Master's Program

MSc Computer Vision & Multimodal AI

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

Program Overview

MSc Computer Vision & Multimodal AI

Develop computer vision and multimodal AI systems for robotics, media, healthcare imaging, and autonomous platforms.

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 — Computer Vision Architectures

Object detection, segmentation, and video understanding pipelines.

YOLO Segment Anything OpenCV

Semester 3 — Multimodal AI Systems

Vision-language models, audio-visual fusion, and cross-modal retrieval.

CLIP Multimodal transformers Embeddings

Semester 4 — Research Thesis

Thesis: Computer Vision & Multimodal AI Research — supervised research with academic rigor and industry relevance.

Research Academic writing Supervision

Semester 4 — Capstone: Multimodal AI System for Real-World Deployment

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: Computer Vision & Multimodal AI Research

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

Capstone: Multimodal AI System for Real-World Deployment

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

Computer Vision Engineer Perception Lead Multimodal AI Researcher

Expert Faculty

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

Paul Hellwig

PRAKTIX Expert · Industry Practitioner

Nadia El-Masri

PRAKTIX Expert · Industry Practitioner

James Okafor

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