Program: Computer Science, B.S. - Milwaukee School of Engineering (2024)

Announcement

The Raider Return

MSOE is planning to resume on-campus classes for the Fall Quarter. Updates will be shared at the link below as decisions are made and health and safety precautions are put in place.

Search Menu

Site Navigation

About MSOE

Who We Are

Mission, Vision and Values

Strategic Plan

News

Careers at MSOE

Commencement

The Raider Return

Program Director

Dr. Derek Riley
Office: DH-430
Phone: (414) 277-2269
Email: riley@msoe.edu

Overview

Students will learn on the leading edge of the Artificial Intelligence (AI) revolution, developing skills to solve problems using algorithms, applied mathematics, and AI in a hands-on environment working on real problems with faculty who have industry experience.

MSOE computer science students will learn in AI, big data, and robotics labs in Diercks Hall while leveraging Rosie, MSOE’s GPU supercomputer to support large, real-world applied exercises. Students will also work on capstone projects with industry sponsors to further gain experience aligned with industry demands. MSOE’s computer science degree prepares students for careers in a wide variety of computing areas including: app development, data engineering, data science, software engineering, systems programming, cyber security, machine learning, and many more.

Program Educational Objectives

The computer science program is preparing graduates, within a few years of graduation, to:

Advance technically
- Become technical leaders on projects integrating advanced computing into delivered business and research solutions
- Choose and apply appropriate mathematical principles to understand and solve applied problems
- Evaluate how initiatives will add value to an organization
- Participate in professional organizations
Develop professionally
- Adapt and learn new computing methods, paradigms, and techniques to identify and evaluate potential solutions and apply them in an organization
- Develop solutions that address competing ethical and professional concerns as both technology and society continue to evolve
- Contribute to the broader field of computing and science
Collaborate effectively
- Demonstrate effective cross-organization communication and collaboration skills
- Champion personal accountability

Student Outcomes

Graduates of the MSOE Computer Science program will have an ability to:

Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions
Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline
Communicate effectively in a variety of professional contexts
Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles
Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline
Apply computer science theory and software development fundamentals to produce computing-based solutions

View Annual Student Enrollment and Graduation Data

Computer Science, B.S. Version S1

Year One

Fall

Total: 13 lecture hours - 4 lab hours - 15 credits

COM 1001 - College Writing 3 credits ♦ Raider Core: Communicate Effectively
CSC 1110 - Software Development 4 credits ^{1 *}
MTH 1110 - Calculus I 4 credits
PHY 1110 - Physics I - Mechanics and Thermodynamics 4 credits ¹ ♦ Raider Core: Think Critically

Spring

Total: 14 lecture hours - 4 lab hours - 15 credits

CSC 1120 - Data Structures and Graphical Interfaces 4 credits ^{1 *}
Elective (Lab Science) 4 credits^1,2
IDS 2020 - Career Development 0 credits
MTH 1120 - Calculus II 4 credits
Raider Core Elective♦ Exhibit Curiosity 3 credits³

Year Two

Fall

Total: 14 lecture hours - 4 lab hours - 16 credits

COM 2001 - Writing for the STEM Disciplines 3 credits ♦ Raider Core: Collaborate Successfully/Communicate Effectively
CSC 2611 - AI Tools 3 credits ^{1 *}
MTH 2130 - Calculus III 4 credits
MTH 2340 - Linear Algebra with Applications 3 credits
SWE 2410 - Design and Cloud Patterns 3 credits ^{1 *}

Spring

CSC 2621 - Introduction to Data Science 3 credits ^{1 *}
MTH 2310 - Discrete Mathematics 3 credits
MTH 2480 - Probability and Statistics 3 credits
PHL 3102 - Ethics of Digital Technologies and Artificial Intelligence 3 credits ♦ Raider Core: Demonstrate Ethical Understanding
SWE 2710 - Software Tools and Process 4 credits ^{1 *}

Year Three

Fall

Total: 14 lecture hours - 4 lab hours - 16 credits

COM 3001 - Professional Presentations 3 credits ♦ Raider Core: Collaborate Successfully/Communicate Effectively
CSC 2210 - Procedural and Object-Oriented C++ 4 credits *
CSC 3310 - Algorithms and Advanced Data Structures 3 credits *
CSC 3511 - Security and Networking 3 credits ^{1 *}
CSC 4601 - Theory of Machine Learning 3 credits ^{1 *}

