Roosevelt University · USA

Artificial Intelligence

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

Fall, Spring

Introduction

Artificial Intelligence is a Masters program taught at Roosevelt University, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master's in Artificial Intelligence at Roosevelt University offers a comprehensive curriculum designed to equip students with advanced skills in AI technology and its applications. Students will delve into key areas such as machine learning, data analytics, computer vision, and natural language processing. The program emphasizes both theoretical foundations and practical implementation, enabling students to approach AI challenges with innovative solutions.

The typical structure of the program combines core courses with elective options, allowing students to tailor their learning experience based on their interests and career aspirations. As a part of the course, students will participate in hands-on projects, case studies, and collaborative work with industry partners, fostering a rich learning environment.

By studying in the dynamic tech hub of the United States, students will benefit from exposure to cutting-edge research and development in the AI field. The diverse cultural landscape of the country also promotes global perspectives on technology, preparing graduates for international careers.

Admission Requirements

The minimum requirements for admission in Artificial Intelligence at Roosevelt University for all applicants (Domestic or International) are:

program specific academic requirment set by Roosevelt University.
English Language OR any other language requirments as set by Roosevelt University as pre-requiste for admission in Artificial Intelligence.

Note: Please check the university website in the link below.

Applicants for the Master's in Artificial Intelligence are expected to hold a bachelor's degree in computer science, engineering, mathematics, or a related field. Additionally, candidates should demonstrate a strong foundational knowledge of programming languages and data structures. Relevant work experience or research in technology sectors can enhance an applicant's profile.

International applicants are typically required to demonstrate English proficiency through standardized tests. The expected IELTS score is usually around 6.5 to 7.0 or a TOEFL score ranging from 80 to 100. Requirements may vary, so it is essential to check specific program details.