Master's Program

MSc AI for Finance & FinTech

24 months · 120 ECTS · Online/Hybrid · Practitioner faculty

Program Overview

MSc AI for Finance & FinTech

Master algorithmic finance, RegTech AI, fraud intelligence, and explainable risk systems for global markets.

Unlike traditional masters that treat AI as an elective, PRAKTIX weaves AI into EVERY module — sector-specific application labs, Only Experts content, interactive gamified learning paths, and connections to PRAKTIX's global employer network.

This 24-month program (120 ECTS) spans 4 semesters with 8–10 modules, a research thesis, and a sector capstone project. Learn from practitioner faculty who ship AI in production — not theory alone. Choose standard, interactive (gamified), or hybrid learning modes.

PRAKTIX MSc pricing is ~10% below comparable European online masters (benchmark €15,000/year programs → PRAKTIX €13,500 total).

Curriculum — 4 Semesters

9 modules · 24 months (120 ECTS) · 120 ECTS · Thesis + capstone

Semester 1 — AI Foundations & Research Methods

Machine learning fundamentals, Python for AI, research design, and academic writing for MSc thesis.

Python PyTorch Research methods

Semester 1 — Sector Context & AI Landscape

Industry-specific AI applications, regulatory context, and employer network introduction.

Case studies Only Experts Sector labs

Semester 2 — Advanced AI Methods

Deep learning, model evaluation, MLOps basics, and production deployment patterns.

Deep learning MLOps Eval frameworks

Semester 2 — Gamified Applied Labs

Interactive sector simulations with XP rewards — choose standard, interactive, or hybrid paths.

PRAKTIX gamification Simulations Peer review

Semester 3 — Algorithmic Finance & Risk AI

Trading assistants, credit models, and explainable AI for finance.

Python XGBoost SHAP RegTech

Semester 3 — Fraud Detection & Financial Crime

Real-time anomaly detection, AML automation, and graph analytics.

Graph analytics Streaming ML Case management

Semester 4 — Research Thesis

Thesis: AI Applications in Finance & Risk Management — supervised research with academic rigor and industry relevance.

Research Academic writing Supervision

Semester 4 — Capstone: RegTech AI Risk & Innovation Portfolio

Industry capstone with mentor support, portfolio evidence, and employer network presentation.

Capstone template Mentor review QR credential

Semester 4 — Employer Network & Career Launch

Global employer connections, portfolio review, and career placement support.

Employer network Portfolio review Career coaching

Thesis: AI Applications in Finance & Risk Management

Supervised research project with academic rigor and industry relevance — mentored by practitioner faculty.

Capstone: RegTech AI Risk & Innovation Portfolio

Industry capstone with portfolio evidence and presentation to PRAKTIX employer network partners.

Learning Outcomes & Career Paths

Master deep AI methods with sector-specific application across 4 semesters (120 ECTS)
Complete a research thesis and industry capstone with mentor support and portfolio evidence
Earn PRAKTIX MSc credential with +3600 XP and verified global employer network access
Deploy production-ready AI solutions aligned with EU AI Act and responsible AI standards

FinTech AI Analyst Quantitative Researcher Risk AI Lead

Expert Faculty

Practitioner faculty and Only Experts content — industry leaders who ship AI in production.

Fatima Al-Rashid

PRAKTIX Expert · Industry Practitioner

Luca Bianchi

PRAKTIX Expert · Industry Practitioner

Kenji Watanabe

PRAKTIX Expert · Industry Practitioner

Admission Requirements

Bachelor's degree (180 ECTS) in a relevant field or equivalent professional qualification
English proficiency (B2 minimum) for live sessions and thesis writing
Basic programming or domain experience recommended — foundation modules provided
Commitment to complete thesis/capstone and employer network presentation