Business & Finance
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.
I. Foundation module
Students will choose Machine Learning or Data Science module to build a foundation for subsequent studies.
II. Application track
Students will choose from one of the subjects to start their PBL research journey.
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
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.
Doing & Thinking Differently
Become familiar with various ways of being, doing and thinking differently.
AI/Data Science & Applications
Discuss applications of AI/Data Science where AI/Data Science techniques are applicable.
Choose One of the Four Tracks
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.
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.
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.
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.
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."
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."
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."
Learn More
Course Structure
Build Your Project-Based Learning Experience
I. Foundation Track
Students will choose Machine Learning or Data Science module to build a foundation for subsequent studies.
II. Application Track
Students will choose from one of the above subjects to start their PBL research journey.
III.Academic Literacy Module
A well-established research literacy programme to provide students with effective guidance at every key point.
For hundreds of years, new materials were discovered through trial and error, or luck and serendipity. Now, scientists are using artificial intelligence to speed up the process.
We can use databases and computations to quickly map out exactly what makes a material so much stronger or lighter — and that has the potential to revolutionize industry after industry.
Syllabus
- Introduction to Quantum Mechanics and How to use it
- Specific examples of the application of Quantum principles
- Quantum technologies & Quantum computing
What you will learn
- Understand the basic principles of Quantum Mechanics
- Be able to perform simple calculations predicting the behavior of quantum systems
- Appreciate the principle of operation of quantum computers
- Have an understanding of how quantum computers are built and used
Academic Support
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Instructor:
Prof. Raghu Rau
Category:
STAME
Age:
16-18
Course features
Duration: 2 weeks
Max Retakes: 3
Pass Percentage: 90
Lessons: 9
Quizzes: 2
Certificates:
Programme Certificate
Evaluation Report
Recommendation Letter
What’s life like at a world-renowned university that can trace its roots back to 1209? Join us to find out!
An unstoppable trend
Driven by the combination of increased access to data, computational power, and improved sensors and algorithms, artificial intelligence (AI) technologies are entering the mainstream of technological innovation. These AI technologies are already impacting multiple industries, including fintech, deep learning, new materials, healthcare, international policy making, and blockchain.
The course is an introduction to AI from an applied perspective. It begins by introducing basic concepts in machine learning. After an introduction of basic concepts and techniques, the course illustrates the potential and current limitations of these techniques with examples from various applications. Students will explore these ideas in a final project.
Course Features
Duration:
4 weeks
Contact Hour:
52 hours
Evaluation:
Quiz, Project Report, Group presentation
Outcome:
Programme Certificate, Evaluation Report,Letter of Recommendation
Submit an application
Fill out the application form and submit it along with the supplementary materials to help with the process.
Review of the materials
The admission team reviews the application materials and assesses the applicant's qualifications.
Acceptance of offer
If the applicant is accepted, an offer letter will be sent out with clear guidance on the next steps.
Contracting and Payment
Review and e-sign the programme contract; then, proceed with and complete the payment step
Prepare to depart!
Prepare for the programme by getting all necessary documents and making travel arrangements.
Ellison 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."
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."
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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