Program Overview

Program Overview

The Management and Artificial Intelligence MSc program at the University of London is designed to equip students with the knowledge and skills necessary to succeed in the rapidly evolving field of artificial intelligence and its applications in management. This program aims to provide students with a comprehensive understanding of the theoretical and practical aspects of artificial intelligence, as well as its integration with management principles.

Program Structure

The program is structured to provide students with a solid foundation in both management and artificial intelligence. The curriculum includes a range of modules that cover topics such as machine learning, data analytics, and business strategy. Students will also have the opportunity to engage in research projects and collaborate with industry partners to apply their knowledge in real-world settings.

Admission Criteria

To be eligible for the program, applicants must meet the following criteria:

• Hold a bachelor's degree in a relevant field, such as computer science, mathematics, or business administration.
• Demonstrate a strong understanding of programming concepts and data analysis techniques.
• Provide evidence of English language proficiency, as the program is taught in English.

Tuition Fees

The tuition fees for the program vary depending on the student's residency status and the mode of study. The fees are as follows:

• For UK residents: £10,000 per year for full-time study and £5,000 per year for part-time study.
• For international students: £20,000 per year for full-time study and £10,000 per year for part-time study.

Research Areas

The program focuses on several key research areas, including:

• Artificial intelligence and machine learning
• Data analytics and business intelligence
• Digital transformation and innovation
• Management and leadership in the digital age

Career Opportunities

Graduates of the Management and Artificial Intelligence MSc program will be well-equipped to pursue a range of career opportunities in fields such as:

• Business analytics and consulting
• Artificial intelligence and machine learning engineering
• Digital transformation and innovation management
• Management and leadership in technology-driven organizations