MBA Program with Artificial Intelligence Specialization (In-person/Online)
Today, artificial intelligence is no longer a futuristic technology but a key tool for business managers and leaders. If you are looking to gain advanced managerial skills and leverage AI in management and decision-making, the MBA AI program at Mahan Business School can pave your way. This MBA with an AI specialization uniquely uses artificial intelligence as a competitive and strategic advantage in business management, innovation, and growth.
By joining the comprehensive MBA program with AI, you will not only acquire theoretical knowledge in management and AI technologies but also learn how to apply this knowledge practically and lead your organization toward digital transformation.
Objectives of the MBA AI Program
Developing Digital Skills
Familiarity with various AI tools for creating and optimizing personal and professional content
Learning Data Analysis
Identifying and analyzing financial data (market trend forecasting), methods for collecting, processing, and interpreting organizational data
Understanding the Role of AI in Management
Optimizing organizational processes and data-driven decision-making, and developing a roadmap for implementing AI in your organization
Target Audience of the MBA AI Program
The target audience for the MBA AI specialization are business owners and professionals seeking to grow and strengthen their managerial skills. If you fall into any of the following categories, don’t miss this opportunity.
• Senior and middle managers
• Entrepreneurs and startup founders
• Professionals in management, marketing, finance, and human resources
Benefits of Learning from MBA AI
The advantages of learning an MBA in AI include the following:
- Practical and hands-on approach: Focus on implementing AI in management, strategy, and business growth.
- Dedicated mentoring: Guidance from leading experts in AI and management.
- Case studies and real-world projects: Exploring successful examples of AI applications across various industries.
- Specialized modules: Including data analysis, AI strategy, and more.
- Professional networking: Connecting with innovative leaders and managers for collaboration and experience sharing.
Program Details
Language of instruction: Persian
Mode of delivery: Both in-person and online
Organizing center: Mahan Business School
Type of program: Part-time
Duration (in-person): 100 hours
Duration (online): 95 hours
Certificate awarded by: Mahan Business School
Total course hours: 100 hours + 300 hours of extracurricular activities and self-study
Introduction to AI in Business Management
MBA AI Specialization Course Modules
Module Title: Fundamentals of AI and Deep Learning
In this module, learners are introduced to the basic concepts of Artificial Intelligence (AI) and Deep Learning (DL), and they will understand how these technologies can transform business models, optimize organizational processes, and improve data-driven decision-making.
Behavioral Objectives of Fundamentals of AI and Deep Learning
After completing this module, learners will be able to understand key definitions and concepts of AI and DL, the general process of developing a machine learning model, and identify AI and DL applications in various fields such as marketing and human resources.
Module Title: Data Science and Big Data
In this module, learners will become familiar with the fundamentals of data analysis, information processing, and Business Intelligence (BI). They will learn how to use data to improve decision-making, forecast market trends, and optimize organizational performance. This section helps managers to think data-driven and become familiar with BI tools and data analysis techniques.
Behavioral Objectives of Data Science and Big Data
Learners will gain the ability to understand basic data analysis and business intelligence concepts, how to collect, process, and interpret organizational data. They will become familiar with BI tools, use data for strategic decision-making and performance optimization, and learn data visualization techniques for presenting managerial reports.
Module Title 3: Developing AI-Based Strategies
In this module, learners will gain the ability to leverage artificial intelligence as a competitive advantage in their business strategies. This module helps learners identify AI opportunities in their industry, develop AI-based business models, and create a practical roadmap for AI implementation in their organization.
Behavioral Objectives of Developing AI-Based Strategies
After completing this module, learners will be able to analyze the role of AI in business strategies, identify AI-based business models, and recognize opportunities and threats of AI use. They will be able to design a practical roadmap for implementing AI in their organization.
Module Title 4: AI in Marketing and Sales
This module focuses on understanding the role of AI in optimizing marketing and sales processes.
Behavioral Objectives of AI in Marketing and Sales Module
In this module, learners will gain the ability to analyze and interpret customer behavior prediction models based on data and understand natural language processing (NLP) tools for analyzing customer feedback.
