Program Overview
The Master of Science in Artificial Intelligence (MSAI) program at University of the Cumberlands equips students with a comprehensive understanding of AI theory and practice. Through a fully online format, students gain expertise in core areas such as neural networks, natural language processing, and AI applications in healthcare. The program's flexible elective options allow for customization based on individual interests and career goals, preparing graduates for in-demand roles in data science, machine learning, and other AI-related fields.
Program Outline
Degree Overview:
The Master of Science in Artificial Intelligence (MSAI) program at University of the Cumberlands is designed to prepare students for careers in the rapidly growing field of artificial intelligence (AI). The program provides students with a comprehensive understanding of the theory and practice of AI, and prepares them to apply AI to solve real-world problems. The MSAI program has the following objectives:
- To develop students' theoretical and practical understanding of AI
- To prepare students to apply AI to solve real-world problems
- To prepare students for careers in the field of AI The MSAI program consists of 31 credit hours of coursework, including 27 hours of core courses and 4 hours of elective courses. The core courses cover the following topics:
- Introduction to Artificial Intelligence
- Neural Networks and Deep Learning
- Natural Language Processing
- Application of AI in Healthcare
- Data Visualization
- AI and Operations Management
- Transforming a Business with AI
- Ethics in Artificial Intelligence The elective courses allow students to tailor their program to their individual interests and career goals. Students can choose from a variety of electives, including:
- Machine Learning
- Computer Vision
- Robotics
- Expert Systems
- Data Mining
Outline:
The MSAI program is offered in a fully online format. The program is divided into eight-week bi-terms, and students can complete the program in as little as 16 months. The following is a sample course schedule for the MSAI program:
- Bi-term 1
- Introduction to Artificial Intelligence
- Neural Networks and Deep Learning
- Bi-term 2
- Natural Language Processing
- Application of AI in Healthcare
- Bi-term 3
- Data Visualization
- AI and Operations Management
- Bi-term 4
- Transforming a Business with AI
- Ethics in Artificial Intelligence
- Bi-term 5
- Elective Course
- Elective Course
Assessment:
Students in the MSAI program are assessed through a variety of methods, including:
- Exams
- Quizzes
- Projects
- Presentations
- Papers The specific assessment methods used in each course will vary depending on the course instructor.
Teaching:
The MSAI program is taught by a team of experienced faculty members who are experts in the field of AI. The faculty members use a variety of teaching methods, including:
- Lectures
- Discussions
- Case studies
- Simulations
- Projects The MSAI program also provides students with access to a variety of resources, including:
- A dedicated online learning platform
- A team of academic advisors
- A career services center
Careers:
The MSAI program prepares students for careers in a variety of fields, including:
- Data science
- Machine learning
- Computer vision
- Robotics
- Expert systems
- Data mining Graduates of the MSAI program have gone on to work for a variety of companies, including:
- Amazon
- Microsoft
- IBM
- Intel
