computer Science (CS) Upper-Division Elective (40000 level) 3 Foreign Language 4 Credit Hours 17 Semester Five ! CS 33901 SOFTWARE ENGINEERING 3 ! CS 38101 INTRODUCTION TO GAME PROGRAMMING 3 ! CS 46101 DESIGN AND ANALYSIS OF ALGORITHMS 3 Science Elective 3 General Elective 2 Credit Hours 14 Semester Six CS 32301 HUMAN INTERFACE COMPUTING 3 ! CS 33101 STRUCTURE OF PROGRAMMING LANGUAGES 3 ! CS 48101 GAME ENGINE CONCEPTS 3 Science Elective 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Seven ! CS 47101 COMPUTER GRAPHICS 3 Computer Science (CS) Upper-Division Elective (40000 level) 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Eight CS 48102 GAME DEVELOPMENT PRACTICUM (ELR) (WIC) 4 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 15 Minimum Total Credit Hours: 120 Robotics and Embedded Systems Concentration
This roadmap is a recommended semester-by-semester plan of study for this major. However, courses designated as critical (!) must be completed in the semester listed to ensure a timely graduation.
Plan of Study Grid Semester One Credits ! CS 13001 or CS 13011 and CS 13012COMPUTER SCIENCE I: PROGRAMMING AND PROBLEM SOLVING or COMPUTER SCIENCE IA: PROCEDURAL PROGRAMMING and COMPUTER SCIENCE IB: OBJECT ORIENTED PROGRAMMING4 MATH 12002 ANALYTIC GEOMETRY AND CALCULUS I (KMCR) 5 UC 10001 FLASHES 101 1 ÌìÌì³Ô¹Ï Core Requirement 3 General Elective 2 Credit Hours 15 Semester Two ! CS 23001 COMPUTER SCIENCE II: DATA STRUCTURES AND ABSTRACTION 4 ! CS 23022 DISCRETE STRUCTURES FOR COMPUTER SCIENCE 3 MATH 12013 BRIEF CALCULUS II 3 MATH 20011 DECISION-MAKING UNDER UNCERTAINTY 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 16 Semester Three ! CS 33211 OPERATING SYSTEMS 3 CS 33301 EMBEDDED SYSTEM PROGRAMMING 3 ! CS 35101 COMPUTER ORGANIZATION 3 MATH 21002 APPLIED LINEAR ALGEBRA 3 Foreign Language 4 Credit Hours 16 Semester Four ! CS 33007 INTRODUCTION TO DATABASE SYSTEM DESIGN 3 ! CS 35201 COMPUTER COMMUNICATION NETWORKS 3 ! CS 44001 COMPUTER SCIENCE III-PROGRAMMING PATTERNS 4 Foreign Language 4 Credit Hours 14 Semester Five ! CS 33901 SOFTWARE ENGINEERING 3 ! CS 46101 DESIGN AND ANALYSIS OF ALGORITHMS 3 Concentration Elective 3 Science Elective 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Six CS 32301 HUMAN INTERFACE COMPUTING 3 ! CS 33101 STRUCTURE OF PROGRAMMING LANGUAGES 3 CS 33302 INTRODUCTION TO INTELLIGENT ROBOTICS 3 Science Elective 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Seven CS 43302 or CS 43303
or CS 43334ALGORITHMIC ROBOTICS or INTERNET OF THINGS
or HUMAN-ROBOT INTERACTION3 Concentration Elective 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 Credit Hours 15 Semester Eight CS 49999 CAPSTONE PROJECT (ELR) (WIC) 4 ÌìÌì³Ô¹Ï Core Requirement 3 ÌìÌì³Ô¹Ï Core Requirement 3 General Electives 4 Credit Hours 14 Minimum Total Credit Hours: 120 -
Program Delivery
- Delivery:
- In person
- Location:
- ÌìÌì³Ô¹Ï Campus (major and all concentrations)
- Stark Campus (no concentration and Cybersecurity optional concentration)
- Delivery:
-
Accreditation
for Computer Science - B.S.
The Bachelor of Science degree in Computer Science is accredited by the Computing Accreditation Commission of ABET, https://www.abet.org.
-
Downloadable Program Overview (pdf)
To access a downloadable pdf of the program overview, see the top right section of the . Click the download button.
-
Downloadable Degree Diagrams (pptx | pdf)
DocumentDocumentDocument
Program Concentrations
The Bachelor of Science program also includes four optional concentrations, which essentially replace the CS electives with specified courses.
- The Data Engineering concentration prepares students to perform the data analysis and modeling needed by organizations and to process structured, semi-structured, and unstructured data using statistical and semantic analysis techniques to meet their employers’ needs.
- The Game Programming concentration provides students with a solid understanding of the algorithms, techniques and software used to construct interactive virtual environments. Students work in teams with content specialists and artists to develop the teamwork skills required in this multidisciplinary field, which includes a range of opportunities, from the game industry to education to training design.
- The Cybersecurity concentration prepares students to meet the security needs of industry and government through coursework that provides a thorough understanding of security, privacy and cryptographic techniques and protocols used in computing and communication.
- The Robotics and Embedded Systems concentration prepares students to work with devices that combine hardware and software. Such devices include robots and most high tech mechanical devices like cars, planes, farm equipment and construction equipment.
Enrollment & Graduation Data
All Campus Enrollment
Year | SPRING | FALL |
---|---|---|
2016 | 488 | 602 |
2017 | 518 | 659 |
2018 | 540 | 654 |
2019 | 557 | 636 |
2020 | 555 | 601 |
2021 | 516 | 593 |
2022 | 446 | 509 |
2023 | 445 | 583 |
2024 | 520 | 604 |
All Campus Graduation
Year | Spring | Summer | Fall |
---|---|---|---|
2016 | 30 | 4 | 24 |
2017 | 31 | 6 | 33 |
2018 | 45 | 7 | 33 |
2019 | 60 | 8 | 23 |
2020 | 42 | 5 | 23 |
2021 | 49 | 6 | 39 |
2022 | 31 | 6 | 33 |
2023 | 47 | 5 | 28 |
Stark Campus Enrollment
Year | Enrollment |
---|---|
2017-2018 | 68 |
2018-2019 | 77 |
2019-2020 | 71 |
2020-2021 | 64 |
2021-2022 | 56 |
2022-2023 | 54 |
2023-2024 | 57 |
Stark Campus Graduation
Year | Graduation |
---|---|
2017-2018 | 0 |
2018-2019 | 0 |
2019-2020 | 4 |
2020-2021 | 6 |
2021-2022 | 6 |
2022-2023 | 0 |
Accolades & Accreditation
The Bachelor of Science degree in Computer Science is accredited by the .