Computer Science spans the range from theory through programming to cutting-edge development of computing solutions. Computer Science offers a foundation that permits graduates to adapt to new technologies and new ideas. The work of computer scientists falls into three categories:
- designing and building software
- developing effective ways to solve computing problems, such as storing information in databases, sending data over networks, or providing new approaches to security problems
- devising new and better ways of using computers and addressing particular challenges in areas such as robotics, computer vision, or digital forensics
Like most Computer Science programs, the YSU Computer Science major requires significant mathematical background.
The Computer Science 4+1 program leads to the degree of Master of Computing and Information Systems. The flexibility of the program allows the student many choices.
This degree may be earned in ten semesters if students average 16 hours per semester during the first 4 years and 11 hours semester during the last year.
In addition to completing all general University requirements, students wishing to receive the Bachelor of Science in Computer Science - Graduate Track must complete the following:
COURSE | TITLE | S.H. |
---|---|---|
FIRST YEAR REQUIREMENT -STUDENT SUCCESS | ||
YSU 1500 | Success Seminar | 1-2 |
or YSU 1500S | Youngstown State University Success Seminar | |
or HONR 1500 | Intro to Honors | |
General Education Requirements | ||
ENGL 1550 | Writing 1 | 3-4 |
or ENGL 1549 | Writing 1 with Support | |
ENGL 1551 | Writing 2 | 3 |
MATH 1571 | Calculus 1 | 4 |
PHIL 2625 | Introduction to Professional Ethics | 3 |
Arts and Humanities (1 course) | 3 | |
Natural Sciences (2 courses; one course must include a lab) | 6-7 | |
Social Science (2 courses) | 6 | |
General Education Electives (9 s.h.) Any Gen Ed Courses | 9 | |
Major Requirements | ||
CSIS 2610 & 2610L | Programming and Problem-Solving and Programming and Problem-Solving Lab | 4 |
CSIS 3700 & 3700L | Data Structures and Objects and Data Structures and Objects Lab | 4 |
CSIS 3701 | Advanced Object-oriented Programming | 3 |
CSIS 3740 | Computer Organization | 4 |
CSCI 3710 | Introduction to Discrete Structures | 3 |
CSCI 4890 | Computer Projects | 2 |
ENGL 3743 | Introduction to Public, Professional and Technical Writing | 3 |
or INFO 3704 | Business Communication | |
Select at least 12 additional semester hours from CSCI or CSIS upper division level courses, or STEM 4890. This must include at least 9 s.h. from the following courses: | 12 | |
CSIS 3722: Development of Databases | ||
CSIS 3723: Networking Concepts and Administration | ||
CSIS 3755: Information Assurance | ||
CSCI 3770: Survey of Programming Languages | ||
CSCI 5840: Theory of Finite Automata | ||
STEM Internship | ||
Dual credit requirements 9 credit hours from the following list of approved courses | ||
CSCI 5801 | Software Engineering | 3 |
CSCI 5806 | Operating Systems | 3 |
CSCI 5870 | Data Structures and Algorithms | 3 |
Mathematics Minor | ||
MATH 1572 | Calculus 2 | 4 |
MATH 3720 | Linear Algebra and Matrix Theory | 3 |
STAT 3743 | Probability and Statistics | 4 |
Additional MATH course To meet 18 hour minor | 3 | |
Departmental Free Electives Any CSIS/INFO/CSCI/CIS courses | 12 | |
Free Electives Any courses to meet 120 total hours | 12 | |
Total Semester Hours | 120-123 |
Year 1 | ||
---|---|---|
Fall | S.H. | |
YSU 1500 | Success Seminar or Youngstown State University Success Seminar or Intro to Honors | 1-2 |
CSIS 2610 | Programming and Problem-Solving | 3 |
CSIS 2610L | Programming and Problem-Solving Lab | 1 |
MATH 1571 | Calculus 1 | 4 |
ENGL 1550 or ENGL 1549 | Writing 1 or Writing 1 with Support | 3-4 |
Gen Ed Social Science | 3 | |
Semester Hours | 15-17 | |
Spring | ||
CSIS 3700 | Data Structures and Objects | 3 |
CSIS 3700L | Data Structures and Objects Lab | 1 |
MATH 1572 | Calculus 2 (minor) | 4 |
ENGL 1551 | Writing 2 | 3 |
Gen Ed Natural Science + Lab | 3-4 | |
Semester Hours | 14-15 | |
Year 2 | ||
Fall | ||
CSIS 3701 | Advanced Object-oriented Programming | 3 |
CSIS 3740 | Computer Organization | 4 |
PHIL 2625 | Introduction to Professional Ethics (AH) | 3 |
Gen Ed Electives (Any Gen Ed Course) | 3 | |
Gen Ed Arts & Humanities | 3 | |
Semester Hours | 16 | |
Spring | ||
CSCI 3710 | Introduction to Discrete Structures | 3 |
MATH 3720 | Linear Algebra and Matrix Theory | 3 |
ENGL 3743 or INFO 3704 | Introduction to Public, Professional and Technical Writing or Business Communication | 3 |
Gen Ed Social Science | 3 | |
Gen Ed Electives (any Gen Ed Course) | 3 | |
Semester Hours | 15 | |
Year 3 | ||
Fall | ||
CSCI 5801 | Software Engineering | 3 |
CSCI/CSIS Upper Division Elective | 3 | |
STAT 3743 | Probability and Statistics | 4 |
Departmental Free Elective Any CSIS/INFO/CSCI/CIS courses | 3 | |
Free Elective | 3 | |
Semester Hours | 16 | |
Spring | ||
CSCI/CSIS Upper Division Elective | 3 | |
CSCI/CSIS Upper Division Elective | 3 | |
Math Minor Upper Division Elective | 3 | |
Gen Ed Natural Science | 3 | |
Gen Ed Electives (Any Gen Ed Course) | 3 | |
Semester Hours | 15 | |
Year 4 | ||
Fall | ||
CSCI 5870 | Data Structures and Algorithms | 3 |
CSCI 4890 | Computer Projects | 2 |
Departmental Free Elective Any CSIS/INFO/CSCI/CIS courses | 3 | |
Free Elective | 3 | |
Free Elective | 3 | |
Semester Hours | 14 | |
Spring | ||
CSCI 5806 | Operating Systems | 3 |
CSCI/CSIS Upper Division Elective or STEM 4890 | 3 | |
Departmental Free Elective Any CSIS/INFO/CSCI/CIS courses | 3 | |
Departmental Free Elective Any CSIS/INFO/CSCI/CIS courses | 3 | |
Free Elective | 3 | |
Semester Hours | 15 | |
Total Semester Hours | 120-123 |
Highly qualified undergraduate students can apply for admission into the combined "4+1" Bachelors/Masters program for the MC&IS in Computer Science.
Request admission into the program after completing 80-85 s.h. from the MC&IS Graduate Coordinator, Alina Lazar, 308 Meshel Hall, (330) 941-3468.
Learning Outcomes
Computer science students in the BS degree program will:
- be able to analyze, design, implement and test computer programs by using the appropriate data structures and algorithms.
- obtain full-time employment as programmers, systems analysts, computer specialists and in other closely related fields or/and acceptance to graduate programs.
- communicate effectively with written reports and presentations.