Master of Science in Artificial Intelligence

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Master of

Science in Artificial Intelligence

Master of Business Administration

The Master of Business Administration (MBA) is a program designed for professionals seeking solid knowledge in business management and leadership. Through a diversified curriculum that covers areas such as finance, marketing, human resource management, and business strategy, we will prepare you to make strategic decisions and lead teams in a global and dynamic business environment.

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Master of Science in Artificial Intelligence

The Master of Science in Artificial Intelligence at Carver University prepares professionals to lead innovation projects that integrate intelligent technologies into real-world environments. Through an interdisciplinary curriculum that combines theoretical foundations, advanced programming, ethical considerations, and practical applications, the program develops the competencies required to address the challenges of digital transformation across sectors such as healthcare, education, industry, and services.

The curriculum provides comprehensive training in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision, with an applied approach focused on solving complex, high-impact problems.

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Learning goals

Analyze the theoretical and computational foundations of artificial intelligence, with an emphasis on the evolution of autonomous and adaptive systems, critically evaluating their scope and limitations.

Design and implement intelligent solutions using advanced Machine Learning techniques, neural networks, and high-level programming, applied to real-world challenges across diverse sectors.

Evaluate the ethical, legal, and social impact of artificial intelligence by incorporating principles of algorithmic governance, data protection, and regulatory compliance into the development and deployment of technological solutions.

Apply predictive models and decision-support systems based on large-scale data analysis, with particular focus on strategic sectors such as healthcare, education, and industry.

Lead projects and applied research initiatives in artificial intelligence by integrating strategic thinking, advanced methodologies, and the responsible management of emerging technologies.

Professional perspectives

Technical Competencies
Demonstrates mastery of the principles and tools of contemporary artificial intelligence. Designs, trains, and evaluates Machine Learning and Deep Learning models; develops RAG and Natural Language Processing (NLP) systems; and applies Reinforcement Learning and optimization techniques to operational and strategic challenges. Proficiently utilizes programming environments and specialized frameworks to lead projects from conceptualization through functional implementation.

Strategic and Leadership Competencies
Understands how artificial intelligence transforms business models, organizational processes, and decision-making dynamics. Designs AI adoption strategies, leads multidisciplinary teams in contexts of technological change, and effectively communicates the value and risks of intelligent solutions to both technical and executive audiences.

Ethical and Responsible Practice Competencies
Integrates principles of algorithmic governance, data protection, and regulatory compliance throughout every stage of the AI project lifecycle. Recognizes the social implications of automation and acts responsibly when addressing the ethical challenges associated with technological development.

Program sequence

Track 1 – Foundations and Data Analytics

Data Analytics and Decision-Making
Machine Learning and Decision-Making
Generative AI for Executive Leadership

Track 2 – Advanced Models and Intelligent Systems

Deep Learning: Foundations and Advanced Models
Applied Deep Learning for Solving Complex Problems
Retrieval-Augmented Generation (RAG)
Intelligent Systems for Information Retrieval and Knowledge Generation

Track 3 – Strategy, Leadership, and Integration

AI Strategies for Organizational Transformation
Organizational Leadership and Change Management with AI
Reinforcement Learning Applied to Business
Organizational Process Optimization with AI
Capstone Project: Artificial Intelligence

Faculty

At Carver University, we take pride in having a distinguished faculty team composed of highly qualified professors who are committed to both educational excellence and research. With their extensive backgrounds and experiences, they bring a wealth of knowledge to the classroom and to our students.

Angela Pongiluppi
Carlos Villajuana
Christopher Swanson
Daviglem Valera
Edgar Pebe
Joseph Marquette
Marisela Zabala

Melissa Houston
Pablo Aranibar
Roberto Darrigrandi
Alfredo Zamudio
Sara Geller
Pinkas Flint
Daniel Alor

Jorge Muro
Kevin Laura
Rober Aphang
Ernesto Leo
Jorge Bernal
Ben Yabar
Claudia Carrera

Financial information

Fees

The program includes a $150.00 application fee and a $150.00 technology fee. These admission-related fees are waived for students who choose the full upfront payment option.

Total cost of the program

The total cost of the program is US $11,700.00. This amount does not include enrollment tuition fees or other applicable administrative charges. Academic materials and access to the virtual library are included as part of the program. Applicants may also apply for the George Washington Carver Grant, which provides up to 75% coverage of tuition costs, subject to the application and approval process.

Financial aid

Carver University is proud to offer a variety of financial aid options for qualified students, which may include academic scholarships, merit-based scholarships, and student loans. For more information about these opportunities and how to apply, please visit our financial Aid

For specific details regarding costs, we recommend visiting our Tuition and Fees page.

Carver & Coursera

Carver University, in partnership with Coursera for Campus, allows its students to take highly specialized courses and programs offered and certified by the most prestigious universities in the world.

By 2024, the following programs are available:

Specialized Program: Leading People and Teams - University of Michigan
Specialized Program: Analysis for Decision Making - University of Minnesota

Admissions

All applicants must meet the following admission requirements:

1. Submit a copy of an updated resume.

2. Submit three (3) letters of recommendation.

3. Submit an official transcript or original foreign evaluation showing successful completion of a US equivalent bachelor’s degree from an accredited college or university or equivalent recognition.

4. Submission of a valid government-issued photo identification.