Master of Science in Computer INformation Systems
The MSCIS program builds advanced technical and managerial skills in computer systems, data analysis, and AI. The Applied AI concentration focuses on machine learning and ethical AI governance.
Master of Science in Computer Information Systems (MSCIS)
Program Description
The Master of Science in Computer Information Systems (MSCIS) program equips students with advanced competencies in technical and managerial skills across computer systems, networks, communications, data analysis, and artificial intelligence. The Applied AI concentration develops expertise in AI foundations, applications, machine learning, and ethical governance of AI systems. The program emphasizes critical thinking and ethical principles while teaching students to effectively leverage information systems, data analytics, and AI technologies to transform organizations and optimize business processes with a clear understanding of Christian ethics and values. Graduates are prepared for leadership roles in the rapidly evolving technology landscape where AI integration is increasingly essential. Upon graduation, MSCIS graduates are expected to pursue junior to executive level managerial positions in business and IT enterprises classified under the United States Department of Labor’s Standard Occupational Classification codes 111-3021, 15-1212, 15- 1231, 15-1241, 15-1244.
MSCIS Program Learning Outcomes
Graduates of the Master of Science in Computer Information Systems (MSCIS) program will be able to:
- Evaluate and integrate advanced theoretical principles and emerging technologies in computer information systems to develop innovative solutions for complex technological challenges.
- Analyze computing challenges using appropriate methodologies and design innovative solutions that integrate emerging technologies, while considering ethical, legal, and social implications with Christian values.
- Communicate complex technical concepts, security risks, and strategic recommendations effectively to diverse stakeholders in professional contexts.
- Design and implement artificial intelligence systems by applying advanced machine learning algorithms, neural networks, and data analytics techniques to solve real-world problems across various domains.
- Establish AI governance frameworks ensuring ethical, responsible, and compliant deployment of artificial intelligence in organizations while upholding Christian ethical principles.
Program Course Requirements
Students for the Master of Science in Computer Information Systems (M.S.C.I.S.) program must provide proof that they have completed a bachelor’s degree in a computer information systems related area such as computer engineering or information systems from a recognized post-secondary institution of higher learning. Those who have not completed their bachelor’s degrees in computer information systems related areas will be required to enroll and complete the program prerequisite courses as determined and approved by the Academic Dean.
Classifications of Instruction Program
MSCIS Program Requirements
Prerequisite Courses (4 courses)
Students who completed their bachelor’s degree in a non-information field or students with an insufficient background in computer information systems are required to complete up to four (4) prerequisite courses. Some prerequisite courses may be waived or taken in combination with another course with the Academic Dean’s approval.
| Course # | Course Title | Units |
| BM 201 | Principles of Management | 4 |
| BM 221 | Business Statistics I | 4 |
| CS 201 | Introduction to Computer Information Systems | 4 |
| CS 221 | Introduction to Data Structures and Algorithms | 4 |
Major Courses (7 courses)
| Course # | Course Title | Units |
| BA 502 | AI for Business Application | 4 |
| BA 510 | Managerial Christian Ethics and Values | 4 |
| BA 512 | Advanced Strategic Management | 4 |
| BA 521 | Leadership and Organization Behavior | 4 |
| BA 573 | Project Planning & Management Seminar | 4 |
| CS 561 | Data Modeling & Database Administration | 4 |
| CS 582 | Information Systems Security | 4 |
Concentration-Applied AI Courses (4 courses)
| Course # | Course Title | Units |
| CS 588 | AI Foundations and Models | 4 |
| BA 589 | Data Analysis and Machine Learning | 4 |
| BA 590 | AI Applications | 4 |
| BA 591 | AI Ethics and Governance | 4 |
Elective Courses
- For those completing the program with a Project (MS611), students may choose among the major courses of other master programs to complete eight (8) quarter units as elective courses, subject to the approval of the Academic Dean.
- For those completing the program with a Comprehensive Exam, students may choose among the major courses of other master programs to complete twelve (12) quarter units as elective courses, subject to the approval of the Academic Dean.
Choose any one (1) course below:
| Course # | Course Title | Units |
| MS 611 | Project | 4 |
| MS 612 | Comprehensive Exam | 0 |
Graduation Requirements
The MSCIS degree is conferred upon satisfactory completion of the required quarter units shown below. A minimum grade point average of 3.0 is required.
| Courses | With Project | With Comprehensive Exam |
| Major Courses | 44 units | 44 units |
| Electives | 8 units | 12 units |
| Project/Exam | 4 units | 0 units |
| Total | 56 units | 56 units |
Up to 16 quarter units (4 courses) of coursework can be accepted for transfer credit from another institution. At least 24 quarter units (6 courses) must be completed in residency at the California University of Management and Science. Deviations and substitutions for the requirements must be approved by the Academic Dean prior to the start of classes.
