Health | Communication | Human-Technology Interaction

English Modules and Classes
| Lecturer | Silke Riegler |
| Type of course | Course with reflection afterwards |
| Certificate | Certificate of participants |
| Semester | Winter Semester/ Summer Semester |
| Date and Registration | 13.11.2026 via Email to incoming@haw-landshut.de (places are limited) |
| Admission Requirements | B2 Level of English |
| Format | On-site Hochschule Landshut and online reflection afterwards |
| Objectives | This course is designed to give you an appreciation of the proper use of statistics and statistical terms that may be encountered in textbooks, magazines, journals, and on radio and television. Interpretation of results is just as important as the computation of results. Successful completion of this course will enable you to:
Contents of the module: The fundamentals of modern statistical methods, descriptive and inferential statistics, probability and sampling; primarily for students in fields other than mathematics who need a working knowledge of statistics. |
Start your studies successfully in Germany
Starting your studies in a new country can be exciting—but also challenging.
Different expectations, communication styles, and everyday situations can quickly lead to confusion or frustration.
Our intercultural training helps you avoid these challenges from the very beginning.
You will gain practical knowledge, build confidence, and feel more prepared for your academic and social life in Germany.
The training is led by an experienced intercultural trainer with extensive expertise in working with international students.
Next training: 13 November 2026 – Register now!
Why participate?
- Understand German culture faster and feel more confident in everyday situations
- Avoid misunderstandings with lecturers, classmates, and in group work
- Improve your academic success by knowing what is expected in German universities
- Find your way more easily in daily life (housing, healthcare, mobility)
- Build connections early and meet other international students
- Deal better with culture shock and uncertainty
- Benefit from guidance by professional intercultural trainers
- Receive a certificate of participation
Training topics
- Understanding Germany: culture, communication styles, feedback
- Studying in Germany: expectations, teamwork, self-organisation
- Daily life: housing, mobility, healthcare
- Social integration: friendships, culture shock, networking
- Working culture: teamwork, expectations, part-time jobs
Training format
- Duration: 1-day training (approx. 6 hours)
- Time: 13:00 – 19:00
- Group size: max. 20 participants (interactive setting)
- Location: Hochschule Landshut
- Language: English
- Participation: free of charge
- Includes certificate (no ECTS credits)
- In addition, a 2-hour reflection session will take place after the training. The exact date will be scheduled directly with the participants.
| Lecturer | Dr. Bernarad Omolo |
| Type of course | Seminar |
| ECTS credits | 2 |
| Semester | Winter Semester |
| Module Number | SG246 |
| Admission Requirements | B2 Level of English |
| Format | Online |
| Objectives | This course is designed to give you an appreciation of the proper use of statistics and statistical terms that may be encountered in textbooks, magazines, journals, and on radio and television. Interpretation of results is just as important as the computation of results. Successful completion of this course will enable you to:
Contents of the module: The fundamentals of modern statistical methods, descriptive and inferential statistics, probability and sampling; primarily for students in fields other than mathematics who need a working knowledge of statistics. |
| Lecturer | Bill Field |
| Type of course | Seminar / Excercise |
| ECTS credits | 2 |
| Semester | Winter Semester |
| Module Number | F114 |
| Admission Requirements | B2 Level in English |
| Format | On Campus |
| Objectives | Throughout the course, students:
|
Online Course - Sustainable Technologies
| Lecturer | Bill Field |
| Type of course | Online Seminar |
| ECTS credits | 2 |
| Semester | Winter + Summer Semester |
| Module Number | F154 for B2 or F131 for C1 |
| Admission Requirements | B2 Level in English |
| Format | Online over VHB platform |
| Objectives | F154, B2 level
F131, C1 level After successful completion of this course, students are able to communicate competently in written forms at a lower-advanced level (Language level C-1 according to the Common European Framework for Languages). The primary goal of this course is to deepen students comprehension of the course subjects, renewable energy, smart buildings and electric mobility (e-mobility) with a focus on enabling students to clearly communicate opinions about these subjects in English. This course will not only deepen their knowledge of the subject material in English, but provide participants with the language skills to succeed in more advanced English academic courses of a related nature. |
Online Seminar - International Project Management (VHB)
| Lecturer | Silke Riegler |
| Type of course | Online Seminar |
| ECTS credits | 2 |
| Semester | Winter + Summer Semester |
| Module Number | F974 |
| Admission Requirements | B2 Level in English |
| Format | Online |
| Objectives | Throughout the course, students:
|
The University of Applied Sciences Landshut offers a german language course for all foreign students who are keen on learning german.
Beginners' courses are always offered in both the summer and winter semesters. Overall, the levels will be adapted to the needs of the students from the respective semester.
Please note that not all levels can always be available due to our capacities.
We offer various English courses for C1 level with different topics on campus. Each course has 2 ECTS.
You can find the current semester programme here.
Overview:
- F105 A Presentations & Debating
- F-102 B Grammar in Context
- F-103 C Academic Writing
- F-104 D Reading & Listening
- F107 Technical Orientation, A Economic and Operational Business Analysis
- F126 B Economic and Operational Business Analysis