Master of Science in Artificial Intelligence
An 18-month, 100% online master designed for professionals from any field — no prior programming experience required. Available in Spanish and English.
AI for Every Professional
The Master of Science in Artificial Intelligence is designed for professionals from any field who wish to prepare for a work environment increasingly driven by technology and innovation. No prior experience in programming or artificial intelligence is required to join this program. Through a practical and accessible approach, you will learn to use AI tools to analyze data, optimize processes, automate tasks, and make better-informed decisions in your professional field.
Over the course of 18 months, you will develop skills applicable to any industry through projects based on real-world scenarios. The program combines areas such as data science, machine learning, deep learning, cloud computing, and prompt engineering, enabling you to implement innovative solutions that create a positive impact within your organization.
The Only 100% Online U.S. Master in Spanish
Humboldt International University is the only accredited, 100% online university in the United States offering this master's degree entirely in Spanish—designed specifically for Spanish-speaking professionals—with the option to complete the program in English as well. Thanks to its virtual format, you can study from anywhere in the world, earn a degree from an accredited U.S. university and advance without interrupting your professional life.
Upon completing the program, you will be prepared to use Artificial Intelligence as a practical tool to boost your productivity, optimize your daily work, and successfully adapt to the evolving demands of the job market.
Program Learning Outcomes
- Building Knowledge-Based Systems: Students will master different Knowledge Representation Techniques that they can use to design and build Knowledge-Based Systems, in any area of knowledge in their educational or work environment.
- Application of Core AI Concepts: Graduates will demonstrate proficiency in foundational AI principles, including supervised and unsupervised learning, knowledge-based systems, and deep learning techniques, and apply these to solve real-world problems in healthcare, finance, and manufacturing.
- Data Processing and Analysis: Students will learn to collect, clean, and transform large datasets, preparing them for analysis through Python and AI frameworks. They will ensure data quality to support reliable AI model performance.
- Mastery of AI Tools and Frameworks: Graduates can effectively utilize leading programming tools such as Python, TensorFlow, and PyTorch to develop and deploy AI models, including machine learning and deep learning solutions.
- Ethical and Responsible AI: Students will be equipped to critically evaluate the societal impact of AI technologies and apply ethical considerations when designing and implementing AI systems, ensuring transparency, fairness, and accountability.
- Advanced Problem-Solving with AI: The program will foster the ability to innovate and create AI-driven solutions for difficult problems, leveraging techniques like knowledge representation, automated reasoning, and AI-based decision-making processes.
- Industry-Ready Skills in AI: Through practical projects and industry collaboration, students will develop the capability to translate AI theory into practice, delivering solutions that improve business processes, enhance decision-making, and remarkable innovation across various industries.
Program Breakdown by Course
| Course Number | Course Name | Semester Credits |
|---|---|---|
| Subjects | ||
| CAI-6005 | Introduction to Artificial Intelligence | 3.0 |
| CAP-6676 | Knowledge Representation Techniques | 3.0 |
| CAP-6680 | Building Knowledge-Based Systems | 3.0 |
| CAI-6107 | Unsupervised Machine Learning | 3.0 |
| CAI-6105 | Supervised Machine Learning | 3.0 |
| CAI-6220 | Mastering Prompt Engineering | 3.0 |
| CAI-6010 | Python for Data Processing | 3.0 |
| CAP-6741 | Data Visualization | 4.0 |
| CAP-6752 | Data Science | 4.0 |
| CAI-6210 | Deep Learning | 3.0 |
| CNT-6425 | Cloud Computing | 4.0 |
| CET-6939 | Capstone: Master's Final Project | 4.0 |