Master’s in Artificial Intelligence
Become a professional capable of designing and implementing AI solutions with a strategic, innovative, and business-oriented mindset: Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.
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Format 100% online
Start Date September 2026
Duration 18 months
Language English
AI, the driving force behind business transformation
The Master’s in Artificial Intelligence prepares you to apply intelligent solutions in real-world contexts, integrating advanced technical vision with digital environment needs. Throughout the program, you will develop skills to analyze complex problems, automate processes, and strengthen decision-making.
With a practical focus, this degree enhances your ability to work with Machine Learning, neural networks, and computer perception. Additionally, it provides a solid foundation for leading technological innovation projects and addressing business challenges with scalable solutions in one of the market’s highest-demand fields.
What will you learn during your Master’s in Artificial Intelligence?
Develop a strategic understanding of AI to create value in organizations. Gain the skills to design intelligent solutions and make data-driven decisions.
With a hands-on approach, you will build expertise in:
- AI solutions: design and implementation of machine learning and deep learning models.
- Engineering and technology: Python programming and scalable model development.
- Analytics and decision-making: predictive modeling and process optimization.
- Applied AI: NLP, computer vision, and business-focused solutions.
Why study at MIU?
Earning your Master’s in Artificial Intelligence at MIU will accelerate your professional career, preparing you for today’s business world. And, if you take this degree program with us, you can enjoy:
- A U.S. degree adapted to the needs of the American global market.
- Access to quality networking that connects you with students from all over the world, broadening your horizons and your opportunities.
- Flexible methodology that includes onboarding, personal advising, live and recorded classes, 24/7 technical support, and access to all the online resources.
- Affordable prices and a simple enrollment process for easy access to a high-quality education.
Format
We offer this U.S. degree in an online learning format to give you maximum flexibility. Advance at your own pace, anytime and anywhere.
Online
Tuition
Per credit
Fees
Start date
September 2026
Language
English
Duration
18 months (5 semesters)
Application fee
- Domestic Students: 50 USD/ for International Students:150USD
- Foreign Credential Evaluation (FCE): 150 USD
- Graduation Fee: 400 USD
(*) Does not include the graduation fee (USD 400)
Highlights
- Accredited by DEAC.
- Live and recorded classes.
- Maximum flexibility.
- Classes in English.
- U.S. degree.
Scholarships
See all the scholarships we have available for those who qualify, along with our no-interest payment plans. If you have any questions about your personal situation, we are here to help.
Study plan
36 Credits
At MIU, each academic term lasts 15 weeks, equivalent to one semester in the U.S. education system. We have three semesters each year: from January to May, from May to August, and from August to December.
See all the courses included in your degree program.
1st semester
Research and Project Management in Artificial Intelligence
3 credits
Artificial Intelligence and Cognitive Computing
3 credits
Machine Learning
3 credits
2nd semester
Neural Networks and Deep Learning
3 credits
Natural Language Processing (NLP)
3 credits
Computer Vision
3 credits
3rd semester
Automated Reasoning and Planning
3 credits
Design Methodology and Project Management
3 credits
4th semester
Interactive Information Visualization
3 credits
Big Data Processing Engineering
3 credits
5th semester
Artificial Intelligence Capstone Project
6 credits
Última revisión realizada: 22/06/2026
This course introduces students to the history, evolution, and key concepts of AI. It also covers the fundamentals of the scientific method and research processes, along with practical tools that support innovation and project development in AI environments.
Última revisión realizada: 22/06/2026
You will study methodologies for the proactive management of occupational risks associated with the development, implementation, and launch of digital initiatives. There will be a special focus on the software industry, which is particularly relevant in this field. You will learn how to identify problems related to IT security systems management, audit plan design, IT security implementation, the level of compliance with security rules, cloud security, and proactive security plan design.
Última revisión realizada: 22/06/2026
This course focuses on machine learning techniques as meta-algorithms that use data as a source of knowledge. Students will learn how to build models for control systems and knowledge extraction from data.
Última revisión realizada: 22/06/2026
Students will gain a comprehensive understanding of deep learning, including neural network architectures, their evolution, training processes, and deployment. The course also covers optimization techniques and real-world applications.
Última revisión realizada: 22/06/2026
This course explores computational linguistics and how machines process and understand human language. Students will study key algorithms for lexical, syntactic, and semantic analysis.
