Program Overview

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Data Science, B.S. to Software Engineering, M.S. Accelerated Program

Overview

The Data Science, B.S. to Software Engineering, M.S. Accelerated Program at Saint Louis University allows students to complete both the Bachelor of Science in Data Science and the Master of Science in Software Engineering in a shorter time period than if both degrees were pursued independently.

Requirements

• Students must 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.
• A cumulative GPA of at least 3.00 and a GPA of at least 3.00 in computer science coursework are required at the time of application.
• Contact the graduate coordinator for more details.

Non-Course Requirements

• All School of Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program.

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.
• Only grades of "B" or better in the graduate courses taken while an undergraduate can be applied to the master's degree.

Roadmap

The roadmap is a recommended semester-by-semester plan of study for programs and assumes full-time enrollment unless otherwise noted.

• Courses and milestones designated as critical must be completed in the semester listed to ensure a timely graduation.
• Transfer credit may change the roadmap.

Plan of Study Grid

• Year One:
  • Fall:
    • CSCI 10xx: Introduction to Computer Science
    • MATH 1660: Discrete Mathematics
    • University Core and/or General Electives
  • Spring:
    • CSCI 1300: Introduction to Object-Oriented Programming
    • MATH 1510: Calculus I
    • University Core and/or General Electives
• Year Two:
  • Fall:
    • CSCI 2100: Data Structures
    • MATH 1520: Calculus II
    • University Core and/or General Electives
  • Spring:
    • CSCI 2300: Object-Oriented Software Design
    • CSCI 2500: Computer Organization and Systems
    • University Core and/or General Electives
• Year Three:
  • Fall:
    • CSCI 2510: Principles of Computing Systems
    • Additional Mathematics (2000+)
    • University Core and/or General Electives
  • Spring:
    • Application Course
    • Theory Course
    • PHIL 3050X: Computer Ethics
    • University Core and/or General Electives
• Year Four:
  • Fall:
    • CSCI 4961: Capstone Project I
    • CSCI 5090: Computer Science Colloquium
    • CSCI 51##: CSCI Elective
    • University Core and/or General Electives
  • Spring:
    • CSCI 4962: Capstone Project II
    • CSCI 51xx: CSCI Elective
    • University Core and/or General Electives
• Year Five:
  • Fall:
    • CSCI 5030: Principles of Software Development
    • CSCI 5050: Computing and Society
    • CSCI 5090: Computer Science Colloquium
    • Theory Elective
    • Software Engineering Elective
  • Spring:
    • CSCI 5090: Computer Science Colloquium
    • CSCI Systems Elective
    • Graduate Elective
    • Graduate Elective
    • Graduate Elective

Introduction to Computer Science

• Course List Code: CSCI 1010-1090
• Title: Introduction to Computer Science with various specializations
• Credits: Varying

Applied Systems

• Course List Code: CSCI 4500-4620
• Titles: Operating Systems, Computer Security, Computer Networks, Concurrent and Parallel Programming, Distributed Computing
• Credits: Varying

Theory Courses

• Course List Code: CSCI 3100-3200
• Titles: Algorithms, Programming Languages
• Credits: Varying

Graduate Electives

• Must include a course from at least two of the following categories:
  • CSCI (Language/Compilers courses)
  • CSCI (Large Scale Systems courses)
  • CSCI (Knowledge Systems)
  • CSCI or BCB 5200/5250 (Advanced Applications)

Program Notes

• CSCI 5050 Computing and Society 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 as part of the elective requirements.

Internship with Industry

• Students may apply at most three credits of CSCI 5910 Internship with Industry toward the degree requirements.

Closely Related Disciplines

• With approval, students may include up to six credits of elective graduate coursework in closely related disciplines.