Module Title 5: AI Applications in Finance
This practical module on AI in finance and investment examines the role of AI technologies in analyzing financial data, forecasting market trends, risk management, and optimizing investment decisions.
Behavioral Objectives...
Module Title: Data Science and Big Data
In this module, participants will become familiar with the fundamentals of data analysis, information processing, and Business Intelligence (BI). They will learn how to use data to improve decision-making, forecast market trends, and optimize organizational performance. This module helps managers adopt a data-driven mindset and introduces them to BI tools and data analysis techniques.
Learning Outcomes – Data Science and Big Data
Participants will gain the ability to understand the basic concepts of data analysis and business intelligence, as well as how to collect, process, and interpret organizational data. They will become familiar with BI tools, learn to use data for strategic decision-making and performance optimization, and acquire data visualization techniques for presenting management reports.
Module 3 Title: Developing AI-Based Strategies
In this module, participants will gain the ability to leverage Artificial Intelligence as a competitive advantage in their business strategies. It helps them identify AI opportunities within their industry, develop AI-driven business models, and create a practical roadmap for implementing AI in their organization.
Learning Outcomes – Developing AI-Based Strategies
After completing this module, participants will be able to analyze the role of AI in business strategy, identify AI-based business models, and recognize the opportunities and threats associated with AI. They will also be capable of designing a practical roadmap for AI implementation in their organization.
Module 4 Title: Artificial Intelligence in Marketing and Sales
This module focuses on understanding the role of AI in optimizing marketing and sales processes.
Learning Outcomes – AI in Marketing and Sales
In this module, participants will gain the ability to analyze and interpret customer behavior prediction models based on data, and understand Natural Language Processing (NLP) tools for analyzing customer feedback.
Module 5 Title: Applications of Artificial Intelligence in Finance
This practical module explores the role of AI technologies in financial data analysis, market trend forecasting, risk management, and optimizing investment decisions.
Learning Outcomes – AI Applications in Finance
By the end of this module, participants will be able to understand and explain the role and impact of AI in f
Module 6 Title: Artificial Intelligence in Human Resource Management
This module focuses on explaining the use of AI in talent acquisition, recruitment, and employee performance evaluation.
Learning Outcomes – AI in Human Resource Management
In this module, participants will use machine learning algorithms to analyze HR data. They will gain the ability to identify AI tools for managing employee satisfaction and experience, and to predict workforce needs using AI.
Module 7: Artificial Intelligence in Content Creation
The AI in Content Creation module is highly practical for participants both in their personal and professional lives. In this module, various AI tools for generating text, images, audio podcasts, and more will be introduced. The role of AI in streamlining processes and saving time and energy will also be explored.
Learning Outcomes – AI in Content Creation
After completing this module, participants will be able to understand how AI contributes to the creation, optimization, and personalization of content to better engage audiences. They will be able to use AI tools for generating textual, visual, and video content, and develop strategies for automated content production.
Module 8: Information Systems in Management
The Information Systems in Management module focuses on understanding the role of information technologies in optimizing organizational processes such as decision-making, productivity, and overall management.
Learning Outcomes – Information Systems in Management
Upon completion of this module, participants will be able to understand and explain the role of information systems in managerial decision-making. They will identify and analyze various organizational information systems such as ERP, CRM, and BI to improve performance and enable intelligent business decisions. Participants will also be able to evaluate information system structures and understand the impact of Big Data analysis on managerial strategies.
Module 9: Applying Artificial Intelligence in Project Management
This module teaches the applications of artificial intelligence in managing project time, cost, and resources.
Learning Outcomes – Applying AI in Project Management
Upon completing this module, participants will gain the ability to use predictive models and risk analysis in projects with AI, utilize automation for intelligent task management and optimal resource allocation in projects, and gain a deep understanding of the role of machine learning algorithms in improving and optimizing workflows. They will also acquire skills in using AI-based project management tools.
Module 10: Thesis
This module is selected based on the participants' area of interest and concern, and one or a group of expert professors in that subject area will supervise the participants' project.
Minimum Entry Requirements for the Program
- Holding a bachelor’s degree
- Minimum of 3 years of managerial experience
- Acceptance through the program’s entrance interview
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