Overview
Major Area of Specialization in Artificial Intelligence Technologies for Business (STEM)
The Artificial Intelligence Technologies for Business major prepares students to lead and innovate at the intersection of artificial intelligence and business strategy. Offered by the Department of Business Technology, this major equips students with practical AI skills, theoretical foundations, and ethical frameworks necessary to implement intelligent technologies across key business functions.
Students will gain expertise in machine learning technologies used in the business enterprise, cloud-based AI platforms, AI agent systems, and generative AI applications tailored for real-world business environments. The program emphasizes applied skills, interdisciplinary collaboration, and ethical considerations critical to deploying AI responsibly in a rapidly evolving technological landscape.
Graduates will be well-positioned for careers in AI consulting, business intelligence, operations optimization, marketing analytics, financial technology, and emerging AI-driven business roles.
Curriculum Requirements
In addition to satisfying the University General Education Requirements and Electives, students pursuing the BBA in Artificial Intelligence Technologies for Business must complete the BBA Business Core and the specific coursework for the Artificial Intelligence Technologies for Business major area of specialization as follows:
| Code | Title | Credit Hours |
|---|---|---|
| General Education Requirements 1 , 2 | ||
| Written Communication Skills: | ||
| WRS 105 | First-Year Writing I | 3 |
| WRS 106 | First-Year Writing II 3 | 3 |
| or ENG 106 | Writing About Literature and Culture | |
| Quantitative Skills: | ||
| Quantitative Applications in Business (fulfilled through the BBA business core) | ||
or MTH 161 | Calculus I | |
| Areas of Knowledge: | ||
| Arts and Humanities Cognate | 9 | |
| People and Society Cognate | 9 | |
| STEM Cognate (9 credits) (fulfilled through the major) | ||
| Additional Requirements | ||
| UMX 100 | The University of Miami Experience | 0 |
| Electives | 23 | |
| BBA Business Core Requirements 1 | ||
| ACC 211 | Principles of Financial Accounting | 3 |
| ACC 212 | Managerial Accounting | 3 |
| BSL 212 | Introduction to Business Law and Ethics | 3 |
| BTE 210 | Fundamentals of Business Technology and Innovation | 3 |
| BUS 150 | Business Analytics | 3 |
| BUS 300 | Critical Thinking and Persuasion for Business 3 | 3 |
| ECO 211 | Principles of Microeconomics (Microeconomics) | 3 |
| ECO 212 | Principles of Macroeconomics (Macroeconomics) | 3 |
| FIN 302 | Fundamentals of Finance | 3 |
| MAS 110 | Quantitative Applications in Business (minimum grade of C- required; fulfills Quantitative Skills Requirement) | 3 |
| or MTH 161 | Calculus I | |
| MAS 201 | Introduction to Business Statistics (minimum grade of C- required) | 3 |
| MAS 202 | Intermediate Business Statistics | 3 |
| MGT 100 | Managing for Success in the Global Environment | 3 |
| MGT 199 | Professional Development and Success in the Workplace (or other approved Miami Herbert Business School career course) | 1 |
| or BUS 211 | Professional Development for Finance and Accounting | |
| MGT 303 | Operations Management | 3 |
| MGT 304 | Organizational Behavior | 3 |
| MGT 401 | Strategic Management (taken in the final semester) | 3 |
| MKT 201 | Foundations of Marketing | 3 |
| or MKT 301 | Marketing Foundations | |
| Major Area of Specialization in Artificial Intelligence Technologies for Business 4 | ||
| BTE 271 | Generative AI for Business Technology | 3 |
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| BTE 371 | Foundations of AI for Business Technology | 3 |
| BTE 403 | AI Cloud Computing | 3 |
| BTE 416 | AI Agents for Business Technology | 3 |
| Major Choice Courses - Select two courses (6 credit hours) from the following: | 6 | |
| Legal Ethical Implications of AI | ||
| Artificial Intelligence in an Interconnected Society | ||
| Introduction to Machine Learning in Business Technology | ||
| Advanced Programming with Generative AI | ||
| AI Programming for Business Management | ||
| Directed Studies in Business Technology (AI-focused topics) | ||
| Special Topics in Business Technology (AI-focused topics) | ||
| Multidisciplinary Action Projects (AI-focused project) 5 | ||
| The Economics of Technology and AI | ||
| Financial Decisions using Artificial Intelligence and Machine Learning | ||
| Machine Learning for Analytics | ||
| Marketing Analytics | ||
| Application of Artificial Intelligence in Marketing | ||
| Total Credit Hours | 120 | |
- 1
NOTE: WRS 105 and WRS 106 or ENG 106, or their equivalents, must be completed prior to attaining junior year classification, per the University General Education Requirements. MAS 110 or MTH 161 or their equivalent must be completed prior to the 5th semester of coursework. All courses must be taken within the current prerequisite structure.