Spring

Total: 13 lecture hours - 4 lab hours - 15 credits

BUS 2411 - Building Inclusive Teams 3 credits
CSC 3210 - Operating Systems 3 credits *
CSC 3320 - Databases 3 credits ^{1 *}
CSC 4611 - Introduction to Deep Learning 3 credits *
CSC 4801 - Data Science Practicum 3 credits ^{1 *} ♦ Raider Core: Integrate Learning

Year Four

Fall

Total: 12 lecture hours - 2 lab hours - 15 credits

CSC 4631 - Artificial Intelligence 3 credits ^{1 *}
CSC 4901 - Computer Science Capstone I 3 credits *
Elective (Lower Technical) 3 credits^{4 *}
Elective (Free) 3 credits⁵
Raider Core Elective ♦ Choice of CLO 3 credits⁶

Spring

Total: 13 lecture hours - 0 lab hours - 15 credits

CSC 4902 - Computer Science Capstone II 3 credits * ♦ Raider Core: Integrate Learning
Elective (Upper Technical) 3 credits^{7 *}
Elective (Upper Technical) 3 credits^{7 *}
Elective (Free) 3 credits⁵
Raider Core Elective♦ Embrace Diversity 3 credits³

Program total: 107 lecture hours - 26 lab hours - 123 credits

Notes:

* Courses with an asterisk are used to calculate major GPA. If a course offered by either the CSSE or ECBE departments is chosen for the free elective, it will count toward the student’s major GPA.

SeeThe Raider Corepage for details on the general education program and Common Learning Outcomes (CLOs). See thefull list of courses covering CLOsfor the Computer Science program.

¹Includes a laboratory component.

²Any 4 or more credit hour course that includes a laboratory component and is offered by the Physics and Chemistry Department.

³Six Raider Core credit hours of foundational knowledge in the humanities and social sciences. The combination of courses must address and assess theExhibit CuriosityandEmbrace DiversityCommon Learning Outcomes. With some exceptions, these courses must be taught out of the Humanities, Social Sciences, and Communication Department.

⁴Any 3 or more credit hour course offered by either the CCSE or ECBE Departments that has a course number of 2000 or higher.

⁵Any 3 or more credit hour course not found in the free elective exclusion list. If a course offered by either the CSSE or ECBE Departments is chosen for the free elective, it will count toward the student’s major GPA.

⁶Three Raider Core credit hours of foundational knowledge in the humanities, sciences, mathematics, social sciences and arts. The course must address and assess at least one of the following Common Learning Outcomes:Collaborate Successfully,Think Critically,Demonstrate Ethical Understanding,Exhibit Curiosity, orEmbrace Diversity. With some exceptions,eligible coursesmust be taught out of the Humanities, Social Sciences, and Communication, Mathematics, or Physics and Chemistry Departments.

⁷Six or more credit hours from courses offered by the either the CSSE or ECBE Departments that has a course number of 3000 or higher.

The following ROTC courses could count for free elective credit in the CS major(there are 6 credits of free electives in the major):

AIR 4141National Security Affairs/Preparation for Active Duty I (3 credits)
AIR 4142National Security Affairs/Preparation for Active Duty II (3 credits)
ARM 1800American Crucible: The Military and the Development of the United States (3 credits)
NAV 3964Practicum in U.S. Marine Corps Leadership and Management (4 credits)
NAV 4186Leadership and Core-Value-Based Decision-Making (3 credits)

Facebook this Page (opens a new window)

Tweet this Page (opens a new window)

Program: Computer Science, B.S. - Milwaukee School of Engineering (2024)

Program Director

Overview

Program Educational Objectives

Student Outcomes

View Annual Student Enrollment and Graduation Data

Computer Science, B.S. Version S1

Year One

Fall

Spring

Year Two

Fall

Spring

Year Three

Fall

Spring

Year Four

Fall

Spring

Program total: 107 lecture hours - 26 lab hours - 123 credits

Notes:

References