Master's Program

MSc Data Science & AI Analytics

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

Program Overview

MSc Data Science & AI Analytics

Advanced analytics, MLOps, and AI-driven decision systems for data-intensive organizations.

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 — Advanced Analytics & Statistical ML

Causal inference, Bayesian methods, and experiment design.

Statsmodels Causal ML A/B testing

Semester 3 — AI Decision Systems & Dashboards

Decision intelligence, automated reporting, and executive analytics.

Dashboards AutoML Decision engines

Semester 4 — Research Thesis

Thesis: Data Science & AI Analytics Research — supervised research with academic rigor and industry relevance.

Research Academic writing Supervision

Semester 4 — Capstone: AI Analytics Platform & Decision Dashboard

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: Data Science & AI Analytics Research

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

Capstone: AI Analytics Platform & Decision Dashboard

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

Senior Data Scientist Analytics Director Decision Intelligence Lead

Expert Faculty

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

Dr. Elena Richter

PRAKTIX Expert · Industry Practitioner

James Okafor

PRAKTIX Expert · Industry Practitioner

Sophie Laurent

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