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  • Home
  • World-Class Professors
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  • Bespoke Course
  • Complaints Policy
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    • World-Class Professors
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    • Bespoke Course
    • Complaints Policy
Enrol
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    Business & Finance

     

     

     

  • Course Structure

    Upon completing the foundation module, students will choose one of four tracks to delve deeper into the effects of AI and data science on society and innovation. The course includes group study, PBL method and a group project.

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    I. Foundation module

    Students will choose Machine Learning or Data Science module to build a foundation for subsequent studies.

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    II. Application track

    Students will choose from one of the subjects to start their PBL research journey.

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    III. Academic Literacy Module

    A well-established research literacy programme will provide students with effective guidance at every key point.

  • Duration:

    4 weeks

    Contact Hours:

    52 hours

    Evaluation:

    Quiz, Project Report, Group Presentation

    Outcomes:

    Programme Certificate, Evaluation Report, Letter of Recommendation

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    AI/Data Science & Society

    Understand what constitutes diverse creativities and AI/Data Science, and consider how they will affect society in the years to come.

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    Doing & Thinking Differently

    Become familiar with various ways of being, doing and thinking differently.

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    AI/Data Science & Applications

    Discuss applications of AI/Data Science where AI/Data Science techniques are applicable.

  • Choose One of the Four Tracks

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    Big Data & Financial Technology

    Businesses use AI and big data technologies to improve decision making, pattern analysis, and predictions. Blockchain, originally developed for Bitcoin, is a decentralised database technology that maintains a reliable database through decentralisation and de-trusting. It does not rely on a third party and will have a significant impact on the future business world.

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    Business Analysis & Entrepreneurship Innovation

    Businesses use AI technology to improve decision making, pattern analysis, and predictions. AI is also impacting daily life by managing health and well-being, securing finances, and curating access to entertainment. There are many high-growth businesses that have emerged using AI innovations, such as Deepmind and JukeDeck. In the future, it is likely that every new business will rely on AI to be viable.

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    Quantitative Finance & Investment

    Quantitative finance is a key development in financial engineering. It has rapidly improved and matured from academic to practical use worldwide, and is widely used in securities, insurance, banks and government regulatory departments. In China, it is becoming increasingly prevalent in the financial industry due to reforms, innovation, and the development of computer science.

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    Leadership & Business Management

    The use of AI will greatly increase in the coming decade as industries transform to take advantage of its capabilities. Business leaders need to understand and take advantage of the opportunities AI offers. AI applications in business can improve relationships, find patterns, and perform repetitive tasks. Embracing AI in business can lead to individual and organisational success.

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    Allison L, USA

    "One of my biggest takeaways is that project-based learning is an excellent method for learning! Before this program, I didn't know much about investment and finance, but PBL gave me a way to learn new things while getting help from my team. It was a fantastic learning experience."

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    Somi J, South Korea

    "Participating in this programme not only gave me academic inspiration and knowledge, but also taught me a lot about how to study, think differently, and deliver presentations. These experiences have changed my perspective on projects and how to work on them. I believe that this knowledge, along with the academic knowledge I gained, will be very useful in my future studies or career."

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    Luke M, China

    "I have three words to share: inspiring, interaction, and interchange. It was truly a student-centric experience.

    There was a lot of collaboration with my small group during the course, and I formed deep friendships with other fellows during supervisions and social activities."

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