M.S. in Artificial Intelligence

Boca Raton, Florida

INTAKE: Jan, May & Aug

Program Overview

Florida Atlantic University's Master of Science (M.S.) in Artificial Intelligence program is a cutting-edge and STEM-designated graduate program that equips students with the skills and knowledge necessary to excel in the dynamic field of artificial intelligence (AI). This program is designed for individuals passionate about AI and its transformative impact on industries, ranging from healthcare and finance to robotics and autonomous systems.FAU's M.S. in Artificial Intelligence program provides students with a comprehensive and STEM-designated education in the rapidly evolving field of AI. The program's interdisciplinary approach, hands-on experience, and focus on ethics ensure that graduates are not only technically proficient but also well-prepared to address the ethical and practical challenges associated with AI. With strong connections to industry partners and a commitment to cutting-edge research, FAU equips students to excel in AI-related careers and contribute to the advancement of AI technology and its responsible use.

Curriculum:

STEM-Designated: FAU's M.S. in Artificial Intelligence program is STEM-designated, highlighting its strong emphasis on Science, Technology, Engineering, and Mathematics. This designation acknowledges the program's commitment to providing students with a rigorous education in quantitative and technical skills.
Comprehensive Curriculum: The program's curriculum is comprehensive, covering a wide range of AI topics, including machine learning, deep learning, natural language processing, computer vision, robotics, and ethics in AI. Students acquire a solid foundation in AI theory and practice.
Cutting-Edge Technologies: FAU places a strong focus on exposing students to cutting-edge AI technologies and tools. Students gain hands-on experience with industry-standard software and platforms used in AI development and research.
Experienced Faculty: The program is led by a team of experienced faculty members who are experts in AI research and application. Students benefit from their mentorship and guidance, gaining insights from faculty members actively engaged in AI projects.
Practical Experience: FAU values practical experience. Students have opportunities to work on AI projects, engage in research, and collaborate with industry partners, allowing them to apply their knowledge in real-world scenarios.
Interdisciplinary Approach: The program takes an interdisciplinary approach, recognizing that AI has applications across various domains. Students learn how to tailor AI solutions to meet specific industry needs, from healthcare diagnostics to autonomous vehicles.
Ethics and Responsible AI: FAU emphasizes the ethical aspects of AI. Students explore the responsible development and deployment of AI systems, considering issues such as bias, fairness, transparency, and accountability.
Capstone Project: The program typically includes a capstone project where students work on real AI challenges. This project allows students to showcase their skills, solve practical problems, and build a strong portfolio for future career opportunities.
Research Opportunities: FAU offers research opportunities for students interested in advancing AI knowledge. Research projects may cover AI ethics, machine learning algorithms, natural language processing, and more.
Collaborations and Partnerships: FAU fosters collaborations with industry partners, research institutions, and AI-focused organizations. Students have opportunities to engage with these partners through internships, networking events, and guest lectures.
AI in Industry: Graduates are well-prepared to work in industries where AI is revolutionizing operations, including healthcare (AI diagnostics), finance (algorithmic trading), autonomous vehicles, cybersecurity, and e-commerce (recommendation systems).
Entrepreneurship: Some graduates may choose to start their own AI-focused startups, developing innovative AI products and services to address market needs.
Global Opportunities: AI professionals are in demand worldwide. Graduates can explore job opportunities on a global scale, contributing to AI projects and initiatives in different countries.
AI Education: Some graduates may choose to become educators, sharing their AI expertise with the next generation of AI professionals through teaching and training roles.

Location

Boca Raton, Florida

Score

IELTS: 6

Tuition Fee

USD 18483

Entry Requirements for Postgraduate Programs

Applcation Fees : US$ 30

1. Academic Requirements: Applicants should have completed a bachelor's degree or its equivalent from an accredited institution with a minimum overall GPA of 65% or above.

2. English Language Proficiency:

IELTS (International English Language Testing System): An overall score of 6.0 is required with no individual band score below 5.5
TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): A minimum overall score of 79 is required.
DET (Duolingo English Test): A score of 100 or higher is required.