Última revisión realizada: 22/06/2026
Students will learn how AI systems replicate human perception using visual and sensory data. The course provides the tools needed to understand computational perception, including vision and speech processing.
Última revisión realizada: 22/06/2026
This course examines how intelligent systems represent and interact with the world, both individually and collaboratively. Students will study search techniques and planning algorithms used in advanced AI systems, including multi-agent environments.
Última revisión realizada: 22/06/2026
Students will learn how to design and manage technology projects using structured methodologies, applying quality standards and best practices throughout all project phases.
Última revisión realizada: 22/06/2026
This course focuses on representing data visually through charts, maps, and diagrams, both for communication and analysis. Students will learn the core principles of information visualization.
Última revisión realizada: 22/06/2026
Students will identify and work with software tools and programming environments for large-scale data analysis, selecting the most appropriate technologies for each project.
Última revisión realizada: 22/06/2026
In the Capstone Project, students will tackle a real-world problem through a practical and hands-on approach. They will develop an original project from scratch, applying the knowledge and skills acquired throughout the program. Each student will be guided by a faculty advisor and, upon completion, will present their project to an academic committee.
Master the essential tools for building intelligent systems
Work with industry-standard technologies to design, develop, and deploy AI solutions in real-world environments:
- Machine learning and AI frameworks: Scikit-learn, Keras, and TensorFlow for building and training machine learning and deep learning models.
- Natural Language Processing (NLP): NLTK for developing text-based applications and language models.
- Modeling and numerical computing: MATLAB for data analysis, algorithm development, and technical computing.
Master Python and expand your professional opportunities
Additionally, you’ll have access to Python Programming content, designed to strengthen your programming knowledge. Master the most powerful libraries of the language, and apply effective computational solutions in industrial and scientific environments. A practical and up-to-date experience, ideal for boosting your professional development in the tech field.
5 Stars in the QS Ranking
At MIU City University Miami, we hold a 5-star distinction in the QS Stars ranking, which endorses the quality of our online education, our practical approach, and our commitment to the professional development of our students.
Career opportunities
Organizations today demand professionals who can design and implement Artificial Intelligence solutions that drive innovation, optimize processes, and enhance decision-making.
As a graduate of the Master’s in Artificial Intelligence, you will be prepared for roles such as:
- NLP Consultant
- Machine Learning Scientist
- Computer Vision Engineer
- Machine Learning Engineer (AI Engineer)
- AI Systems Architect
- AI Developer
- Data Scientist
- Technology Consultant
(*)Source: https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf
AVERAGE SALARY
EMPLOYABILITY
Admission Requirements
To apply for this program, you must submit the following:
- Bachelor’s or master’s degree diploma.
- Copy of your passport or official ID.
- Completed application form.
- Updated resume.
- Proof of English proficiency (required if you enroll in an English‑taught program)*
(*) If you live outside the U.S. or your native language is not English, please refer to the guide here for the relevant steps and assessments.
Learn about the experience of our graduates
My experience at MIU City University Miami has been enriching. The practical learning has improved how I manage technology projects, while also enhancing my discipline, confidence, and ability to work with diverse people.
And get specialized:
Deepen your knowledge and stand out from the competition with our Continuing Education Course.
Courses taken through Continuing Education at MIU are awarded CEUs (Continuing Education Units), not college credits. They are not transferable to be applied toward an academic degree program. These courses are intended solely for professional development and personal enrichment.
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Key dates
- Fall semester: September – December
- Enrollment: August
- Spring semester: January – May
- Enrollment: December
- Summer semester: May – August
- Enrollment: April
Licenses and Authorizations
DEAC (Distance Education Accrediting Commission)
MIU City University Miami is accredited by the DEAC. The Distance Education Accrediting Commission is recognized by the Council for Higher Education Accreditation (CHEA).
State License
MIU City University Miami is licensed by the Commission for Independent Education, Florida Department of Education, under license number #5359.
A Leader in Online Education
MIU City University Miami is part of PROEDUCA Universities, a leader in online education with over 15 years of experience. With more than 108,000 students across 90+ countries and a team of 3,000 highly qualified professors, we offer a proven learning system based on academic excellence and accessibility.
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To apply for this master's program, you must hold a bachelor's degree.
$8,000*
$222 per credit