Computer Science- Bachelor of Science in Computer Science
For information, contact the Department of Computer Science and Software Engineering 262 McVey Data Science Building, 513-529-0340, e-mail cseAdvising@MiamiOH.edu, or visit http://cse.MiamiOH.edu.
This program is accredited by the Computing Accreditation Commission of ABET http://www.abet.org.
If you want to change the world and you like to think analytically and solve problems, and have an aptitude for mathematics, then consider a major in computer science. Innovations such as the internet, mobile and web applications, video games, machine learning, and artificial intelligence all owe their foundations to developments in computer science.
The Bachelor of Arts degree in Computer Science provides students with an understanding of the key principles and practices of computing and includes a focus in a second area through the completion of a minor, a co-major, or a second major outside of Computer Science to create powerful combinations of expertise. In either the BS or BA degree program, you will study programming languages, algorithms, computer architecture, operating systems, and applications of computer science such as networks, security, virtual reality, and the ethical and social implications of computer technology.
The U.S. Bureau of Labor’s job outlook for computer science graduates is excellent, and the number of positions is expected to increase by 25% between 2021 and 2031. This employment growth is due to the demand for increasing efficiency in network technology, computing speeds, software performance, and embedded systems. The median annual earnings for software developers were $120,730 in May 2021. According to the National Association of Colleges and Employers, starting offers for graduates with a bachelor’s degree in computer science average more than $72,000.
Graduates from Department of Computer Science and Software Engineering programs may work as software engineers, consultants, programmers, network systems analysts, computer scientists, systems programmers, network administrators, or database administrators. The minor or second major completed as part of the Bachelor of Arts program can open additional possibilities when you graduate.
Understanding the Bachelor of Arts and Bachelor of Science degree options
When deciding between a BA or a BS degree in Computer Science, begin by thinking about your interests:
- Do you have an interest in another subject area that you would like to pursue alongside majoring in Computer Science? If so, then consider the Bachelor of Arts degree. This degree requires a minor or second major outside of Computer Science and Software Engineering. This allows you to learn about business, the arts, education, science, or some other field of interest to you. It also gives you more flexible science options.
- Would you like to take additional computer science electives, and strengthen your mathematics, statistics, and science knowledge? If so, then the Bachelor of Science degree might be your best bet. It includes 3 additional Computer Science electives (so, 7 electives in all), 3 additional electives in mathematics and/or statistics, and 2 science courses that are designed for science majors.
- What if you are not sure? No problem: the requirements look the same for roughly the first two years. An advisor from our department can help you plan your courses in a way that keeps your options open in case you would like to switch.
Program Educational Objectives
Graduates from the Computer Science program are expected to attain or achieve the following Program Educational Objectives within a few years of graduation:
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Develop in their chosen profession and/or progress toward an advanced degree
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Provide innovative solutions using technical skills in their discipline
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Communicate effectively, demonstrate leadership, and work collaboratively in diverse teams/organizations
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Act responsibly and ethically in their profession and as informed citizens
Student Outcomes
- 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.
- Acquire and apply new knowledge as needed, using appropriate learning strategies.
Departmental Honors
If you excel in your studies, you may qualify for the University Honors Program or the program for Honors in Computer Science and Software Engineering. As a senior in these programs, you will have the opportunity to work closely with the faculty on research projects of interest.
Credit/No-Credit Policy
All courses in chemistry, physics, biology, mathematics, statistics and those in the College of Engineering and Computing (CPB, CSE, ECE, EGM, MME, CEC) that are used to fulfill requirements of the major, must be taken for a grade.
Divisional Policy
MULTIPLE MAJORS: Students with two or more majors in the College of Engineering and Computing must take a minimum of 15 unique, additional credit hours in each major.
Graduate Study
The department offers a combined bachelor's/master's degree program that allows students to complete bachelor's and master's degrees in computer science in an accelerated manner. Students are eligible to apply for this program in their junior year. Please contact the CSE department office for more information.
Additional information is available from the CSE department office and website http://cse.MiamiOH.edu.