- 2
At least one course with an international focus must be completed within the degree requirements. The appropriateness of the course is determined by the Vice Dean for Undergraduate Business Education.
- 3
Students who do not earn at least a C- in WRS 106 or ENG 106 must either repeat WRS 106 or ENG 106 and earn at least a C- or complete WRS 230 with at least a C- before enrolling in BUS 300.
- 4
All specific coursework for the major in Artificial Intelligence Technologies for Business must be completed with a grade of “C-” or higher. In addition, a minimum cumulative GPA of 2.5 is required for all specific coursework taken in the major area of specialization.
Each course may satisfy a requirement in only one major or minor area of specialization or cognate (i.e., no double counting).
- 5
-
BUS 428 is intended to be an integrative, experiential, project-based capstone course that requires students to apply their knowledge and insight gained from the coursework contained both in their degree program and in this major. Students need to have a declared major in Artificial Intelligence Technologies for Business and to have attained "Junior status or higher" in order to enroll in this class.
Sample Plan of Study
This Sample Plan of Study represents one possible version of a new freshman Business student’s 8-semester plan. The individual student's plan may vary depending upon the initial placement into English Composition and mathematics. Moreover, numerous plan variations are possible if a student enters the University with advanced college credits, wishes to participate in study abroad, chooses a special program option, or selects additional majors or minors.
Note that each major/minor at the University of Miami satisfies a particular "Area of Knowledge" within the general education requirements of the University. This means that it is possible to pursue two majors or a major and a minor within the Miami Herbert Business School and fulfill both the STEM and People and Society Areas of Knowledge; a separate cognate in these areas would not be required. The only remaining general education Area of Knowledge would be Arts and Humanities, which must be completed through a major, minor, or cognate outside of the Business School.
Students construct their individualized plans in collaboration with their assigned Cane Navigator.
| Freshman Year | ||
|---|---|---|
| Fall | Credit Hours | |
| ECO 211 | Principles of Microeconomics | 3 |
| MAS 110 or MTH 161 | Quantitative Applications in Business or Calculus I | 3 |
| MGT 100 | Managing for Success in the Global Environment | 3 |
| MKT 201 | Foundations of Marketing | 3 |
| WRS 105 | First-Year Writing I | 3 |
| UMX 100 | The University of Miami Experience | 0 |
| Credit Hours | 15 | |
| Spring | ||
| BUS 150 | Business Analytics | 3 |
| ECO 212 | Principles of Macroeconomics | 3 |
| MAS 201 | Introduction to Business Statistics | 3 |
| WRS 106 or ENG 106 | First-Year Writing II or Writing About Literature and Culture | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Sophomore Year | ||
| Fall | ||
| ACC 211 | Principles of Financial Accounting | 3 |
| BSL 212 | Introduction to Business Law and Ethics | 3 |
| BTE 210 | Fundamentals of Business Technology and Innovation | 3 |
| MAS 202 | Intermediate Business Statistics | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| ACC 212 | Managerial Accounting | 3 |
| BTE 271 | Generative AI for Business Technology | 3 |
| BUS 300 | Critical Thinking and Persuasion for Business | 3 |
| FIN 302 | Fundamentals of Finance | 3 |
| MGT 199 | Professional Development and Success in the Workplace | 1 |
| Arts and Humanties Cognate Course | 3 | |
| Credit Hours | 16 | |
| Junior Year | ||
| Fall | ||
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| BTE 371 | Foundations of AI for Business Technology | 3 |
| MGT 304 | Organizational Behavior | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| BTE 403 | AI Cloud Computing | 3 |
| MGT 303 | Operations Management | 3 |
| AI Technologies for Business Major Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credit Hours | 15 | |
| Senior Year | ||
| Fall | ||
| BTE 416 | AI Agents for Business Technology | 3 |
| AI Technologies for Business Major Choice Course | 3 | |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| MGT 401 | Strategic Management | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Elective | 2 | |
| Credit Hours | 14 | |
| Total Credit Hours | 120 | |
Additional Major Requirements
Students pursuing the BBA with an additional major area of specialization in Artificial Intelligence Technologies for Business must complete the BBA Business Core and the specific coursework for the Artificial Intelligence Technologies for Business major area of specialization. Only students pursuing the BBA degree at Miami Herbert Business School are eligible to select this as an additional major.
