MASTERS OF SCIENCE IN ARTIFICIAL INTELLIGENCE
Become an AI Leader in the Tech Revolution
Gain the skills to develop complex intelligent systems and integrate AI into business applications through a flexible program designed for working professionals.
Estimated Annual Tuition: $15,138 (based on one academic year)
2 years Degree Duration | 39 Credit Credit Hours | 13 Courses
Choose Your Path to AI Excellence
Core AI Knowledge: Master the fundamentals of machine learning, deep learning, natural language processing, and AI ethics to build a solid foundation.
Real-World AI Applications: Specialize in AI for Finance, AI for Operations, or AI for Marketing to align your expertise with your career goals.
Practical Implementation Skills: Develop, build and implement AI tools for multiple domains using industry-standard frameworks and technologies.
Ethical Leadership: Learn to navigate the complex ethical, legal, and social implications of AI implementation in business contexts.
Program Structure:
The Master of Science in Artificial Intelligence requires 39 semester credit hours:
- Core Courses: 33 credits
- Concentration Courses: 6 credits
Program Duration:
- 2 years or shorter depending on your course load
Format Options:
- Fully online and hybrid classes
- Eight-week accelerated course sessions
- Multiple start dates throughout the year
Core Courses:
- Mathematics of Artificial Intelligence
- Ethics and Law of Artificial Intelligence
- Programming with Python
- Data Science and Analytics
- Natural Language Processing
- Machine Learning
- Data Modeling and Database Administration
- View Full Curriculum
Admissions
- Minimum 2.5 GPA
- Bachelor Transcripts and Graduation Certificate (Provisional and Final)
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| Course No. | Course Title | Credit Hour |
| MTH 5012 | Mathematics of Artificial Intelligence | 3 |
| CMP 5001 | Introduction to Programming with Python | 3 |
| CMP 5007 | Data Science and Analytics | 3 |
| AI 5011 | Introduction to Artificial Intelligence | 3 |
| CIS 5610 | Data Modeling and Database Administration | 3 |
| AI 5012 | Machine Learning | 3 |
| AI 5017 | Reasoning Under Uncertainty | 3 |
| AI 5051 | Ethics and Law of Artificial Intelligence | 3 |
| AI 5015 | Deep Learning | 3 |
| AI 5019 | Natural Language Processing | 3 |
| AI 6190 | AI Strategy Capstone | 3 |
| Course No. | Course Title | Credit Hour |
| BUS 1015 | Computer Essentials: Digital and Virtual Environment | 3 |
| BUS 3151 | Business Statistics | 3 |
| MTH 1150 | Algebra | 3 |
| FIN 4310 | Financial Management | 3 |
| SOC 1010 | Introduction to Sociology | |
| HUM 1010 OR ART 1010 | Introduction to Humanities OR Art History | |
| BIO 1020 |
Environmental Science |
AI / FINANCE
FIN 6001 Security Markets and Investments
This course focuses on securities markets, risk-return characteristics of investment, concepts of security analysis, various financial
instruments, and investment and portfolio strategies of individual and institutional investors. (3 credit hours)
*AI 5021 AI for Finance
This course will provide the fundamental skills and knowledge necessary to apply Artificial Intelligence and automation to financial
applications. Students will acquire analytical and quantitative skills for credit analytics and fraud analytics and learn mathematical,
statistical and software techniques for algorithmic trading. (3 semester credit hours)
*Prerequisites FIN 6001, AI 5012, AI 5015
**AI 6001 Artificial Intelligence Career Practical Training
This course is an elective externship course. This course is three-semester credit units and requires 135 hours of externship in the eight-week session. The course is designed to give the student practical on-the-job experience in the directed area of business administration. The course presents an opportunity for students to apply the knowledge and skills they have learned during their
program of study in a real-world setting. This course may be repeated. Only the first three semester credits count toward the
required 39-semester units required for graduation. *Prerequisite: One eight-week session of full-time course work. (3 credit hours)
Repeatable in AI 6002
**Repeatable in BUS 6002 Career Practical Training Extension (1 semester credit) pass/fail. These extension courses do not count
toward the 39 semester units required for graduation.
AI / OPERATIONS
MGT 6170 Operations Management
Presents the scientific methods used to investigate concerns involving the designing, planning and conducting of operations within an
organization. Mathematical methods of operations research are stressed. Topics studied include linear programming, decision analysis,
mathematical programming, inventory theory, forecasting, and Markov decision processes. (3 credit hours)
*AI 5022 AI for Operations
Covers the two most important areas where Artificial Intelligence and data-driven methods are applied for operations management.
