AI, Fintech & Deep Tech in Fin­ance and Busi­ness

About

The pedagogical approach is to get students to understand the dynamic landscape of technological development in the context of maximizing the efficiency of technology use in the emerging corporate infrastructure. This will include the evolution of how technology is used, to set an agile learning platform to allow students to navigate emerging and future technology.

Feedback during the teaching period
Continuous feedback is provided to students such that they can get a better understanding of the concepts covered in the course and learn how to apply them via polls, quizzes and problem-solving.
This continuous feedback is a key cornerstone of the learning process in the course.

Week 1: AI Fundamentals & Financial Applications
Defining AI, machine learning, and deep learning.
Case studies on AI for credit scoring, risk assessment, and algorithmic trading.
The role of NLP for market analysis and sentiment analysis.

Week 2: Deep Tech & Business Transformation
Generative AI for business operations and marketing.
AI applications in supply chain optimization.
The intersection of blockchain, digital assets, and AI.

Week 3: Strategic Implementation & Emerging Tech
Developing an AI-first business strategy.
Ethical and social implications of AI (bias, privacy, jobs)

Course leader

Rama Seth - Department of Finance (FI)

Target group

This is a bachelor level course. CBS Summer University courses at Copenhagen Business School is open to all and welcomes domestic and international students as well as professionals

Fee info