Data Science, B.S. to Software Engineering, M.S. Accelerated Program
Saint Louis University's data science B.S. to software engineering M.S. accelerated program allows a SLU student to complete both the Bachelor of Science in Data Science and the Master of Science in Artificial Intelligence in a shorter time period than if both degrees were pursued independently.
For additional information, see the catalog entries for the following SLU programs:
Students who want to apply to this accelerated program should have completed all 2000-level coursework required of the data 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.
Non-Course Requirements
All Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program.听
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.听
Students who drop below听that GPA while in the accelerated program will be placed on a one-semester probationary period before being听dismissed from the accelerated program.听
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听unless otherwise noted. 听
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 | |
| Critical course: 听CSCI 10xx | Introduction to Computer Science 鈥� | 3 |
| MATH听1660 | Discrete Mathematics | 3 |
| University Core and/or General Electives | 9 | |
| 听 | Credits | 15 |
| Spring | ||
| CSCI听1300 | Introduction to Object-Oriented Programming | 4 |
| MATH听1510 | Calculus I | 4 |
| University Core and/or General Electives | 6 | |
| 听 | Credits | 14 |
| Year Two | ||
| Fall | ||
| CSCI听2100 | Data Structures | 4 |
| MATH听1520 | Calculus II | 4 |
| University Core and/or General Electives | 9 | |
| 听 | Credits | 17 |
| Spring | ||
| CSCI听2300 | Object-Oriented Software Design | 3 |
| CSCI听2500 | Computer Organization and Systems | 3 |
| University Core and/or General Electives | 9 | |
| 听 | Credits | 15 |
| Year Three | ||
| Fall | ||
| CSCI听2510 | Principles of Computing Systems | 3 |
| Additional Mathematics (2000+) | 3 | |
| University Core and/or General Electives | 9 | |
| 听 | Credits | 15 |
| Spring | ||
| Critical course: 听Application Course | 3 | |
| Critical course: 听Theory Course | 3 | |
| PHIL听3050X | Computer Ethics | 3 |
| University Core and/or General Electives | 6 | |
| 听 | Credits | 15 |
| Year Four | ||
| Fall | ||
| CSCI听4961 | Capstone Project I | 2 |
| CSCI听5090 | Computer Science Colloquium | 1 |
| CSCI 51## | CSCI Elective | 3 |
| University Core and/or General Electives | 9 | |
| 听 | Credits | 15 |
| Spring | ||
| CSCI听4962 | Capstone Project II | 2 |
| CSCI 51xx | CSCI Elective | 3 |
| University Core and/or General Electives | 9 | |
| 听 | Credits | 14 |
| Year Five | ||
| Fall | ||
| CSCI听5030 | Principles of Software Development | 3 |
| CSCI听5050 | Computing and Society | 3 |
| CSCI听5090 | Computer Science Colloquium | 1 |
| Theory Elective | Theory courses numbered CSCI5100-5199 | 3 |
| Software Engineering Elective | Software Engineering courses numbered CSCI5300-5399 | 3 |
| 听 | Credits | 13 |
| Spring | ||
| CSCI听5090 | Computer Science Colloquium | 1 |
| CSCI Systems Elective | Systems courses numbered CSCI5500-5599 | 3 |
| Graduate Elective | 3 | |
| Graduate Elective | 3 | |
| Graduate Elective | 3 | |
| 听 | Credits | 13 |
| 听 | Total Credits | 146 |
Introduction to Computer Science
| Code | Title | Credits |
|---|---|---|
CSCI听1010 | Introduction to Computer Science: Principles | |
CSCI听1020 | Introduction to Computer Science: Bioinformatics | |
CSCI听1025 | Introduction to Computer Science: Cybersecurity | |
CSCI听1030 | Introduction to Computer Science: Game Design | |
CSCI听1040 | Introduction to Computer Science: Mobile Computing | |
CSCI听1050 | Introduction to Computer Science: Multimedia | |
CSCI听1060 | Introduction to Computer Science: Scientific Programming | |
CSCI听1070 | Introduction to Computer Science: Taming Big Data | |
CSCI听1080 | Introduction to Computer Science: World Wide Web | |
CSCI听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听2000 | Biomedical Engineering Computing | |
CVNG听1500 | Civil Engineering Computing | |
STAT听3850 | Foundation of Statistics | |
Applied Systems听
| Code | Title | Credits |
|---|---|---|
CSCI听4500 | Advanced Operating Systems | |
CSCI听4530 | Computer Security | |
CSCI听4550 | Computer Networks | |
CSCI听4610 | Concurrent and Parallel Programming | |
CSCI听4620 | Distributed Computing |
Theory Courses听
| Code | Title | Credits |
|---|---|---|
CSCI听3100 | Algorithms | |
CSCI听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
CSCI听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听5990 Thesis Research (0-6 cr) as part of the elective requirements.
Internship with Industry
Students may apply at most three credits of CSCI听5910 Internship with Industry (1-3 cr)听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).