Course Structure:

Semester 1 Modules:

Programming 1

Introduction to Computer Science

Mathematics 1

Probability and Statistics

Introductory Project

Semester 2 Modules:

Programming 2

Introduction to Computer Science 2

Mathematics 2

Algorithms for AI 1

Scientific Research Methods

Semester 3 Modules:

Software Engineering

Web Technologies

Optimization Algorithms

Algorithms for AI 2

Data Visualization and Data Analytics

Semester 4 Modules:

Database Systems and Big Data Technologies

Spoken and Natural Language Understanding

Computer Vision

Algorithms for AI 3

Seminar

Semester 5 Modules:

Pre-Internship Seminar

Internship

Post-Internship Seminar

Semester 6 Modules:

Cyber Security

Human-Computer Interaction and Explainable AI

Business Administration and Entrepreneurship

Project Management

Project

Semester 7 Modules:

Ethics and Law

Elective

Elective

Bachelor's Thesis and Seminar

Perspectives & Job Prospects

Graduates with a Computer Science or AI degree are sought wherever information is stored, processed and transmitted - nowadays in all industries, enterprises, and organizations. The career prospects on the job market are correspondingly good. IT all-rounders are just as much in demand assai specialists.

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Graduates are primarily prepared for specialist and managerial tasks in the following areas:

Software development, AI development, Data Science applications, Cloud development, IT project management, IT consulting, training.

Language Knowledge Required

All modules in this program are taught in English.

Recommended B2-level:

In order to be able to follow the courses, we recommend English proficiency level B2 or above (according to CEFR)

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