Applied Artificial Intelligence for Business (M.S.)

The Master of Science in Applied Artificial Intelligence for Business at the University of Delaware prepares students to apply artificial intelligence technologies to real-world business challenges and lead innovation across different industries. The programme combines machine learning, neural networks, natural language processing, large language models, computer vision, and predictive analytics with business strategy, helping students develop the technical expertise and managerial skills needed to implement AI-driven solutions and guide digital transformation.

Curriculum Structure

The programme requires 30 credit hours of approved coursework and can be completed in approximately one to two years, depending on the student's study format and course selection. Students develop technical AI knowledge alongside business strategy and practical problem-solving skills, with opportunities to study full-time, part-time, online, or through a hybrid format.

Artificial Intelligence and Machine Learning Foundations: Students explore the fundamentals of artificial intelligence and machine learning, developing an understanding of how intelligent systems process information, recognise patterns, and support business decisions. They build knowledge of neural networks, predictive analytics, and natural language processing while learning how these technologies can address practical organisational challenges.

Generative AI and Advanced Applications: Students develop an understanding of large language models, generative AI applications, and computer vision. They explore how AI tools can support business functions such as marketing, customer service, financial analysis, automation, and strategic planning while evaluating the opportunities and limitations of emerging technologies.

AI Strategy and Business Transformation: Students learn to evaluate, implement, and manage AI solutions within organisations. They develop skills in assessing AI initiatives, analysing business outcomes, addressing ethical considerations, and leading technology adoption across teams. The programme emphasises translating technical AI capabilities into measurable business value.

Note: The university presents the programme as a flexible 30-credit coursework degree rather than a fixed year-by-year curriculum. The descriptions above summarise its published subject areas and learning objectives.

Focus Areas

Applied artificial intelligence, machine learning, neural networks, natural language processing, large language models, generative AI, computer vision, predictive analytics, business intelligence, data-driven decision-making, AI strategy, business process automation, digital transformation, AI implementation, technology management, ethical AI, and strategic business management.

Learning Outcomes

• Apply artificial intelligence technologies to solve complex business problems and improve organisational performance.

• Develop an understanding of machine learning, neural networks, and predictive analytics.

• Understand natural language processing and large language models and their applications in business.

• Evaluate generative AI tools and identify opportunities for business innovation and automation.

• Apply computer vision and other emerging AI technologies to practical business challenges.

• Analyse the potential business impact of AI implementation and technology-driven initiatives.

• Develop strategies for integrating AI solutions into organisational operations and decision-making.

• Evaluate ethical considerations, risks, and challenges associated with artificial intelligence.

• Demonstrate leadership skills to manage AI adoption and digital transformation across organisations.

Professional Alignment (Accreditation)

The Alfred Lerner College of Business and Economics has maintained AACSB International (Association to Advance Collegiate Schools of Business) business accreditation since 1966. AACSB accreditation is internationally recognised for its rigorous standards in business education, academic quality, faculty excellence, and continuous improvement.

The M.S. in Applied Artificial Intelligence for Business is also a STEM-designated programme, emphasising technical proficiency, quantitative analysis, artificial intelligence, and data-driven business decision-making.

Reputation (Employability Rankings)

• Graduate Employment: According to Lerner College's 2025 graduate outcomes, 91% of its master's-level graduates were employed after graduation, with an average salary of $88,005. These figures represent master's graduates collectively and are not specific to this programme.

• Industry Relevance: The programme addresses the growing use of artificial intelligence in finance, marketing, operations, human resources, customer service, and business management.

• Career Opportunities: Graduates can pursue opportunities in technology companies, financial institutions, consulting firms, healthcare organisations, multinational corporations, and businesses adopting AI-driven solutions.

• Potential Career Roles: AI Product Manager, Artificial Intelligence Business Analyst, AI Strategy Consultant, Business Intelligence Manager, Data Strategist, Machine Learning Business Analyst, Digital Transformation Manager, AI Solutions Consultant, Technology Project Manager, and Business Automation Manager.

• Career Support: Lerner Career Services provides personalised career guidance, professional development opportunities, and connections with employers. Students can also benefit from the college's network of more than 40,000 alumni.