The first area is Internet of Things and its hardware and software base and their application to operations management tasks. The
second area is process mining and optimization. (3 credit hours) *Prerequisite MGT 6170, AI 5012, AI 5015
**AI 6001 Artificial Intelligence Career Practical Training
This course is an elective externship course. This course is three-semester credit units and requires 135 hours of externship in the eight-week session. The course is designed to give the student practical on-the-job experience in the directed area of business administration. The course presents an opportunity for students to apply the knowledge and skills they have learned during their
program of study in a real-world setting. This course may be repeated. Only the first three semester credits count toward the required 39-semester units required for graduation. *Prerequisite: One eight-week session of full-time course work. (3 credit hours)
Repeatable in AI 6002 (1 credit hour)
**Repeatable in BUS 6002 Career Practical Training Extension (1 semester credit) pass/fail. These extension courses do not count
toward the 39 semester units required for graduation.
AI / MARKETING
MKT 6120 Marketing Management
Explores the processes and concepts of marketing from a managerial perspective. The course will analyze marketing tools, market
research, and competitor and consumer analysis. Offers a study of the relationship between the marketing mix, the changing business
environment and the overall corporate strategy. (3 credit hours)
AI 5022 AI for Marketing
This course covers the basic and advanced concepts of marketing research and modelling techniques using predictive analytics,
research about consumers, markets and marketing, including gathering data from traditional, web and social media sources. The course
also covers building data-based models based on seller and buyer preferences and using these models to make predictions about
marketplace behavior. *Prerequisite MKT 6120, AI 5012, AI 5015
**AI 6001 Artificial Intelligence Career Practical Training
This course is an elective externship course. This course is three-semester credit units and requires 135 hours of externship in the eight-week session. The course is designed to give the student practical on-the-job experience in the directed area of business administration. The course presents an opportunity for students to apply the knowledge and skills they have learned during their program of study in a real-world setting. This course may be repeated. Only the first three semester credits count toward the required 39-semester units required for graduation. *Prerequisite: One eight-week session of full-time course work. (3 credit hours)
Repeatable in AI 6002 (1 credit hour)
**Repeatable in BUS 6002 Career Practical Training Extension (1 semester credit) pass/fail. These extension courses do not count
toward the 39 semester units required for graduation.
In today's fast-changing tech environment:
AI PROFESSIONALS
Urgent Need for AI Professionals
TECH PROGRAMS
Tech Programs Miss Practical AI
TECH ETHICS
AI Requires Tech and Ethics
Organizations need AI specialists who understand both the technical and ethical dimensions of artificial intelligence.
FLEXIBILITY
No Flexible AI Programs Available
Program Locations
San Diego
San Jose
What鈥檚 at Stake
Why Your AI Expertise Matters
Without specialized AI education, you risk being left behind as organizations increasingly require advanced AI skills for leadership positions.
Career Advancement
Qualify for in-demand roles like AI Analyst, AI Scientist, or Information Systems Director.
Technical Leadership
Build the capabilities to lead teams in implementing transformative AI solutions.
Business Impact
Develop the ability to solve complex business problems using cutting-edge AI techniques.
Future-Proof Skills
Master technologies that will shape business strategy for decades to come.
Advance your career!
Up skill your career with technical as well as business knowledge for today鈥檚 world.
The AI Strategy Capstone Experience
As the culmination of your MSAI program, you鈥檒l complete a comprehensive Capstone Project that:
- Identifies real business problems solvable using AI tools
- Requires planning, collecting, and analyzing relevant data
- Involves researching and developing AI algorithms
- Results in implementing a functional AI solution
Students select their project area in consultation with faculty mentors, focusing on their career aspirations and interests. The project must demonstrate practical or theoretical innovation through one of several approaches:
- Implementing an AI algorithm to address a real-world business issue
- Comparing multiple AI algorithms to determine best practices in business settings
- Combining existing algorithms to create a more powerful hybrid solution
- Creating a new AI algorithm to solve a specifbusiness problem
Admission Requirements
- Bachelor's degree from an accredited institution with minimum 2.5 GPA
- Official academic transcripts
- Transfer students welcome from accredited institutions
- International students with equivalent education (NACES evaluation required)
- English proficiency requirements for non-native speakers
- Prerequisites may be required for those without business background
- We do NOT require standardized test scores like GRE, GMAT, nor resume, or essay.