Program Requirements: Computer Science
Code | Title | Credit Hours |
---|---|---|
Core Requirements | ||
STC 135 | Principles of Public Speaking | 3 |
or APC 231 | Small Group Communication | |
Mathematics | ||
MTH 151 | Calculus I | 4 |
MTH 231 | Elements of Discrete Mathematics | 3 |
or MTH 331 | Proof: Introduction to Higher Mathematics | |
Statistics | ||
STA 301 | Applied Statistics | 3-4 |
or STA 261 | Statistics | |
or ECE 345 | Introduction to Probability, Statistics, and Random Processes | |
Mathematics/Statistics Electives | 9-10 | |
Take three of the following: | ||
Nonparametric Statistics | ||
Introduction to Statistical Modeling | ||
Statistical Monitoring and Design of Experiments | ||
Probability | ||
Statistical Programming | ||
Advanced Data Visualization | ||
Introduction to Bayesian Statistics | ||
Survey Sampling in Business | ||
Experimental Design Methods | ||
Statistical Learning | ||
Introduction to Linear Algebra | ||
Differential Equations for Engineers | ||
Calculus II | ||
or MTH 249 | Calculus II | |
Calculus III | ||
Differential Equations | ||
Foundations of Geometry | ||
Introduction to Abstract Algebra | ||
Optimization | ||
Game Theory and Related Topics | ||
Theory and Applications of Graphs | ||
Combinatorics | ||
Real Analysis | ||
Topics in Mathematical Finance | ||
Natural Science Electives | 8-10 | |
Select two of the following six options | ||
Biological Concepts: Ecology, Evolution, Genetics, and Diversity | ||
Biological Concepts: Structure, Function, Cellular, and Molecular Biology | ||
College Chemistry and College Chemistry Laboratory | ||
College Chemistry and College Chemistry Laboratory | ||
General Physics I and General Physics Laboratory I | ||
General Physics II and General Physics Laboratory II | ||
Mathematics/Statistics/Science Elective | 3-5 | |
Select one additional course from one of the following | ||
Any of the above Mathematics/Statistics Electives | ||
Any of the above Natural Science Electives | ||
Any Miami Plan Natural Science | ||
Computer Science Core | ||
CEC 111 | Imagination, Ingenuity and Impact I | 2 |
CEC 112 | Imagination, Ingenuity, and Impact II | 2 |
CYB 134 | Introduction to Cybersecurity | 3 |
CSE 174 | Fundamentals of Problem Solving and Programming | 3 |
CSE 201 | Introduction to Software Engineering | 3 |
CSE 271 | Object-Oriented Programming | 3 |
CSE 274 | Data Abstraction and Data Structures | 3 |
CSE 278 | Systems I: Introduction to Systems Programming | 3 |
CSE 374 | Algorithms I | 3 |
CSE 381 | Systems 2: OS, Concurrency, Virtualization, and Security | 3 |
CSE 383 | Web Application Programming | 3 |
CSE 448 | Senior Design Project | 2 |
CSE 449 | Senior Design Project | 2 |
CSE 465 | Comparative Programming Languages | 3 |
CSE Electives (a total of 21 hours are required) | 21 | |
15 to 21 hours of computer science electives: | ||
Introduction to Knowledge Representation | ||
Software Construction | ||
Mobile App Development | ||
Database Systems | ||
Foundations of Computer Graphics and Games | ||
Game Design and Implementation | ||
Software Quality Assurance and Testing | ||
Machine Learning | ||
Deep Learning | ||
Generative Artificial Intelligence | ||
High Performance Computing & Parallel Programming | ||
Web Services and Service Oriented Architectures | ||
Bioinformatics Computing Skills | ||
Computer and Network Security | ||
Special Topics in CSE | ||
Automata, Formal Languages, and Computability | ||
Compiler Design | ||
Algorithms II | ||
Advanced Database Systems | ||
Introduction to Artificial Intelligence | ||
Image Processing & Computer Vision | ||
Advanced Graphics and Game Engine Design | ||
Computer Network Design and Administration | ||
0 to 6 hours of affiliate electives: | ||
Software Requirements | ||
Software Engineering for User Interface and User Experience Design | ||
Technology, Ethics, and Global Society | ||
Special Topics | ||
Optimization Modeling | ||
Mathematics and Computer Science | ||
Software Architecture and Design | ||
Stochastic Modeling | ||
Introduction to Model-Driven Software Engineering | ||
System Administration and Scripting for Cybersecurity | ||
Data Security | ||
Digital Systems Design | ||
Network Performance Analysis | ||
Embedded Systems Design | ||
Emerging Technology Practicum | ||
Business Intelligence and Data Visualization | ||
Managing Big Data | ||
Introduction to Data Mining in Business | ||
Theory and Applications of Graphs | ||
Select 0 to 3 hours of research electives: | ||
Undergraduate Summer Scholars Program (requires petition) | ||
Special Problems (honors Program) | ||
Undergraduate Research | ||
Total Credit Hours | 92-98 |
Note: Additional free elective hours may need to be taken.