| Code | Title | Credit Hours |
|---|---|---|
| Major Area of Specialization in Artificial Intelligence Technologies for Business - Additional Major for BBA students 1 | ||
| BTE 271 | Generative AI for Business Technology | 3 |
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| BTE 371 | Foundations of AI for Business Technology | 3 |
| BTE 403 | AI Cloud Computing | 3 |
| BTE 416 | AI Agents for Business Technology | 3 |
| Major Choice Courses - Select two courses (6 credit hours) from the following: | 6 | |
| Legal Ethical Implications of AI | ||
| Artificial Intelligence in an Interconnected Society | ||
| Introduction to Machine Learning in Business Technology | ||
| Advanced Programming with Generative AI | ||
| AI Programming for Business Management | ||
| Directed Studies in Business Technology (AI-focused topics) | ||
| Special Topics in Business Technology (AI-focused topics) | ||
| Multidisciplinary Action Projects (AI-focused project) 2 | ||
| The Economics of Technology and AI | ||
| Financial Decisions using Artificial Intelligence and Machine Learning | ||
| Machine Learning for Analytics | ||
| Marketing Analytics | ||
| Application of Artificial Intelligence in Marketing | ||
| Total Credit Hours | 21 | |
- 1
All specific coursework for the major in Artificial Intelligence Technologies for Business must be completed with a grade of “C-” or higher. In addition, a minimum cumulative GPA of 2.5 is required for all specific coursework taken in the major area of specialization.
Each course may satisfy a requirement in only one major or minor area of specialization or cognate (i.e., no double counting).
- 2
BUS 428 is intended to be an integrative, experiential, project-based capstone course that requires students to apply their knowledge and insight gained from the coursework contained both in their degree program and in this major. Students need to have a declared major in Artificial Intelligence Technologies for Business and to have attained "Junior status or higher" in order to enroll in this class.
Mission
The mission of the Artificial Intelligence Technologies for Business major is to empower students with the knowledge, skills, and ethical grounding necessary to design, implement, and lead AI-driven solutions across diverse business functions.
Goals
Through an interdisciplinary curriculum blending artificial intelligence, cloud computing, machine learning technologies, business strategy, and responsible innovation, the program prepares future leaders to harness intelligent technologies for sustainable value creation, operational excellence, and societal benefit.
Graduates will emerge as agile, critical thinkers capable of navigating the evolving AI landscape with technical fluency, business acumen, and a commitment to ethical and inclusive technology practices.
- BBA/BSBA graduates will be critical thinkers, able to select and apply appropriate models, tools, and techniques, and frameworks to enable them to render analytically sound business decisions.
- BBA/BSBA graduates will be able to identify, analyze and resolve ethical issues in business scenarios.
- BBA/BSBA graduates will demonstrate professional written communication skills.
Student Learning Outcomes
- Students will be able to apply AI technologies to real-world business problems.
- Students will be able to deploy AI systems using cloud computing platforms.
- Students will be able to design intelligent agents for business automation.
- Students will be able to evaluate ethical, legal, and societal impacts of AI in business contexts.
- Students will be able to integrate AI technologies into marketing, finance, and operational decision-making.
- Students will be able to demonstrate interdisciplinary collaboration and project leadership skills.
