westcliff mscai program enhance human capabilities

Master of Science in Artificial Intelligence (MSAI)

Master of Science in Artificial Intelligence (MSAI)

Program Description

The Master of Science in Artificial Intelligence (MSAI) program is designed to provide students with a comprehensive framework for artificial intelligence. Its goal is to cultivate exceptional leaders in the AI industry who can create and deploy cutting-edge intelligent systems that enhance human capabilities. Students will engage in an extensive core curriculum, intended to develop a strong foundation in core concepts that underpin artificial intelligence theory and practice. The program’s curriculum will help students develop a deep understanding and acquire knowledge in state-of-the-art topics in artificial intelligence, including machine learning, deep learning, robotics, fuzzy-based methods, and data science. They will also learn how to apply these techniques across various fields. Additionally, the curriculum includes a project component that allows students to apply the core course materials to a practical project in a real-world environment.

MSAI Program Learning Outcomes

MSAI Program Learning Outcomes

Develop a comprehensive understanding of artificial intelligence theory, algorithms, and applications to address modern challenges and opportunities. Master advanced techniques such as machine learning, deep learning, robotics, and data science to design and implement innovative solutions across diverse industries. Build expertise in analyzing and solving complex AI problems, fostering practical innovations that contribute to the field's evolution. Develop the ability to communicate AI concepts and findings effectively to varied audiences, showcasing proficiency in making complex ideas accessible. Emphasize ethical and responsible AI practices, ensuring sustainable and equitable advancements in AI technologies.

The Master of Science in Artificial Intelligence encourages students to achieve the following educational outcomes:

1
Demonstrate a comprehensive understanding of artificial intelligence theory, algorithms, and applications
2
Analyze the latest AI techniques including machine learning, deep learning, robotics, fuzzy logic, and data science
3
Research and evaluate Artificial Intelligence techniques to address complex real-world problems
4
Demonstrate AI proficiency by preparing and presenting a presentation targeted at diverse audiences with AI concepts, findings, and/or solutions
5
Assess the issues around ethical and responsible AI practices, emphasizing the importance of ethical considerations in the development and deployment of AI technologies

Program Requirements

  • Admissions Requirements

    For acceptance into the Master of Science in Artificial Intelligence (MSAI) degree program,  applicants must hold:

    Bachelor's degree in the field of information technology, engineering, computer science, or related fields (i.e., Electrical or Electronics Engineering) from an accredited university  (or its equivalent from a recognized institution) with a minimum 2.5 cumulative GPA.

    AND

    Students who have an incoming GPA between a 2.0 and a 2.49 or do not have a Bachelor of Science (BS) degree in a technology discipline may pursue the ACHIEVE version of the Master of Science in Artificial Intelligence.

  • Practical Learning Experience Requirements

    Westcliff University has integrated Practical Learning Experience (PLE) as a graduation requirement for the Master of Science in Artificial Intelligence program. This graduation requirement can be satisfied by completing at least one credit-bearing internship course that is assessed on a Credit/No Credit basis. Students are encouraged to complete as many PLEs as their schedules permit in pursuit of the completion of their program. To this end, Westcliff University students may require a start date up to 30 days prior to the start of classes to meet the onboarding requirements of the professional workplace where the PLE will be conducted. Students wishing to meet this graduation requirement in this manner must notify the university in advance.

  • Graduation Requirements

    Students must complete thirty-six (36) prescribed credit hours with a program GPA (PGPA) of 3.0 or higher to graduate. Students must apply for graduation. Upon graduation and fulfillment of all academic requirements, students receive a Master of Science in Artificial Intelligence degree.

Program Information

  • Required Courses

    Master of Science in Artificial Intelligence Program - 36 Credit Hours Total

     

    Core Courses - 12 Credit Hours

    AIT 500 Concepts of Artificial Intelligence - 3 credit hours

    AIT 550 Advanced Mathematical Methods for AI - 3 credit hours

    AIT 506 Machine Learning - 3 credit hours

    AIT 515 Introduction to Data Science - 3 credit hours

     

    Capstone Course (3 Credit Hours)

    CAP 690 Masters Applied Capstone - 3 credit hours

     

    Focus Courses (21 Credit Hours)

    AIT 508 Advanced AI Programming and Frameworks - 3 credit hours

    AIT 556 Advanced Machine Learning Techniques - 3 credit hours

    AIT 509 Natural Language Processing - 3 credit hours

    MIS 550 Big Data Analytics - 3 credit hours

    AIT 520 Artificial Intelligence and Ethics - 3 credit hours

    AIT 517 Affective Computing - 3 credit hours

    AIT 510 Deep Learning and Neural Networks - 3 credit hours

  • Course Catalog and Student Handbook
    Student Handbook and Catalog

Scholarship Opportunities

  • Scholarship Application

    As a Westcliff student, you have access to a powerful network of support from staff, faculty, alumni, and many others who take pride in investing in you. Scholarships are made possible by generous benefactors who are passionate about supporting your success.

    Apply Now
  • Scholarship Deadlines

    2025-2026 Academic Year Calendar

    Semester Session Scholarship Deadline Start Date End Date
    FALL Session 1 07/11/25 Start: 9/01/25 End: 10/26/25
    Session 2 Start: 10/27/25 End: 12/21/25
    SPRING Session 3 11/14/25 Start: 01/05/26 End: 03/01/26
    Session 4 Start: 03/02/26 End: 04/26/26
    SUMMER Session 5 03/13/26 Start: 05/04/26 End: 06/28/26
    Session 6 Start: 06/29/26 End: 08/23/26
Program Requirements