Computer Science, B.S. to Computer Science, M.S. Accelerated Program
Saint Louis University's computer science B.S. to computer science M.S. accelerated program allows a student to complete both the Bachelor in Science in Computer Science and the Master of Science in Computer Science in a shorter time period than if both degrees were pursued independently.
For additional information see the catalog entries for the following programs:
Students who want to apply to this accelerated program should have completed all 2000-level coursework required of the computer science bachelor's program and have completed at least 75 credits at the time of application.
At the time of application, students must have a cumulative GPA of at least 3.00 and a GPA of at least 3.00 in their computer science coursework. Contact the graduate coordinator for more details.
Continuation Standards
Students must maintain a cumulative GPA of at least 3.00 and a GPA of at least 3.00 in their computer science coursework.
Students who drop below that GPA while in the accelerated program will be placed on a one-semester probationary period before being dismissed from the accelerated program.
Only grades of "B" or better in the graduate courses taken while an undergraduate can be applied to the master's degree.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
| Year One | ||
|---|---|---|
| Fall | Credits | |
| CSCI 10xx | Introduction to Computer Science | 3 |
| MATH 1510 | Calculus I | 4 |
| ENGL 1900 or ENGL 1940 |
Advanced Strategies of Rhetoric and Research or Advanced Writing |
3 |
| Core | Foreign Language 1010 | 3 |
| THEO 1000 | Theological Foundations | 3 |
| Credits | 16 | |
| Spring | ||
| CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
| MATH 1520 | Calculus II | 4 |
| Core | Foreign Language 1020 | 3 |
| PHIL 2050 | Ethics | 3 |
| Credits | 14 | |
| Year Two | ||
| Fall | ||
| CSCI 2100 | Data Structures | 4 |
| CSCI 2500 | Computer Organization and Systems | 3 |
| MATH 1660 | Discrete Mathematics | 3 |
| Science I with lab | 4 | |
| PHIL 3410 | Computer Ethics | 3 |
| Credits | 17 | |
| Spring | ||
| CSCI 2300 | Object-Oriented Software Design | 3 |
| CSCI 2510 | Principles of Computing Systems | 3 |
| STAT 3850 | Foundation of Statistics | 3 |
| Science II with lab | 4 | |
| Core | Theology 2000+ | 3 |
| Credits | 16 | |
| Year Three | ||
| Fall | ||
| CSCI 3100 | Algorithms | 3 |
| Additional Mathematics/Statistics (2000+) | 3 | |
| HIST 1110 | Origins of the Modern World to 1500 | 3 |
| Science or engineering | 3-4 | |
| Core | Literature | 3 |
| Credits | 15-16 | |
| Spring | ||
| CSCI 3200 | Programming Languages | 3 |
| CSCI 3300 | Software Engineering | 3 |
| 5000-level version of CSCI Systems Elective | 3 | |
| Additional Mathematics/Statistics (2000+) | 3 | |
| HIST 1120 | Origins of the Modern World (1500 to Present) | 3 |
| Credits | 15 | |
| Year Four | ||
| Fall | ||
| CSCI 4961 | Capstone Project I | 2 |
| CSCI 5000+ Breadth Elective | 3 | |
| Core | Fine and Performing Arts | 3 |
| Core | Social Science | 3 |
| Core | Global Citizenship | 3 |
| Credits | 14 | |
| Spring | ||
| CSCI 4962 | Capstone Project II | 2 |
| CSCI 5000+ Breadth Elective | 3 | |
| CSCI 5090 | Computer Science Colloquium | 1 |
| Core | Social Science | 3 |
| Core | Diversity in the U.S. | 3 |
| Free Elective | 3 | |
| Credits | 15 | |
| Year Five | ||
| Fall | ||
| CSCI 5030 | Principles of Software Development | 3 |
| CSCI 51xx | Theory Elective | 3 |
| CSCI 5xxx | General Elective | 3 |
| CSCI 5xxx | General Elective | 3 |
| CSCI 5090 | Computer Science Colloquium | 1 |
| Credits | 13 | |
| Spring | ||
| CSCI 53xx | Software Engineering Elective | 3 |
| CSCI 5xxx | General Elective | 3 |
| CSCI 5xxx | General Elective a | 3 |
| CSCI 5090 | Computer Science Colloquium | 1 |
| Credits | 10 | |
| Total Credits | 145-146 | |
- a
Waiver replacement for CSCI 5050: Computing and Society
Introduction to Computer Science
| Code | Title | Credits |
|---|---|---|
CSCI 1010 | Introduction to Computer Science: Principles | |
CSCI 1020 | Introduction to Computer Science: Bioinformatics | |
CSCI 1030 | Introduction to Computer Science: Game Design | |
CSCI 1040 | Introduction to Computer Science: Mobile Computing | |
CSCI 1050 | Introduction to Computer Science: Multimedia | |
CSCI 1060 | Introduction to Computer Science: Scientific Programming | |
CSCI 1070 | Introduction to Computer Science: Taming Big Data | |
CSCI 1080 | Introduction to Computer Science: World Wide Web | |
CSCI 1090 | Introduction to Computer Science: Special Topics | |
| With permission, a computing-intensive course from another discipline may be substituted. Examples of such courses include: | ||
BME 2000 | Biomedical Engineering Computing | |
CVNG 1500 | Civil Engineering Computing | |
STAT 3850 | Foundation of Statistics | |
Systems Courses
| Code | Title | Credits |
|---|---|---|
CSCI 4500 | Advanced Operating Systems | |
CSCI 4530 | Computer Security | |
CSCI 4550 | Computer Networks | |
CSCI 4610 | Concurrent and Parallel Programming | |
CSCI 4620 | Distributed Computing |
Theory Courses
| Code | Title | Credits |
|---|---|---|
CSCI 3100 | Algorithms | |
CSCI 3200 | Programming Languages |
Graduate Electives
The general requirements must include a course from at least two of the following categories:
- CSCI 5200-5299 (Language/Compilers courses)
- CSCI 5600-5699 (Large Scale Systems courses)
- CSCI 5700-5799 (Knowledge Systems)
- CSCI 5800-5899 or BCB 5200/5250 (Advanced Applications)
Program Notes
Thesis Option
A master's thesis is optional. Students completing a thesis should take six credits of Thesis Research Thesis Research (CSCI 5990) as part of the elective requirements.
Internship with Industry
Students may apply at most three credits of Internship with Industry (CSCI 5910) toward the degree requirements.
Closely Related Disciplines
With approval, students may include up to six credits of elective graduate coursework in closely related disciplines (e.g. mathematics and statistics, bioinformatics and computational biology, electrical and computer engineering).