The Bachelor of Business Administration (BBA) majoring in Artificial Intelligence in Business at American University in Dubai combines core business training with practical AI and data‑science skills to prepare students to apply machine learning and analytics in commercial settings. It suits students who want a business degree with a strong technical focus, aiming for roles that bridge management and data-driven decision making.
What you'll study
This programme blends a core business foundation with specialised AI and analytics topics. You will study management, accounting, finance, marketing and economics alongside programming, data science and applied machine learning tailored to business problems.
- Core business modules: Principles of Management, Financial Accounting, Managerial Finance, Marketing, Business Law, Organisational Behaviour, Operations Management, Business Ethics and Strategic Management.
- Foundations in quantitative and computing skills: Statistics for Business, Quantitative Methods, Introduction to Programming (typically Python), Databases and Information Systems.
- AI and analytics major modules: Introduction to Artificial Intelligence, Machine Learning for Business, Predictive Analytics, Natural Language Processing for Business Applications, Neural Networks and Deep Learning, Big Data Technologies, Decision Analytics and Visualisation.
- Applied and integrative experiences: Capstone project or thesis focused on an AI application in a business context, experiential learning projects with industry partners, and an internship or practicum to gain workplace experience.
- Electives and interdisciplinary options: Courses that allow specialisation or complementary skills such as FinTech, Digital Marketing Analytics, Supply Chain Analytics, Entrepreneurship and Innovation.
The programme typically emphasises hands-on labs, case studies, group projects and use of contemporary tools and platforms for data processing, model building and business deployment. Ethical, legal and governance issues of AI in business are integrated throughout the curriculum.
Entry requirements
Applicants are expected to hold a recognised secondary school qualification or equivalent. Typical entry includes satisfactory academic performance in secondary education with strong preparation in mathematics. Evidence of competency in English is required; international students may need to provide recognised test scores or other proof of English proficiency in line with university policy.
- Secondary school completion (or equivalent) from an accredited system.
- Mathematics at the secondary level is desirable; prior computing or programming experience is advantageous but not always mandatory.
- Submission of transcripts, a personal statement and any required documentation as specified by the university admissions office.
- International applicants must satisfy the university's English language requirements.
Career prospects
Graduates are prepared for roles that require both business acumen and applied AI skills. The degree is designed for those aiming to work at the intersection of management and data-driven technology.
- Business data analyst, analytics consultant or commercial data scientist in sectors such as finance, retail, logistics, healthcare and hospitality.
- AI product manager, operations analyst or automation strategist implementing AI solutions to improve efficiency and customer experience.
- Roles in digital transformation, business intelligence, and decision support, including positions in consulting firms and corporate analytics teams.
- Further study options including specialised master’s degrees in data science, artificial intelligence, business analytics or MBA programmes for leadership careers.
- Opportunities for entrepreneurship and joining technology startups focused on AI-enabled products or services.
Why study at American University in Dubai
Studying this BBA major at American University in Dubai gives you an American-style business education delivered in an international city and business hub. The curriculum is designed to balance theory and practice with opportunities for internships, industry projects and collaboration with regional employers.
- Programme delivery emphasises practical skills—programming, data analysis and AI model development—alongside traditional business disciplines.
- Access to faculty with academic and industry experience and to computing and analytics facilities that support hands-on learning.
- Location in Dubai provides proximity to a diverse range of businesses and technology firms in finance, logistics, retail and tourism, supporting networking and internship opportunities.
- Opportunities to engage in cross-disciplinary activities, student organisations and career services that help translate technical knowledge into commercial impact.
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