AI, Fintech & Deep Tech in Finance and Business

About the course

Subjects

Project management Change management Innovation Accounting Financial management

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).

Literacy in fintech Applications of AI, machine learning, algorithms, and quantum computing in corporate and entrepreneurship

Identify, explain, discuss methods in AI, deep learning, and other deep technologies as they relate to finance and business.
Analyze, interpret, and evaluate how AI, machine learning, and emerging technologies are used in financial and corporate decision-making, including for risk management, marketing, and operations.
Evaluate, present, and discuss the strategic, ethical, and regulatory challenges that arise from the implementation of these technologies.
Synthesize knowledge from various sources to develop a practical implementation plan for an AI solution and deep tech within a business context.

High school mathematics, general interest in finance, technology and management.

Level

Bachelor

Type

Elective

ECTS

7.5

Code

BHAAI1115U

Teaching periods

Summer

Academic year

2025/2026

Status

Available places

Teaching language

English

Teaching Format

On campus

Exams

Assessment type

Academic areas for master admission:

The course covers: