This program allows a student to complete, in an accelerated fashion, both the Bachelor in Arts in Computer Science and the Master of Science in Computer Science at Saint Louis University.
For additional information see the catalog entries for the following programs:
Computer Science, B.A.
Computer Science, M.S.
Students who wish 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.
To apply, students must submit a personal statement and arrange for two letters of recommendation from computer science faculty members.
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.
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.
Plan of Study Grid
| Year One |
|---|
| Fall |
|---|
| † |
3 |
| MATH 1660 |
Discrete Mathematics |
3 |
| |
3-4 |
ENGL 1900
|
Advanced Strategies of Rhetoric and Research
or Advanced Writing |
3 |
| THEO 1000 |
Theological Foundations |
3 |
| | Credits | 15-16 |
| Spring |
|---|
| Critical course: CSCI 1300 |
Introduction to Object-Oriented Programming |
4 |
| Critical course: MATH 1510 |
Calculus I |
4 |
| |
3-4 |
| |
3 |
| | Credits | 14-15 |
| Year Two |
|---|
| Fall |
|---|
| Critical course: CSCI 2100 |
Data Structures |
4 |
| Critical course: MATH 1520 |
Calculus II |
4 |
| |
3 |
| |
3 |
| HIST 1110 |
Origins of the Modern World to 1500 |
3 |
| | Credits | 17 |
| Spring |
|---|
| Critical course: CSCI 2300 |
Object-Oriented Software Design |
3 |
| Critical course: CSCI 2400 |
Computer Architecture |
3 |
| |
3 |
| PHIL 1050 |
Introduction to Philosophy: Self and Reality |
3 |
| HIST 1120 |
Origins of the Modern World (1500 to Present) |
3 |
| | Credits | 15 |
| Year Three |
|---|
| Fall |
|---|
| Critical course: CSCI 3500 |
Operating Systems |
3 |
|
3 |
| PHIL 2050 |
Ethics |
3 |
| |
3 |
| |
3 |
| | Credits | 15 |
| Spring |
|---|
|
3 |
|
3 |
| PHIL 3410 |
Computer Ethics |
3 |
| |
3 |
| |
3 |
| | Credits | 15 |
| Year Four |
|---|
| Fall |
|---|
| CSCI 4961 |
Capstone Project I |
2 |
| CSCI 5090 |
Computer Science Colloquium |
1 |
| |
3 |
| |
3 |
| |
3 |
|
3 |
| | Credits | 15 |
| Spring |
|---|
| Critical course: CSCI 4962 |
Capstone Project II |
2 |
| |
3 |
| |
3 |
| |
3 |
|
3 |
| | Credits | 14 |
| Year Five |
|---|
| Fall |
|---|
| CSCI 5030 |
Principles of Software Development |
3 |
| CSCI 5050 |
Computing and Society |
3 |
| CSCI 5090 |
Computer Science Colloquium |
1 |
| |
3 |
| |
3 |
| | Credits | 13 |
| Spring |
|---|
| CSCI 5090 |
Computer Science Colloquium |
1 |
| |
3 |
|
3 |
|
3 |
|
3 |
| | Credits | 13 |
| | Total Credits | 146-148 |
Introduction to Computer Science
Course List | Code | Title | Credits |
| Introduction to Computer Science: Principles | |
| Introduction to Computer Science: Bioinformatics | |
| Introduction to Computer Science: Game Design | |
| Introduction to Computer Science: Mobile Computing | |
| Introduction to Computer Science: Multimedia | |
| Introduction to Computer Science: Scientific Programming | |
| Introduction to Computer Science: Taming Big Data | |
| Introduction to Computer Science: World Wide Web | |
| Introduction to Computer Science: Special Topics | |
| |
| Biomedical Engineering Computing | |
| Civil Engineering Computing | |
| Foundation of Statistics | |
Applied Systems
Course List | Code | Title | Credits |
| Computer Networks | |
| Databases | |
| Computer Security | |
| High-Performance Computing | |
Theory Courses
Course List | Code | Title | Credits |
| Algorithms | |
| 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).
