MBA – Artificial Intelligence and Business Intelligence
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The Master of Business Administration (MBA) in Artificial Intelligence and Business Intelligence prepares leaders to apply emerging technologies in business management, combining administration, data analysis, and automation to drive digital transformation.
Graduates will be qualified to work as managers, analysts, or consultants in AI applications for business, contributing to economic development and organizational competitiveness.
Are you interested in the specific requirements of the program?
- Professional degree or academic diploma
- Transcript of records
- Updated resume/CV
- 3 years of work experience
- Two professional recommendation letters
- For programs in English, non-native speakers must submit a TOEFL® score report or similar
- Payment of $100 for application fee
Language
English / Spanish
Learning Model
Online / Hybrid
Financing options
Monthly / Semester
Objective
Upon completing the MBA in Artificial Intelligence and Business Intelligence, students will be able to:
- Identify opportunities using AI and data analysis.
- Master business intelligence and predictive analytics tools.
- Promote a data-driven organizational culture.
- Integrate technological solutions into business planning.
- Apply ethical principles in data and algorithm management.
- Lead research and innovation projects in AI and BI.
What Will You Learn?
- Apply artificial intelligence tools in business management.
- Use business intelligence platforms for strategic decision-making.
- Implement technological solutions in areas such as marketing, finance, and operations.
- Analyze data to identify business opportunities and optimize processes.
- Design predictive models and automated systems.
- Integrate emerging technologies into organizational planning.
- Promote a data-driven organizational culture.
- Assess the ethical and legal impact of artificial intelligence in business.
- Lead digital transformation projects in collaborative environments.
- Develop innovation strategies supported by AI and advanced analytics.
Get to know the program
Study Plan
* for reference only
Number of class hours
1800 h
General education :
Ethic and Social Responsibility : 3 credits
Prerequisito: Ninguno
Basic Mathematics : 3 credits
This course includes the following topics: algebraic equations and inequalities; the concept of function and its related topics; It emphasizes the characteristics of polynomial, rational, exponential, and logarithmic functions, their properties, and graphs. Absolute value and radical functions. Composite and inverse functions.
Prerequisito: Ninguno
Writing and Composition : 3 credits
This course focuses on the basic elements of Composition and writing, for students to gain the writing skills necessary to express their ideas in accordance with the different forms used on academic environment. It will emphasize the importance of effective written communication in personal and professional contexts and provides the tools to identify effective strategies through critical analysis of written works, including strategies for planning, drafting, revising, and editing.
Prerequisito: Ninguno
Introduction to Psychology : 3 credits
Introduction to Sociology : 3 credits
College Mathematics : 3 credits
Art History : 3 credits
English Composition I : 3 credits
Critical Thinking : 3 credits
Introduction to Statistics : 3 credits
This course includes the following basic topics of statistics: Data, absolute and relative frequency, and Graphic representations. Measures of central tendency, measures of position and dispersion. Linear correlation. Elements of inferential statistics. Parameter estimation and hypothesis testing. Use of computing tools to address statistics problems.
Prerequisito: Ninguno
Basic courses :
Introduction to Electronic Commerce and Laboratory : 3 credits
Macroeconomics : 3 credits
Microeconomics : 3 credits
Applied Statistics : 3 credits
Information Technology Project Management : 3 credits
Network Fundamentals : 3 credits
Information Security Management : 3 credits
Computer Forensics : 3 credits
Information System Control and Auditing : 3 credits
In this course, students will analyze the structure of an audit as well as the essential components of the auditing process and its phases. They will identify the risks and controls in the IT area. They will discuss about the essential elements that must be considered when auditing operating systems, networks and databases. In addition, they will analyze techniques and tools used by auditors for evaluating systems development and transactions performed by computer systems.
Principles of Information Security : 3 credits
Project Management : 3 credits
Information Technology Strategic Planning : 3 credits
400 Information Technology Infrastructure Management : 3 credits
Information Technology Performance Analysis and Design : 3 credits
Computing as a Service : 3 credits
Fundamental of Information Technology : 3 credits
Computer Servers and infrastructure : 3 credits
Cloud Based Services : 3 credits
Artificial Intelligence and Internet of Things : 3 credits
Network Design : 3 credits
Network Security : 3 credits
Networks Administration : 3 credits
This course is an introduction to the knowledge and skills required to set up, maintain, troubleshoot, secure and support computer network routers and switches.
Data Communications : 3 credits
This course introduces the field of data communications. The course covers the principles of data communications, the fundamentals of signaling, basic transmission concepts, transmission media, line sharing techniques, physical and data link layer protocols, error detection and correction, data compression, common carrier services and data networks, and the mathematical techniques used for network design and performance analysis.
Wireless and Mobile Networks : 3 credits
Capstone : 3 credits
Our technology
- Learning platform available 24/7
- Free Microsoft Office 365 for our students
- Institutional email
- Digital library.
Our benefits
- Classes in Spanish
- Flexible schedules
- Payment facilities
- Global opportunities
Our teachers
- Teachers with solid professional experience
- Extensive academic background
- Multiple nationalities
- Academic credentials 80%
- Doctorate 20% Master's degree
Learning Models
Online
The on-line educational model in which educational platforms are connected to the Internet or Intranet. Through these platforms, there is information, planning, and communication systems, which allows professors and students to participate in virtual classrooms with various tools and learning applications, curriculum development, and evaluation including training materials, research, and links to other educational resources.
Academic activities take place asynchronously where the professors and students do not attend simultaneously to develop educational activities. Also, academic activities take place online or synchronously where there is simultaneous attendance for interaction between professors and students.
Hybrid
The hybrid educational model is characterized by systematically combining the in-person modality with virtual modality, based on television, radio, digital, and telephone physical resources, technological tools, and the interaction between professors and students. The educational platforms can be developed totally or partially autonomously by the students, that is, without requiring the presence or permanent guidance of the professor during its development.