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 of Science in Computer Science and the Master of Science in Computer Science in a shorter time period than if both degrees were pursued independently at SLU.

For additional information, see the catalog entries for the following programs:

Computer Science, B.S.

Computer Science, M.S.

Admission Requirements

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. 

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.S. and 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
6 credits CS Elective at the 3000-level or above CSCI 5000-level Breadth Electives
6 credits of University Electives General Graduate Electives

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.
Plan of Study Grid
Year One
FallCredits
CSCI 10xxIntroduction to Computer Science 3
MATH 1510 Calculus I 4
University Core and/or General Electives 9
 Credits16
Spring
CSCI 1300 Introduction to Object-Oriented Programming 4
MATH 1520 Calculus II 4
University Core and/or General Electives 6
 Credits14
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 3050X Computer Ethics 3
 Credits17
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
University Core and/or General Electives 3
 Credits16
Year Three
Fall
CSCI 3100 Algorithms 3
Additional Mathematics/Statistics (2000+) 3
Science or engineering 3-4
University Core and/or General Electives 6
 Credits15-16
Spring
CSCI 3200 Programming Languages 3
CSCI 3300 Software Engineering 3
5000-level version of CSCI Systems Elective 3
Additional Mathematics/Statistics (2000+) 3
University Core and/or General Electives 3
 Credits15
Year Four
Fall
CSCI 4961 Capstone Project I 2
CSCI 5000+ Breadth Elective 3
University Core and/or General Electives 6
CSCI Graduate Elective 3
 Credits14
Spring
CSCI 4962 Capstone Project II 2
CSCI 5000+ Breadth Elective 3
University Core and/or General Electives 6
CSCI Graduate elective 3
 Credits14
Year Five
Fall
Critical course:  CSCI 5030 Principles of Software Development 3
CSCI 51xxTheory Elective 3
CSCI 5xxxGeneral Elective 3
 Credits9
Spring
CSCI 53xxSoftware Engineering Elective 3
CSCI 5xxxGeneral Elective 3
 Credits6
 Total Credits136-137
a

Waiver replacement for CSCI 5050: Computing and Society

Introduction to Computer Science

Introduction to Computer Science: Principles
Introduction to Computer Science: Bioinformatics
Introduction to Computer Science: Cybersecurity
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
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:
Biomedical Engineering Computing
Civil Engineering Computing
Foundation of Statistics

Systems Courses

Operating Systems
Computer Security
Computer Networks
Concurrent and Parallel Programming
Distributed Computing

Theory Courses

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

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 campus 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.S. 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.S. completion in Madrid, including a senior capstone research project initiated under the guidance of SLU-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.S. in Madrid and the first 15 credits of their M.S. 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