PROGRAM OVERVIEW

The MS in Artificial Intelligence program consists of 30 graduate-level semester credit hours, of which 15 are foundation, 12 are concentration, and 3 are elective (including the option coursework, project, or internship). Admitted students must declare a concentration. The program includes 4 concentrations: (1) Human-Computer Interaction, (2) Machine Learning, (3) Deep Learning, and (4) Natural Language Processing. Students must choose one of three options: coursework, MS project, or Internship. The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.

PROGRAM OBJECTIVES

The Master of Science in Artificial Intelligence program is designed to produce graduates who are highly qualified and to harmoniously integrate artificial intelligence into human life to drive value both for the companies providing the AIs and the users interacting with them. An MS in Artificial Intelligence can lead to a variety of career opportunities with high earning potential. This program offers students the essential knowledge and skills to design, develop, and implement AI systems across various high-demand sectors. The core curriculum is designed to provide an in-depth understanding of fundamental AI concepts, forming a solid foundation for both theoretical and practical aspects of artificial intelligence. Students learn to recognize the psychological and design implications of human interactions with intelligent systems and how business needs affect the way intelligent systems are considered and deployed. The emphasis of the Artificial Intelligence, MS program is on experiential learning and problem-solving.

CREDIT FOR PRIOR LEARNING

Students may earn up to six (6) semester credits, not exceeding 20% of the program, for prior learning that is equivalent in content and rigor to MSAI courses. Credit may be granted based on official transcripts, verified work experience, or professional certifications and must be approved by qualified faculty and/or admissions department. Such credits are recorded as “Credit for Prior Learning,” carry no letter grade, are excluded from GPA calculation, and do not reduce the minimum in-residence coursework required for degree completion.

DEGREE OUTCOMES

Successful completion of the MS AI Program will enable students to:

  • Understand representations, algorithms and techniques used across works in artificial intelligence and be able to apply and evaluate them in applications as well as develop their own.
  • Understand and apply machine-learning techniques, in particular to draw inferences from data and help automate the development of AI systems and components.
  • Lead teams in the design and development of new artificial intelligence technologies and products.
  • Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether it is to improve overall integrated system performance, improve AI performance or influence human performance and learning.
  • Understand the ethical concerns in developing responsible AI technologies.
  • Apply advanced knowledge of core principles and technologies to solve problems in different areas of artificial intelligence.

CAREER OPTIONS

Career options may require additional experience, training, or other factors beyond the successful completion of this program. A Master of Artificial Intelligence degree can academically prepare you to pursue career options such as:

  • AI Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Data Mining and Analysis
  • Business Intelligence Developer

WORK SETTINGS

A Master of Artificial Intelligence degree can academically prepare you to work in settings such as:

  • Technology Company
  • Entertainment Services
  • Software Company
  • Social Media Company
  • Banking and Securities

PROGRAM ADMISSION REQUIREMENTS

  • Completed Graduate Admissions Application and Application Fee of $50.
  • Bachelor’s degree in a related field from an accredited college or university in the United States or degree equivalent to a U.S. bachelor’s degree (outside U.S.) i.e. Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Electronics & Communications, Electrical Engineering, Robotics Engineering, Cyber Security, Artificial Intelligence, Communications Engineering, Data Science, Computer Applications, Computer Engineering, or work experience in related fields.
  • Admission to the program requires a minimum undergraduate cumulative grade-point average of 2.0.
  • Official transcripts are required. The prospective student must arrange to have an evaluation of your foreign transcript by one of the recognized Education evaluation companies. The cost for foreign transcript evaluation is the responsibility of the student.
  • Professional Resume.
  • Two letters of recommendation.
  • Statement of Purpose.
  • GRE optional.
  • Proof of English Language Proficiency (TOEFL/IELTS/PTE/Duolingo Score Report). Non-native English speakers who did not complete post-secondary education exclusively in the English language must provide proof of English language proficiency.
  • Proof of funds.

PROGRAM OUTLINE

The MS in Artificial Intelligence program requires completion of 30 credit hours:

  • Foundation Courses: 15 credits
  • Concentration Courses: 12 credits
  • Elective Courses: 3 credits

FOUNDATION COURSES

  • MS 610: Foundations of Technology and Artificial Intelligence
  • MS 620: Database Management
  • MS 630: Quality Assurance
  • MS 640: Business Analytics
  • MS 650: Software Development Life Cycle

CONCENTRATION COURSES

  • AI 720: Human-Computer Interaction
  • AI 730: Machine Learning
  • AI 740: Deep Learning
  • AI 750: Natural Language Processing

ELECTIVE COURSES

Choose one course from the following three courses:

  • MS 770: Data Mining
  • MS 790: Internship
  • AI 790: Capstone Project