Artificial Intelligence (AI) is playing a significant role in government, business, society and also in our personal lives. Marymount University recognizes the important role of AI engineers in all in the today’s world.
THE AI PROGRAM PROVIDES THE FOLLOWING:
- A solid foundation of artificial intelligence concepts
- Specific skills in advanced software development, machine learning and robotics
- Knowledge of modern methodologies and tools in AI
Marymount University works with community colleges in the region to maximize the credits that can be transferred into the program from dual enrollment programs, community colleges, other accredited 4-year schools.
The faculty in the program, both full-time and part-time, have extensive expertise in the subjects they teach. They employ hands-on activities where appropriate to reinforce learning. Courses seamlessly integrate labs, enabling students to apply tools and techniques relevant to the professional world while mastering foundational concepts. The learning experience is enriched by a diverse array of extracurricular activities, such as competitions and boot camps
Students are encouraged to engage in artificial intelligence-related research with full-time faculty in areas such as business and financial analysis, cybersecurity, natural language processing (NLP), etc. A variety of paid and volunteer opportunities are available under the direction of our diverse and experienced faculty.
INTERNSHIP OPPORTUNITIES
To make sure students are ready for the workforce; all students must take a for-credit internship in the AI field before graduation. A minimum of 90 credits with a minimum cumulative GPA of 2.0 is required to register for the internship.
CREDITS REQUIRED
The B.S. in Artificial Intelligence degree requires at least 120 total credits.
MINIMUM GRADE REQUIREMENTS
A minimum grade of C is required in all AI courses. A minimum grade of C+ is required for IT 489 Capstone Project.
RESIDENCY REQUIREMENT – Artificial Intelligence
Students must complete 21 credits of their artificial intelligence major at Marymount.
LIBERAL ARTS CORE REQUIREMENTS
See the Liberal Arts Core for details. These important courses are included in the degree plan as shown below and enhance your computer science education ensuring so that you have life skills (writing, team work, critical thinking, ethics, etc.) to be successful in college and in your chosen career.
Major Requirements
To fulfill the requirements of the major, all students in this program will take the following coursework in sequence determined in collaboration with an advisor. Some courses also satisfy Liberal Arts Core and/or University Requirements
| IT 112 | Introduction to Computer Systems and Computer Architecture | 3 |
| IT 129 | Python Scripting | 3 |
| MA 218 | Probability and Statistics – Depth in Sciences Core course | 3 |
| IT 150 | Concepts in Artificial Intelligence | 3 |
| IT 229 | Advanced Python Applications | 3 |
| IT 212 | Software Architecture and Design | 3 |
| MA 200 | Calculus II – Math and Depth in Sciences Core course | 3 |
| IT 250 | Robotics and Embedded Systems | 3 |
| IT 208 | Computer Networking | 3 |
| IT 310 | Database Technology | 3 |
| IT 315 | Operating Systems and Virtualization | 3 |
| IT 350 | AI: Sensor Networks and IOT | 3 |
| DATA 325 | Data Analytics | 3 |
| IT 323 | Junior Seminar | 1 |
| IT 321 | Cloud Computing | 3 |
| IT 210 | Software Engineering | 3 |
| IT 345 | Human Computer Interaction | 3 |
| DATA 370 | Machine Learning | 3 |
| DATA 360 | Natural Language Processing (NLP) | 3 |
| DATA 395 | Data Visualization | 3 |
SAMPLE DEGREE PLAN
Year One – Fall
| IT 112 | Introduction to Computer Systems and Computer Architecture | 3 |
| PSY101 | Social Science Core – General Psychology | 3 |
| EN 101 | Composition I | 3 |
| MA 181 | Calculus I – Math Core course | 4 |
| PH 100 | Exploring Philosophy | 3 |
Year One – Spring
| IT 129 | Python Scripting | 3 |
| MA 218 | Probability and Statistics – Depth in Sciences Core course | 3 |
| IT 150 | Concepts in Artificial Intelligence | 3 |
| EN 102 | Composition II | 3 |
| TRS 100 | Theological Inquiry | 3 |
Year Two– Fall
| IT 229 | Advanced Python Applications | 3 |
| History Core Course | 3 | |
| Natural Science with Laboratory Core course | 4 | |
| Literature Core Course | 3 | |
| PH 313 | Cyberethics – Depth in Faith and Reasoning Core course | 3 |
Year Two– Spring
| IT 212 | Software Architecture and Design | 3 |
| MA 200 | Calculus II – Math and Depth in Sciences Core course | 3 |
| IT 250 | Robotics and Embedded Systems | 3 |
| Fine and Performing Arts Core Course | 3 | |
| IT 208 | Computer Networking | 3 |
Year Three – Fall
| IT 310 | Database Technology | 3 |
| IT 315 | Operating Systems and Virtualization | 3 |
| MA 260 | Discrete Math for IT- Math Core Course and Depth in Sciences | 3 |
| IT 350 | AI: Sensor Networks and IOT | 3 |
| DATA 325 | Data Analytics | 3 |
| IT 323 | Junior Seminar | 1 |
Year Three – Spring
| IT 321 | Cloud Computing | 3 |
| IT 210 | Software Engineering | 3 |
| IT 345 | Human Computer Interaction | 3 |
| DATA 370 | Machine Learning | 3 |
| Elective |
Year Four – Fall
| Depth in Humanities Core course | 3 | |
| IT 352 | AI Trust, Bias and Societal Impacts | 3 |
| IT 385 | Managing Big Data | 3 |
| DATA 450 | Advanced Machine Learning | 3 |
| IT 490 | Internship | 3 |
Year Four – Spring
| DATA 360 | Natural Language Processing (NLP) | 3 |
| DATA 395 | Data Visualization | 3 |
| Social Science Core Course | 3 | |
| Elective Course | 3 |
