Computer Science, Bachelor of Science
College: College of Science and Health
Department: Mathematical and Computational Sciences
Student Type: Traditional Undergraduate
Degree: Bachelor of Science
Campus: Both Lisle Campus and Mesa Campus
Progression in the Computer Science Program
To progress in the Computer Science program students must complete the introductory sequence of CMSC 2200 Computer Programming and CMSC 2205 Data Structures and Algorithms I with a GPA of 2.500 or above and a grade of “C” or better in each of these courses. A transfer student must meet these requirements through equivalent transfer courses. Additionally, a transfer student must earn a GPA of 2.500 or above in all major classes (excluding labs) during the first semester at Benedictine in order to progress in the Computer Science program.
If it is determined at any time that a student cannot progress in the Computer Science program or cannot graduate with a Computer Science degree, the student will be required to change his or her major and seek academic advising outside of that program.
Requirements - Major
The Computer Science major must complete a minimum of 45 semester credit hours of computer science courses numbered 2000 or above, including 30 semester credit hours at the 3000 level or above. Required courses are:
| Code | Title | Hours |
|---|---|---|
| NTSC 1101 | College of Science and Health Experience | 1 |
| CMSC 2200 | Computer Programming | 3 |
| CMSC 2205 | Data Structures and Algorithms I | 3 |
| CMSC 2220 | Computer Architecture | 3 |
| CMSC 2264 | Introduction to Web Application Development | 3 |
| CMSC 2365 | Introduction to Computer Networks | 3 |
| CMSC 3270 | Data Structures and Algorithms II | 3 |
| CMSC 3274 | Object-Oriented Design and Programming | 3 |
| CMSC 3301 | Technical Communications | 3 |
| CMSC 3330 | Database Management Systems | 3 |
| CMSC 4310 | Operating Systems | 3 |
| CMSC 4375 | Software Engineering | 3 |
| CMSC 4398 | Capstone Project | 3 |
| Select three of the following: | 9 | |
| Data Mining | ||
| Mobile Commerce | ||
| Computer Networks and Data Communication | ||
| Algorithm Design and Analysis | ||
| Big Data | ||
| Advanced Web Application Development | ||
| Artificial Intelligence | ||
| Machine Learning | ||
| Enterprise Architecture | ||
| Theory of Programming Languages | ||
| Selected Topics | ||
| MATH 1150 | Introduction to Statistics | 3 |
| MATH 1115 | Business Calculus | 3 |
| or MATH 2210 | Calculus I | |
| MATH 2240 | Discrete Mathematics | 4 |
| Select one of the following Ethics courses: | 3 | |
| General Ethics | ||
| Biomedical Ethics | ||
| Business Ethics | ||
| Environmental Ethics | ||
| Total Hours | 59 | |
- CMSC 3396 ACCA Seminar, CMSC 3397 Undergraduate Project, and CMSC 3399 Internship do not count toward major credit.
- Grades of “C” or better are required to apply computer science or computational courses toward the degree.
- A student cannot major in both Computer Science and Computer Information Systems.
Students in the Computer Science or Computer Information Systems program will achieve the following student learning outcomes (SLO):
Student Learning Outcome 1: Demonstrate a comprehensive understanding of the Java programming language.
• University SLO: 1. Disciplinary Competence and Skills; 5. Analytical Skills
Student Learning Outcome 2: Demonstrate a thorough understanding of unit testing.
• University SLO: 1. Disciplinary Competence and Skills; 5. Analytical Skills
Student Learning Outcome 3: Demonstrate a strong understanding of algorithms.
• University SLO: 1. Disciplinary Competence and Skills; 2. Critical and Creative Thinking Skills; 5. Analytical Skills
Student Learning Outcome 4: Develop oral and written communication skills.
• University SLO: 3. Communication Skills
Student Learning Outcome 5: Obtain practical experience with version control.
• University SLO: 1. Disciplinary Competence and Skills