Computer Science, B.A. to Computer Science, M.S. Accelerated Program
Saint Louis University's computer science B.A. to computer science M.S. accelerated program allows a student to complete both the Bachelor of Arts in Computer Science and the Master of Science in Computer Science at SLU in less time than it would take to complete both degrees independently.
For additional information, see the catalog entries for the following programs:
Admission Requirements
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.
Program Requirements
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.
Students can take up to 15 credits of graduate coursework that will count for both the B.A. and the M.S. Courses and credits included are below.
| Undergraduate Program Requirement | Met by Graduate Course |
|---|---|
| 3-credit Systems Elective at the 3000-level | Systems Elective at the 5000-level |
| CS Elective at the 3000-level or above | CSCI 5000-level Breadth Elective |
| CS Elective at the 3000-level or above | CSCI 5000-level Breadth Elective |
| 3 credits of University Electives | General Graduate Electives |
| 3 credits of University Electives | CSCI 5030 |
This roadmap is just one example of a semester-by-semester plan of study for this program. There are other plans students can and do take. The plan of study for each particular student is established in consultation with each student’s academic advisor; this roadmap does not replace academic advising appointments.
Roadmap notes:
- This Roadmap assumes full-time enrollment unless otherwise noted.
- Courses/Milestones marked with an “!” are critical and must be completed in the semester listed in the Roadmap to ensure a timely graduation.
- Course availability and sequencing are subject to change.
| Year One | ||
|---|---|---|
| Fall | Credits | |
| CSCI 10xx | Introduction to Computer Science † | 3 |
| MATH 1660 | Discrete Mathematics | 3 |
| University Core and/or General Electives | 9 | |
| Credits | 15 | |
| Spring | ||
| CSCI 1300 | Introduction to Object-Oriented Programming | 4 |
| MATH 1510 | Calculus I | 4 |
| University Core and/or General Electives | 9 | |
| Credits | 17 | |
| Year Two | ||
| Fall | ||
| CSCI 2100 | Data Structures | 4 |
| CSCI 2500 | Computer Organization and Systems | 3 |
| MATH 1520 | Calculus II | 4 |
| University Core and/or General Electives | 6 | |
| Credits | 17 | |
| Spring | ||
| CSCI 2300 | Object-Oriented Software Design | 3 |
| CSCI 2510 | Principles of Computing Systems | 3 |
| Additional Mathematics/Statistics (2000+) | 3 | |
| University Core and/or General Electives | 6 | |
| Credits | 15 | |
| Year Three | ||
| Fall | ||
| CSCI 3100 | Algorithms | 3 |
| University Core and/or General Electives | 12 | |
| Credits | 15 | |
| Spring | ||
| CSCI 55XX | Systems Elective | 3 |
| PHIL 3050X | Computer Ethics | 3 |
| University Core and/or General Electives | 9 | |
| Credits | 15 | |
| Year Four | ||
| Fall | ||
| CSCI 4961 | Capstone Project I | 2 |
| University Core and/or General Electives | 9 | |
| CSCI 5000+ Breadth Elective | 3 | |
| CSCI 5030 | Principles of Software Development | 3 |
| Credits | 17 | |
| Spring | ||
| CSCI 4962 | Capstone Project II | 2 |
| CSCI 5000+ Breadth Elective | 3 | |
| University Core and/or General Electives | 6 | |
| CSCI 5xxx | General Electives | 3 |
| Credits | 14 | |
| Year Five | ||
| Fall | ||
| CSCI 5050 | Computing and Society | 3 |
| CSCI 51xx | Theory Elective | 3 |
| CSCI 5xxx | General Elective | 3 |
| Credits | 9 | |
| Spring | ||
| CSCI 53xx | Software Engineering Elective | 3 |
| CSCI 5xxx | General Electives | 6 |
| Credits | 9 | |
| Total Credits | 143 | |
Introduction to Computer Science
| Code | Title | Credits |
|---|---|---|
CSCI 1010 | Introduction to Computer Science: Principles | |
CSCI 1020 | Introduction to Computer Science: Bioinformatics | |
CSCI 1025 | Introduction to Computer Science: Cybersecurity | |
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 as long as it is not already fulfilling another requirement. Examples of such courses include: | ||
BME 2000 | Biomedical Engineering Computing | |
CVNG 1500 | Civil Engineering Computing | |
STAT 3850 | Foundation of Statistics | |
Systems
| Code | Title | Credits |
|---|---|---|
CSCI 4500 | Operating Systems | |
CSCI 4530 | Computer Security | |
CSCI 4550 | Computer Networks | |
CSCI 4610 | Concurrent and Parallel Programming | |
CSCI 4620 | Distributed Computing |
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
CSCI 5050 Computing and Society (3 cr) requirement will be waived for students who took Computer Ethics as an undergraduate. These hours would become an additional graduate elective.
Thesis Option
A master's thesis is optional. Students completing a thesis should take six credits of CSCI 5990 Thesis Research (0-6 cr) as part of the elective requirements.
Internship with Industry
Students may apply at most three credits of CSCI 5910 Internship with Industry (1-3 cr) 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).
Students on the Saint Louis University-Madrid can complete the first three or four years of their accelerated program in Madrid and then finish their M.S. at SLU-St. Louis.
Depending on the format of their M.S., students will transition before their fourth or fifth year of study. Options are listed below.
Option A: 3+2 Pathway (Thesis)
- Years 1-3: Students complete foundational coursework in Madrid.
- Years 4-5: Final year of B.A. and M.S. coursework/research completed in St. Louis. Students begin capstone research work in St. Louis in year four, which transitions into a formal M.S. thesis project and completion in year five.
Option B: 4+1 Research-Linked Pathway (Thesis)
- Years 1-4: Full B.A. completion in Madrid, including a senior capstone research project initiated under the guidance of Madrid faculty, in collaboration with St. Louis faculty. Students also complete the first 15 credits of M.S.-level coursework (5xxx level; potentially through online courses when available from STL campus).
- Year 5: Students matriculate fully into the M.S. program to continue and complete their research thesis and the remaining 15 credits of M.S. coursework in St. Louis.
Option C: 4+1 Coursework-Based Pathway (Nonthesis)
- Years 1-4: Students complete B.A. in Madrid and the first 15 credits of their MS coursework (5xxx level; potentially through online courses when available from STL campus).
- Year 5: Remaining 15 credits of M.S. coursework is completed in St. Louis.
For more information about computer science programs, please call 314-977-6667 or email cs@slu.edu.