BSc In Medical Informatics
Wrocław, Poland
DURATION
7 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 1,500 / per semester **
STUDY FORMAT
On-Campus
* application system will be open from 3 June 2024
** application fee 20 EUR.
Key Summary
Introduction
There is a growing demand for biomedical engineers with interdisciplinary knowledge of medicine, computer science, and medical devices. Such a background is indispensable to meet the demands of the rapidly changing healthcare system, which strives to accommodate the needs of patients and healthcare personnel. This specialty is addressed to inquisitive students interested in biomedical applications of artificial intelligence, big data, mobile and wearable devices, augmented and virtual reality. We encourage students to carry out their research projects or join one of several students’ science clubs. Medical Informatics (MI) focuses on technologies, that impact patient-doctor relationships by effectively collecting, securing, and understanding health data, thereby supporting medical diagnosis and treatment. The courses in this study program are oriented towards these practical aspects of MI.
Admissions
Curriculum
Obligatory Courses
IT Courses
- Databases
- Introduction to Object-Oriented Programming
- Introduction to Programming
- Mobile Application Development
- Modelling of Biological Systems
- Network Technologies
- Numerical Methods
- Programming in Python
- Software Engineering
General Courses
- Academic Writing
- Algebra and Analytic Geometry
- Anatomy for Biomedical Engineers
- Introduction to Biomedical Optics and Biophotonics
- Biochemistry
- Biophysics
- Mathematical Analysis
- Medical Imaging Techniques
- Legal and Ethical Aspects in Biomedical Engineering
- Physics
- Principles of Chemistry
- Principles of Organic Chemistry
- Propaedeutics of Medical Sciences
- Statistics and Probability Theory
Engineering Courses
- Conversion and Analysis of Non-electrical Signals
- Digital Signal Processing
- Electromedical Instrumentation
- Introduction to Medical Electronics
- Measurement systems
- Microcontrollers
Optional Courses
- Advanced Imaging Techniques
- Artificial Intelligence
- Complex Systems
- Computer Graphics
- Computer Science in Medicine
- Elements of Nonlinear Dynamics
- Introduction to Bioinformatics
- Statistical Methods in Bioengineering
- Time Series Analysis
Career Opportunities
Graduates can work for:
- IT companies
- Hospitals and Healthcare units
- Medical Device companies
- R&D companies