Objectives:

The program focuses on building an integrated educational and applied system that enables students to apply artificial intelligence in creating intelligent management systems and managing them through data. The program’s objective is not limited to teaching separate technical tools; rather, it extends to developing an analytical mindset capable of integrating technology and artificial intelligence into the core of institutional decision-making.

Domain

Strategic Objective

Quality of Managerial Decision-Making

Enable students to use descriptive, predictive, and prescriptive analytics to support senior management decisions.

Intelligent Management

Prepare professionals capable of designing business intelligence solutions based on artificial intelligence and machine learning for managing operations, resources, and customers.

Operational Efficiency

Equip students with skills in process analysis, operational cost reduction, and productivity improvement using data.

Institutional Competitiveness

Develop graduates’ ability to analyze data and build performance indicators that support the institution’s competitive position.

Data and Artificial Intelligence Ethics

Instill the principles of responsible use of data and algorithms, model governance, privacy, and algorithmic fairness.

Research and Application

Encourage applied research and joint projects with the business sector in the fields of analytics and artificial intelligence.

Program learning outcomes (PLOs):

Code

Learning Outcome

PLO-1

The student explains the concepts of business intelligence and their role in the transition toward intelligent management.

PLO-2

The student analyzes business data using the Python programming language, the R language, and big data analytics software
Hadoop & Spark

PLO-3

The student develops machine learning models to predict customer behavior, demand, risks, and operational performance.

PLO-4

The student designs dashboards and key performance indicators that support senior management in decision-making.

PLO-5

The student employs artificial intelligence tools to improve productivity, reduce costs, and enhance customer satisfaction.

PLO-6

The student evaluates data quality using artificial intelligence software and applies the principles of governance, privacy, and artificial intelligence ethics.

PLO-7

The student works effectively within multidisciplinary teams that integrate management, technology, and analytics.

PLO-8

The student presents clear, evidence-based managerial recommendations to stakeholders.

PLO-9

The student completes an applied graduation project that links a real-world managerial problem to its solution by building an information system based on artificial intelligence algorithms.