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Computer Science, Minor to Artificial Intelligence, M.S. Accelerated Program

ÀÏ˾»ú¸£ÀûÍø's computer science minor toÌýartificialÌýintelligence M.S. accelerated program allows a student to complete, in an accelerated fashion, both a minor in computer science and the Master of Science (M.S.) in Artificial Intelligence.

SLU students may choose to pursue a minor in computer science in addition to their chosen bachelor's degree major.

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

Ìý

Computer Science, Minor

Artificial Intelligence, M.S.

Students who want to apply to this accelerated minor to master's program should have completed at least 75ÌýcreditsÌýat the time ofÌýapplication and must have already completed or be enrolled inÌýCSCIÌý2100 Data Structures.

Students must have a cumulative grade point average (GPA)Ìýof 3.00 at SLU and must have received grades of "B" or better in all CSCI courses thus far. To apply, students must submit a personal statement and arrange for two letters of recommendation.

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.Ìý

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.Ìý

Students who drop belowÌýthat GPA while in the accelerated program will be placed on a one-semester probationary period before beingÌýdismissed from the accelerated program.Ìý

Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollmentÌýunless otherwise noted. Ìý

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
FallCredits
Courses for major and core 15
ÌýCredits15
Spring
Courses for major and core 15
ÌýCredits15
Year Two
Fall
Courses for major and core 12
MATHÌý1510 Calculus I 4
ÌýCredits16
Spring
CSCI 10xxIntroduction to Computer Science 3
MATHÌý1520 Calculus II 4
Courses for major and core 9
ÌýCredits16
Year Three
Fall
CSCIÌý1300 Introduction to Object-Oriented Programming 4
MATHÌý1660 Discrete Mathematics 3
Courses for major and core 9
ÌýCredits16
Spring
CSCIÌý2100 Data Structures 4
Courses for major and core 12
ÌýCredits16
Year Four
Fall
CSCIÌý5030 Principles of Software Development 3
Courses for major and core 12
ÌýCredits15
Spring
CSCIÌý5300 Software Engineering 3
Courses for major and core 12
ÌýCredits15
Year Five
Fall
CSCIÌý5050 Computing and Society 3
Software Engineering ElectiveSoftware Engineering courses numbered CSCI5300-5399 3
Software Engineering ElectiveSoftware Engineering courses numbered CSCI5300-5399 3
CSCI Graduate ElectiveThe general electives may include additional selections from the Software Engineering category 3
ÌýCredits12
Spring
Software Engineering ElectiveSoftware Engineering courses numbered CSCI5300-5399 3
Graduate Elective 3
Graduate Elective 3
CSCIÌý5960 Software Engineering Capstone Project 3
ÌýCredits12
ÌýTotal Credits148

Introduction to Computer Science

CSCIÌý1010
Introduction to Computer Science: Principles
CSCIÌý1020
Introduction to Computer Science: Bioinformatics
CSCIÌý1025
Introduction to Computer Science: Cybersecurity
CSCIÌý1030
Introduction to Computer Science: Game Design
CSCIÌý1040
Introduction to Computer Science: Mobile Computing
CSCIÌý1050
Introduction to Computer Science: Multimedia
CSCIÌý1060
Introduction to Computer Science: Scientific Programming
CSCIÌý1070
Introduction to Computer Science: Taming Big Data
CSCIÌý1080
Introduction to Computer Science: World Wide Web
CSCIÌý1090
Introduction to Computer Science: Special Topics
With permission, a computing-intensive course from another discipline may be substituted. Examples of such courses include:
BMEÌý2000
Biomedical Engineering Computing
CVNGÌý1500
Civil Engineering Computing
STATÌý3850
Foundation of Statistics

Program Notes

Internship with Industry

Students may apply at most three credits ofÌýÌýCSCIÌý5910 Internship with Industry (1-3 cr)Ìýtoward the degree requirements.