Online Master's in Artificial Intelligence Management
Online Course Schedule for Fall 2025

AI Governance and Compliance

This course explores the fundamental principles of Artificial Intelligence (AI), focusing on critical aspects like the explainability and transparency of AI decision-making processes. Students will examine the security risks and privacy concerns associated with AI, understanding the technical hurdles in ensuring strict governance. The course guides students through the complexity of regulatory and legal frameworks that are shaping the incorporation of AI across different industries. A significant part of the course is dedicated to learning about established standards and best practices in the field, providing the knowledge necessary to develop and implement effective AI governance models. The course emphasizes the importance of considering both global and regional perspectives, highlighting the varied strategies and policies in AI deployment worldwide.

Ethical AI

Artificial Intelligence is directly related to ethics in the sense that it impacts the wellbeing of individuals and communities through the creation of disruptive technology. The development and application of AI can generate new industry values and wealth, but can also create or exacerbate ethical concerns across various sectors. One critical area of ethical consideration is the potential for AI to reinforce or introduce biases, which can lead to unfair outcomes and perpetuate inequalities. This course explores the ethical responsibilities and core values associated with technological innovations, with a special focus on understanding and mitigating AI biases. Students will learn to articulate ethical frameworks in relation to key industry concepts such as inclusiveness, fairness, reliability, and accountability. Additionally, the course will address the digital divide and persistent disparities in diversity and access to this technology. Finally, the course will examine fundamental philosophical elements, examining the distinction between humans and machines and exploring questions of existential risk, consciousness, intentionality, and moral agent in the context of AI.

Note: This is a core requirement of the degree. Students must earn a grade of "B" or better.

Ethical AI

Artificial Intelligence is directly related to ethics in the sense that it impacts the wellbeing of individuals and communities through the creation of disruptive technology. The development and application of AI can generate new industry values and wealth, but can also create or exacerbate ethical concerns across various sectors. One critical area of ethical consideration is the potential for AI to reinforce or introduce biases, which can lead to unfair outcomes and perpetuate inequalities. This course explores the ethical responsibilities and core values associated with technological innovations, with a special focus on understanding and mitigating AI biases. Students will learn to articulate ethical frameworks in relation to key industry concepts such as inclusiveness, fairness, reliability, and accountability. Additionally, the course will address the digital divide and persistent disparities in diversity and access to this technology. Finally, the course will examine fundamental philosophical elements, examining the distinction between humans and machines and exploring questions of existential risk, consciousness, intentionality, and moral agent in the context of AI.

Ethical AI

Artificial Intelligence is directly related to ethics in the sense that it impacts the wellbeing of individuals and communities through the creation of disruptive technology. The development and application of AI can generate new industry values and wealth, but can also create or exacerbate ethical concerns across various sectors. One critical area of ethical consideration is the potential for AI to reinforce or introduce biases, which can lead to unfair outcomes and perpetuate inequalities. This course explores the ethical responsibilities and core values associated with technological innovations, with a special focus on understanding and mitigating AI biases. Students will learn to articulate ethical frameworks in relation to key industry concepts such as inclusiveness, fairness, reliability, and accountability. Additionally, the course will address the digital divide and persistent disparities in diversity and access to this technology. Finally, the course will examine fundamental philosophical elements, examining the distinction between humans and machines and exploring questions of existential risk, consciousness, intentionality, and moral agent in the context of AI.

Ethical AI

Artificial Intelligence is directly related to ethics in the sense that it impacts the wellbeing of individuals and communities through the creation of disruptive technology. The development and application of AI can generate new industry values and wealth, but can also create or exacerbate ethical concerns across various sectors. One critical area of ethical consideration is the potential for AI to reinforce or introduce biases, which can lead to unfair outcomes and perpetuate inequalities. This course explores the ethical responsibilities and core values associated with technological innovations, with a special focus on understanding and mitigating AI biases. Students will learn to articulate ethical frameworks in relation to key industry concepts such as inclusiveness, fairness, reliability, and accountability. Additionally, the course will address the digital divide and persistent disparities in diversity and access to this technology. Finally, the course will examine fundamental philosophical elements, examining the distinction between humans and machines and exploring questions of existential risk, consciousness, intentionality, and moral agent in the context of AI.