Prerequisite Courses (if required):
- Introduction to JAVA
- Business Statistics
- Computer Essentials: Digital and Virtual Environment
I want to thank everyone working in this school 鈥� professors and staff, they are all great and they always go above and beyond to support their students and helped me land my dream job at Apple.鈥�
鈥� Ali Radwan, Egypt 鈥� Class of 2018 (BBA) and 2021 (MSCIS)
OPT Opportunities
Increase your eligibility
to work in the US
Not only does this program increase your employability worldwide, but you can also be eligible for up to three years of post-graduation work authorization (OPT) in the US. You must study in the US for the full year of your MSAI and go on to work in a STEM finance-related field. Non-STEM graduates are only eligible for a maximum of one year OPT in the US.
Number of nationalities that have been a part of the CalMU family.
Companies hired CalMU 2024 graduates.
For Military Students
Dedicated advisors familiar with military educational requirements
Evaluation process for relevant military training
Accommodating class schedules and learning options
For Transfer Students
Transfer up to 18 credits
Prior learning assessments
Accelerated path to completion
Transfer Credits Easily
Our admissions team will work with you to ensure you get credit for what you already know, so you can focus on what you need to learn.
Frequently Asked Questions
Program Basics
Upon successful completion of the program, you will earn a Master of Science in Artificial Intelligence from 91大神.
The MSAI program requires 39 credit hours.
The standard program duration is 2 years, though it can be completed sooner with a transfer credit evaluation.
We offer flexible classes designed for your busy schedule, including:
- Online options
- Hybrid formats
- Multiple start dates throughout the year
Our locations include:
- San Diego
- La Puente
- San Jose
Admission Requirements
To be considered for admission to the BSBA program, you need:
- Minimum 2.5 GPA
- Official academic Bachelor transcripts
- English proficiency (for non-native speakers)
Our admissions team will work with you to conduct:
- Transfer credit evaluations
- Prior learning assessments
- Review of previous coursework
| Course No. | Course Title | Credit Hour |
| BUS 1015 | Computer Essentials: Digital and Virtual Environment | 3 |
| BUS 3151 | Business Statistics | 3 |
| MTH 1150 | Algebra | 3 |
| FIN 4310 | Financial Management | 3 |
Tuition & Enrollment
Yes, our academic calendar consists of six class sessions that span across eight week courses.
Attached are the following deadlines:
- Summer 1: May 1, 2026
- Summer 2: June 26, 2026
- Fall 1: August 28, 2026
- Fall 2: October 30, 2026
Curriculum and Learning
Core AI skills include:
- Mathematics of Artificial Intelligence
- Programming with Python
- Data Science and Analytics
- Machine Learning
- Deep Learning
- Natural Language Processing
- Ethics and Law of Artificial Intelligence
- Data Modeling and Database Administration
Yes, we offer concentrations in:
- AI for Finance
- AI for Operations
- AI for Marketing
These specializations allow you to align your expertise with your specific career goals.
- Identifies real business problems solvable using AI tools
- Requires planning, collecting, and analyzing relevant data
- Involves researching and developing AI algorithms
- Results in implementing a functional AI solution
Students select their project area in consultation with faculty mentors, focusing on their career aspirations and interests.
-
Implementing an AI algorithm to address a real-world business issue
-
Comparing multiple AI algorithms to determine best practices in business settings
-
Combining existing algorithms to create a more powerful hybrid solution
-
Creating a new AI algorithm to solve a specific business problem
Success Stories:
Where CalMU graduates are now
91大神 transformed my career path and opened doors I never thought possible."
Isabella Aversi - BSBA Student 24鈥�
Transform your career with skills employers demand!
Our graduates don鈥檛 just earn degrees鈥攖hey land opportunities. Applications for our Summer and Fall 2026 programs are now being accepted.
Limited enrollment to ensure personalized attention and optimal learning outcomes.*
Download Brochure
Download a brochure for an in-depth look at CalMU undergraduate degree programs.
Upcoming Deadlines
We offer spring and fall start dates for our most popular programs.
Summer 2 Enrollment Deadline: June 26, 2026
Fall 1 Enrollment Deadline: August 28, 2026
Contact Us
Our team of advisors is ready to answer your questions, so if you鈥檇 like to talk to an enrollment director, please contact us.