General and Digital Forensic Science
|Faculty||Applied Computer Sciences and Biosciences|
|Course of studies||General and Digital Forensic Science|
|Academic degree||Bachelor of Science|
|Regular study period||6 Semesters|
|Type of study||
Computers, the Internet and digitalization have created new fields of activity for criminals. Use the tools of computer science to solve or prevent them.
The focus of the course is on linking and analyzing digital and digitized forensic data. You will learn to methodically evaluate, analyze and interpret the data secured by investigators during traditional crime scene work or digitally, so that it can also be used as evidence in criminal proceedings in court.
In addition to extensive computer science knowledge, you will acquire and deepen fundamental scientific knowledge and methods for modeling and simulating complex systems in the field of modern forensics.
Without informatics, nothing works in modern casework. Those who know how to use it can become sought-after experts for police, courts and companies.
One of the most important principles of forensics is Locard's Rule: There is no contact between two objects without mutual traces. Finding, securing and analyzing such traces in the digital realm is still a huge challenge for authorities and companies. Digital forensics is a young discipline, and there is a corresponding lack of skilled personnel.
With the specialized knowledge from Mittweida, you will become an IT expert who supports authorities in solving crimes or helps companies and institutions in the field of IT security to prevent them from happening in the first place. For example, you will work as a
- Cybercriminalist at BKA, Junior Cyber Security Analyst at BND, IT Forensics Officer at Bundeswehr,
- Network & IT Security Consultant for companies,
- Software developer for forensics, IT security and biometrics,
- Penetration Tester in IT Security,
- Big Data Analyst for companies in the industry
- Expert witness and forensic service provider for and in investigative authorities (police, public prosecutor's office, customs)
If you want to master modern forensics, you must understand and adapt the methods of classical forensics.
With the help of interdisciplinary modules, you will therefore gain a comprehensive picture of the methods and challenges of modern forensics. In each semester, you will dedicate one module to classical forensics and thus lay the foundation for mastering the challenges of IT forensics.
To do this, you will use computer science as a tool. The new, digital disciplines of forensics are at the center of the program: securing and analyzing digital traces, image processing, data reconstruction, IT security and encryption technology. Topics such as the basics of crime scene work, criminalistics, criminology and classical forensics including forensic biology enable you to transfer the methods to the digital. You will directly apply the knowledge imparted in the lectures in practical exercises.
Working with digital and physical evidence and traces as well as on realistic projects play a central role throughout the entire course of study. Numerous internships and experiments in the various computer pools and laboratories serve to acquire the skills and abilities required for professional life.
Application and admission
You are interested?
The Bachelor's programme starts in the winter semester (from October). To have a chance of getting a place, you must apply in good time. You can find all information about the application deadlines here. The programme is admission-restricted because we have more applicants than places. Therefore, a selection process takes place to find the most suitable applicants.
Register at hs-mittweida.de/bewerben. As soon as you have submitted all forms and supporting documents, you will take part in the selection process for the degree programme. If you get a place, you can enrol online.
You can begin your studies in Mittweida if you have
- the general higher education entrance qualification or
- a subject-related higher education entrance qualification (for the relevant subject area) or
- the entrance qualification for a university of applied sciences.
All information about application deadlines and the required documents can be found here.
If you do not have any of the mentioned degrees, look here for more information.
There is a separate application deadline for international students. Please click here for more information.
A pre-study internship is not necessary for the program. You should have basic knowledge in the use of PCs and current operating systems. Good knowledge of mathematics, biology and English is also an advantage. If you have already had some experience in programming, this is useful but not absolutely necessary.