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Master of Science in Artificial Intelligence and Machine Learning

Foundation Courses

Foundation courses may not be required for students depending on their undergraduate degree or credits earned at another institution. Each student will get a personalized evaluation of their academic history to ensure they take only the courses they need to complete their degree. Foundation courses that are not required do not need to be replaced by another course in the program.

IT 501IT SYSTEMS ANALYSIS

3
IT 530SQL & DATABASE FUNDAMENTALS

1
IT 531NETWORK FUNDAMENTALS

1
IT 532OPERATING SYSTEMS AND VIRTUALIZATION

3
IT 533PROGRAMMING I

3
QM 501INTRODUCTION TO BUSINESS ANALYTICS

1

Core Courses

Successfully complete the following courses:

IT 540INTRODUCTION TO DATA SCIENCE

3
IT 542BIG DATA ANALYTICS

3
IT 544DATA VISUALIZATION AND PREDICTIVE MODELING

3
IT 545PROGRAMMING FOR DATA ANALYSIS

3
IT 556MACHINE LEARNING

3
IT 557COMPUTER VISION & DEEP LEARNING

3
IT 558DEEP LEARNING THEORY

3
IT 559NATURAL LANGUAGE PROCESSING

3
QM 525MATH OF AI AND DEEP LEARNING

3

Capstone or Practicums

Students have the option of completing the capstone course or three one-credit hour practicum courses.

IT 591PRACTICUM I

1
IT 592PRACTICUM II

1
IT 593PRACTICUM III

1
IT 599CAPSTONE

3

Additional Electives (If Required)

If additional credits are required to meet graduation requirements, choose from any 500-600-level course not already required in the program.

Notes:

Courses cannot be used more than once to satisfy multiple requirements.

No more than six credits allowed in directed study, practicum, and/or internship.

Electives or concentrations from subsequent catalogs are permitted.

Online Course Orientation
The free and no credit Moodle orientation (MDL*001*R1) is mandatory for all students. MDL*001*R1 must be taken prior to the start of the first course.

To graduate with a master's degree from Walsh College, students must meet program-specific graduation requirements. Refer to the section entitled Residency Policy for specific credit hour requirements for each program.  All students must:

  • Complete the program of study within a period of 60 calendar months (five years) from the initial date of course enrollment (as designated by the first semester attended on the student’s Walsh College transcript). Extensions to this time requirement will only be granted upon review of the request by the dean of academics or designee.

  • Earn a minimum of 51% of the semester credit hours required in core, concentration, elective, and capstone courses in residence, therefore requiring 18 semester credit hours, in the Master of Science in Artificial Intelligence and Machine Learning program at Walsh College.

  • Achieve a grade point average of 2.000 (“C”) or better in all courses required in the Master of Science in Artificial Intelligence and Machine Learning program taken in residence at Walsh College.

  • Achieve a cumulative grade point average of 3.000 (“B”) or better within the degree requirements at Walsh College.

  • Students preparing for graduation must file an official Application for Graduation. Students can make an appointment with an academic advisor to review graduation requirements.

  • Students can view their degree completion progress any time by logging into Self-Service for Students through the student portal and clicking on “My Progress” on the Academic Records card.