The Florida Atlantic University offers a range of scholarships and financial aid opportunities tailored to the needs of international students:

International Freshman Scholarships: FAU offers merit-based scholarships for outstanding international freshman applicants. These scholarships are awarded based on academic achievements and standardized test scores. Awards can significantly reduce the cost of tuition.
International Transfer Scholarships: International students transferring to FAU from other institutions can apply for transfer scholarships. These awards recognize academic accomplishments at the previous institution and can help offset the cost of tuition at FAU.
Diversity Scholarships: FAU values diversity and inclusion. The Diversity Scholarship is available to students who have demonstrated a commitment to promoting diversity and inclusion in their academic and extracurricular activities.
Graduate Assistantships: FAU provides graduate assistantship opportunities for international students pursuing master's or doctoral degrees. These assistantships may include a stipend, tuition remission, and valuable work experience in research or teaching.
Departmental Scholarships: Many academic departments at FAU offer scholarships specific to their disciplines. International students are encouraged to explore opportunities within their respective fields of study.
Global Student Success Program Scholarships: FAU partners with the Global Student Success Program (GSSP) to offer conditional admission and scholarship opportunities to international students who need additional English language preparation before starting their degree programs.
Private Scholarships: FAU assists international students in identifying external scholarship opportunities. This includes scholarships from foundations, organizations, and government programs in the students' home countries.
FAFSA for Eligible Non-Citizens: Some international students may be eligible to submit the Free Application for Federal Student Aid (FAFSA) as eligible non-citizens. This can potentially provide access to federal grants and loans.
Cultural and Exchange Scholarships: FAU participates in cultural exchange programs that offer scholarships to international students. These programs promote cultural understanding and academic exchange.

Application Deadlines and Eligibility Criteria: It's essential for international students to review each scholarship's application deadline and eligibility criteria carefully. Requirements may vary based on the specific scholarship and program of study.

Florida Atlantic University's Master of Science (M.S.) in Artificial Intelligence program is designed to prepare graduates for dynamic and high-demand career opportunities in the field of artificial intelligence (AI). With AI driving innovation across industries, FAU's program equips students with the skills and knowledge necessary to excel in this rapidly evolving field.

AI Engineer/Developer: Graduates can work as AI engineers or developers, designing and implementing AI algorithms, machine learning models, and AI-driven solutions for various applications.
Machine Learning Engineer: Machine learning engineers focus on creating and optimizing machine learning models and systems, often for tasks such as natural language processing, computer vision, and recommendation systems.
Data Scientist: Data scientists apply AI and machine learning techniques to analyze large datasets, extract insights, and make data-driven decisions across industries, including finance, healthcare, and marketing.
AI Research Scientist: AI research scientists work in academia, research institutions, or industry research labs, advancing the field by conducting cutting-edge AI research.
AI Consultant: AI consultants provide expertise to organizations seeking to implement AI solutions, assisting with strategy development, implementation, and optimization.
Robotics Engineer: Graduates with expertise in AI can work in robotics, designing and programming autonomous robots for industries like manufacturing, healthcare, and agriculture.
Computer Vision Specialist: Computer vision specialists develop AI systems that enable computers to interpret and understand visual information from the world, with applications in autonomous vehicles, surveillance, and healthcare.
Natural Language Processing (NLP) Engineer: NLP engineers work on AI models that process and generate human language, enabling applications like chatbots, language translation, and sentiment analysis.
AI Product Manager: AI product managers oversee the development and launch of AI-powered products and services, aligning business goals with AI capabilities.
Healthcare AI Specialist: In healthcare, AI specialists use AI algorithms for medical image analysis, drug discovery, and personalized treatment recommendations.
AI Ethicist: With the growing importance of ethical AI, graduates can work as AI ethicists, ensuring AI systems and algorithms are developed and used responsibly and ethically.
AI in Finance: AI professionals in the finance sector use AI for fraud detection, algorithmic trading, credit risk assessment, and investment analysis.
AI in Marketing: AI plays a crucial role in marketing for customer segmentation, predictive analytics, and personalized marketing campaigns.
AI in Gaming: The gaming industry employs AI professionals for game development, character behavior, and procedural content generation.
AI in Cybersecurity: AI is used to detect and prevent cyber threats, making cybersecurity AI specialists in high demand.
AI in Education: AI is transforming education with personalized learning, intelligent tutoring systems, and educational data analysis.
AI in Autonomous Vehicles: Autonomous vehicle engineers utilize AI for navigation, object detection, and decision-making in self-driving cars.
AI in Aerospace: The aerospace industry relies on AI for autonomous drones, predictive maintenance, and mission planning.
AI in Agriculture: AI professionals in agriculture develop AI solutions for precision agriculture, crop monitoring, and autonomous farming equipment.
AI in Renewable Energy: AI is used to optimize energy production and consumption in renewable energy systems.
Government and Defense: Graduates can work for government agencies and defense organizations, applying AI for national security, intelligence analysis, and autonomous systems.
Startups and Entrepreneurship: Many AI professionals choose to start their own AI-focused companies, working on innovative AI products and services.
AI Education and Training: With the growing demand for AI expertise, graduates can become educators and trainers, teaching AI skills to the next generation of professionals.

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