
Master of Business Administration (MBA) - Artificial Intelligence and Machine Learning Leadership







About Master of Business Administration (MBA) - Artificial Intelligence and Machine Learning Leadership
- respond strategically to business challenges and opportunities.
- assess ethical implications of business activities.
- develop, implement and evaluate solutions to business problems.
- formulate business decisions and systematic analysis that reflects critical thinking.
- demonstrate effective skills to collaborate with diverse groups of people.
- lead teams through the resolution of problems and successful completion of projects and tasks.
- integrate personal values and perspectives into problem solving and take responsibility for decisions.
- communicate ideas persuasively (written and oral) as a result of a thorough analysis of information.
- gather, analyze, and synthesize information for a business context.
The Specialization in Artificial Intelligence and Machine Learning Leadership equips graduates with strategic, ethical, and innovative leadership skills to navigate the rapidly evolving AI landscape and apply the Artificial Intelligence principles in Business.
This specialization combines business management principles with technical AI and machine learning concepts. Additionally, it familiarizes graduate students with the leadership dynamics such as change management, negotiation, and decision-making required for STEM professionals to successfully manage and lead Artificial Intelligence projects.
Students may choose electives from a variety of fields, including Human Resources, Financial Management, Digital Marketing, Leadership, Project Management, and Entrepreneurship (see descriptions below). Each elective area consists of carefully designed courses that build specialized knowledge and practical skills, complementing the core MBA curriculum.
Electives are available in Term 3 and Term 4, with prerequisites to ensure students are prepared for advanced coursework. Students are encouraged to select electives based on their career objectives and consult with academic advisors for guidance.
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