Innovation Mgmt & AI Strategy

This course examines how to combine advanced AI technology management with effective business strategies. It focuses on building an innovative mindset in organizations and includes strategic planning as a key part. Students will learn to align AI projects with company goals, covering areas like market study, resources allocation, risks management. The course integrates fundamental principles of Lean and Agile project management. This includes understanding how to apply Lean methodologies for efficient workflow and resource optimization, and Agile practices for adaptive planning, evolutionary development, and flexible responses to change. Restrictions: Include

Innovation Mgmt & AI Strategy

This course examines how to combine advanced AI technology management with effective business strategies. It focuses on building an innovative mindset in organizations and includes strategic planning as a key part. Students will learn to align AI projects with company goals, covering areas like market study, resources allocation, risks management. The course integrates fundamental principles of Lean and Agile project management. This includes understanding how to apply Lean methodologies for efficient workflow and resource optimization, and Agile practices for adaptive planning, evolutionary development, and flexible responses to change. Restrictions: Include

Innovation Mgmt & AI Strategy

This course examines how to combine advanced AI technology management with effective business strategies. It focuses on building an innovative mindset in organizations and includes strategic planning as a key part. Students will learn to align AI projects with company goals, covering areas like market study, resources allocation, risks management. The course integrates fundamental principles of Lean and Agile project management. This includes understanding how to apply Lean methodologies for efficient workflow and resource optimization, and Agile practices for adaptive planning, evolutionary development, and flexible responses to change. Restrictions: Include

Intro to AI

The course provides an overview of the capabilities of the latest AI techniques, setting the stage for a deeper exploration of this cutting-edge field. The course provides a historical context of AI development and its trajectory. Students will gain a solid grounding in the various domains of AI, including machine learning, natural language processing, robotics, and more. Students will be introduced to fundamental concepts and techniques essential for understanding AI. Throughout the course, students will be exposed to various applications, providing them with a clear perspective on both the potential and the current limitations of these technologies. A significant focus will be on analyzing the interplay between human decision-making and AI systems, emphasizing the strengths and weaknesses of both.

Intro to AI

The course provides an overview of the capabilities of the latest AI techniques, setting the stage for a deeper exploration of this cutting-edge field. The course provides a historical context of AI development and its trajectory. Students will gain a solid grounding in the various domains of AI, including machine learning, natural language processing, robotics, and more. Students will be introduced to fundamental concepts and techniques essential for understanding AI. Throughout the course, students will be exposed to various applications, providing them with a clear perspective on both the potential and the current limitations of these technologies. A significant focus will be on analyzing the interplay between human decision-making and AI systems, emphasizing the strengths and weaknesses of both.

Intro to AI

The course provides an overview of the capabilities of the latest AI techniques, setting the stage for a deeper exploration of this cutting-edge field. The course provides a historical context of AI development and its trajectory. Students will gain a solid grounding in the various domains of AI, including machine learning, natural language processing, robotics, and more. Students will be introduced to fundamental concepts and techniques essential for understanding AI. Throughout the course, students will be exposed to various applications, providing them with a clear perspective on both the potential and the current limitations of these technologies. A significant focus will be on analyzing the interplay between human decision-making and AI systems, emphasizing the strengths and weaknesses of both.

Intro to AI

The course provides an overview of the capabilities of the latest AI techniques, setting the stage for a deeper exploration of this cutting-edge field. The course provides a historical context of AI development and its trajectory. Students will gain a solid grounding in the various domains of AI, including machine learning, natural language processing, robotics, and more. Students will be introduced to fundamental concepts and techniques essential for understanding AI. Throughout the course, students will be exposed to various applications, providing them with a clear perspective on both the potential and the current limitations of these technologies. A significant focus will be on analyzing the interplay between human decision-making and AI systems, emphasizing the strengths and weaknesses of both.

Intro to AI

The course provides an overview of the capabilities of the latest AI techniques, setting the stage for a deeper exploration of this cutting-edge field. The course provides a historical context of AI development and its trajectory. Students will gain a solid grounding in the various domains of AI, including machine learning, natural language processing, robotics, and more. Students will be introduced to fundamental concepts and techniques essential for understanding AI. Throughout the course, students will be exposed to various applications, providing them with a clear perspective on both the potential and the current limitations of these technologies. A significant focus will be on analyzing the interplay between human decision-making and AI systems, emphasizing the strengths and weaknesses of both.