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Artificial Intelligence (BS)

Marymount’s Artificial Intelligence (AI) program recognizes the increasing focus on the use of artificial intelligence techniques in government, business, and society. This major prepares students to be developers and software engineers in the growing and exciting artificial intelligence/machine learning ecosystem.

The AI program provides the following:

  • A solid foundation of technology, computer science, cloud computing, and data science concepts that form the basis of AI applications in today’s world;
  • Specific skills in developing AI and machine learning applications across a wide range of platforms, in government, in finance, in science and in society to name a few;
  • Specific skills in advanced AI uses such as in computer vision and robotics, from manufacturing to self-driving cars;
  • A focus on ethics and the concept of trustworthy and explainable AI and the ability to communicate the workings of AI to the end user; and
  • Learning new methodologies and technologies as they arise.

Marymount University has worked with community colleges in the region to maximize the credits that can be transferred into the program, including credits for many industry certifications.

The faculty for this program, full time and part time, from government and industry, are experienced and knowledgeable in the specific subjects they teach and, when applicable, use extensive hands-on activities to support learning. Research opportunities are also available

Students are encouraged to engage in research with full-time faculty in areas such as computer hardware, machine learning, robotics, and natural language processing (NLP).

Internship Prerequisites: All students must take a for-credit internship or experiential learning opportunity in the artificial intelligence field before graduation. A minimum of 90 credits with a minimum cumulative GPA of 2.0 is required to register for the internship.

Minimum Grade Requirements: A minimum grade of C is required in all IT and DATA courses. A minimum grade of C+ is required for IT 489 Capstone Project. 

Residency Requirement: Students must complete 21 credits of their artificial intelligence major at Marymount.

Degree Requirements - Artificial Intelligence

 This degree requires at least 122 total credits.

Liberal Arts Core Requirements

See the Liberal Arts Core for details.

Major Requirements

To fulfill the requirements of the major, all students in this program will take the following coursework in a sequence determined in collaboration with an advisor. Some courses also satisfy Liberal Arts Core requirements.

Math Requirements

MA 181Calculus I *

4

MA 200Calculus II *

3

MA 218Probability and Statistics *

3

MA 260Discrete Mathematics for Information Technology *

3

Core Requirements

A minimum grade of C is required in all IT and DATA courses. A minimum grade of C+ is required for IT 489 Capstone Project. 

DATA 325Data Analytics

3

DATA 360Natural Language Processing (NLP)

3

DATA 370Machine Learning Technologies

3

DATA 395Data Visualization

3

DATA 450Advanced Machine Learning

3

IT 112Introduction to Computer Systems

3

IT 129Python Scripting

3

IT 150Concepts in Artificial Intelligence

3

IT 208Computer Networking

3

IT 210Software Engineering

3

IT 212Software Architecture and Design

3

IT 229Advanced Python Applications

3

IT 250Robotics and Embedded Systems

3

IT 310Database Technology

3

IT 315Operating Systems and Virtualization

3

IT 321Cloud Computing

3

IT 323Junior IT Seminar

1

IT 345Human Computer Interaction

3

IT 350AI: Sensor Networks and IOT

3

IT 352AI: Trust, Bias and Societal Impacts

3

IT 385Managing Big Data

3

IT 489Capstone Project

3

IT 490IT Internship

3

Sample Degree Plan - Artificial Intelligence

Year One - Fall

EN 101Composition I *

3

IT 112Introduction to Computer Systems

3

MA 181Calculus I *

4

Social Science (SS) core course - PSY 101 recommended *

3

Philosophy (PH) core course *

3

EN 101: WR core course

MA 181: MT core course

Year One - Spring

EN 102Composition II *

3

IT 129Python Scripting

3

IT 150Concepts in Artificial Intelligence

3

MA 218Probability and Statistics *

3

TRS 100Theological Inquiry *

3

EN 102: Composition core course

MA 218: DSCI core course

TRS 100: TRS core course

Year Two - Fall

IT 229Advanced Python Applications

3

PH 313Cyberethics *

3

HI History (HI) core course *

3

Literature (LT) core course *

3

Natural Science (NS) core course with lab *

4

PH 313: DF&R core course

Year Two - Spring

IT 208Computer Networking

3

IT 212Software Architecture and Design

3

IT 250Robotics and Embedded Systems

3

MA 200Calculus II *

3

Fine and Performing Arts (FPA) core course *

3

Year Three - Fall

DATA 325Data Analytics

3

IT 310Database Technology

3

IT 315Operating Systems and Virtualization

3

IT 323Junior IT Seminar

1

IT 350AI: Sensor Networks and IOT

3

MA 260Discrete Mathematics for Information Technology *

3

Year Three - Spring

DATA 370Machine Learning Technologies

3

IT 210Software Engineering

3

IT 321Cloud Computing

3

IT 345Human Computer Interaction

3

One (1) elective

3

Year Four - Fall

DATA 450Advanced Machine Learning

3

IT 352AI: Trust, Bias and Societal Impacts

3

IT 385Managing Big Data

3

IT 490IT Internship

3

Depth in Humanities core course

3

Year Four - Spring

DATA 360Natural Language Processing (NLP)

3

DATA 395Data Visualization

3

IT 489Capstone Project

3

Social Science (SS) core course *

3

One (1) elective

3

* Fulfills Liberal Arts Core Requirements. See the Liberal Arts Core and Course Descriptions for further information.