Applied Artificial Intelligence
Introduction
Applied Artificial Intelligence is a Masters program taught at Utah Valley University, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
The Master's Degree in Applied Artificial Intelligence at Utah Valley University prepares students to excel in the rapidly evolving field of AI. This program covers a broad range of topics including machine learning, natural language processing, data mining, and computer vision. Through a combination of theoretical learning and practical applications, students are equipped with the skills necessary to design, develop, and implement AI solutions in various industries.
The curriculum is structured to provide both foundational knowledge and specialized expertise. Core courses offer insights into AI algorithms and their applications, while elective courses allow students to focus on specific interests such as ethical AI, robotics, or AI in business. Hands-on projects and collaborative assignments foster teamwork and enhance the learning experience, encouraging students to apply their knowledge in real-world scenarios.
Studying in the United States, particularly in Utah, offers students a unique opportunity to engage with cutting-edge technology and industry leaders in one of the most dynamic tech environments. The diverse cultural landscape enriches the learning experience, fostering innovation and collaboration among students from around the globe.
Admission Requirements
The minimum requirements for admission in Applied Artificial Intelligence at Utah Valley University for all applicants (Domestic or International) are:
- program specific academic requirment set by Utah Valley University.
- English Language OR any other language requirments as set by Utah Valley University as pre-requiste for admission in Applied Artificial Intelligence.
Note: Please check the university website in the link below.
To gain admission to the Master's in Applied Artificial Intelligence, applicants typically need a bachelor's degree in computer science, information technology, engineering, or a related field. Additionally, a strong foundation in programming, data structures, and algorithms is essential. Relevant work experience or prior coursework in artificial intelligence or machine learning can be highly advantageous.
International students are usually required to demonstrate proficiency in English, typically evidenced by an IELTS score of 6.5 or a TOEFL score of 79. This ensures that students can effectively engage with course material and participate in collaborative projects.
Courses Units
Please check detail of study units at https://catalog.uvu.edu/programs/
More Information
- AI Research Scientist
- Machine Learning Engineer
- Data Scientist
- Computer Vision Engineer
- Business Intelligence Developer
- Robotics Engineer
- AI Product Manager
Scholarships
80 fully funded scholarships are listed for USA. See USA scholarships.