Singapore University of Social Sciences

AI Concepts and Applications for Business Leaders

AI Concepts and Applications for Business Leaders (MGT577)

Applications Open: To be confirmed

Applications Close: To be confirmed

Next Available Intake: To be confirmed

Course Types: To be confirmed

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Management

Schemes: To be confirmed

Funding: To be confirmed

School/Department: School of Business


Synopsis

MGT577 AI Concepts and Applications for Business Leaders is a comprehensive course designed to demystify artificial intelligence for non-technical professionals. The course begins with an introduction to AI, covering its history, key concepts, and current trends. Participants will then delve into the core technologies and techniques of AI, such as machine learning, deep learning, and natural language processing. The course emphasises strategic implementation, guiding business leaders on how to identify AI opportunities, plan and manage AI projects, and integrate AI into their operations. Ethical considerations are a crucial part of the curriculum, addressing issues of bias, fairness, privacy, and regulatory compliance. Industry-specific applications are explored through case studies in finance, healthcare, retail, manufacturing, supply chain, marketing, and customer service, showcasing successful AI implementations and lessons learned. The course concludes with a look at future trends and innovations in AI, preparing participants for AI-driven changes in the business landscape. By the end of the course, participants will be equipped with the knowledge and insights needed to leverage AI for strategic advantage, drive innovation, and make informed decisions in their organisations.

Level: 5
Credit Units: 2.5
Presentation Pattern: EVERY JAN

Topics

  • Introduction to Artificial Intelligence
  • AI Technologies and Techniques
  • Strategic Implementation of AI
  • Ethical and Responsible AI
  • Industry Applications of AI
  • Future Trends and Innovation in AI

Learning Outcome

  • Appraise the fundamental concepts and technologies of artificial intelligence, including machine learning, deep learning, and natural language processing.
  • Assess the ethical and societal implications of AI, considering issues such as bias, privacy, and regulatory compliance.
  • Propose strategic AI initiatives and projects within various business contexts, identifying opportunities for innovation and efficiency.
  • Evaluate real-world case studies of AI applications across different industries, drawing lessons and best practices for effective implementation.
  • Design strategic plans for integrating AI technologies into business operations to enhance efficiency and drive innovation.
  • Create actionable AI implementation frameworks tailored to specific industry needs and organisational goals.
  • Improve decision-making processes by leveraging AI insights and data-driven analysis to solve complex business challenges.
Back to top
Back to top