Graduates of our master programs usually follow careers in industry and academia. Students have the opportunity to carry out research for their final thesis with a company in the course of an internship, which can serve as a good stepping stone for a career in industry. We entertain a good relationship with companies and organize regular networking events, such as the Meet and Greet event of 2019.
Some Graduates of Human Language Technology:
- Benedetta Torsi (business analyst for Deloitte)
- Karen Goes (NLP Data Scientist)
- Liza King
- Pia Sommerauer (PhD student)
- Chantal van Son (PhD student and data scientist at OKRA)
- Femke Klaver
Check out theses projects of recent and soon-to-be graduates here.
Graduates of Text Mining:
… will follow soon.
What our (soon to be) graduates say:
Human Language Technology student, currently finishing up her thesis project at MyTomorrows.
Human Language Technology program may be of interest to many linguists looking for new challenges in the world of modern technologies. During my master’s degree, I learned how machines see human language and what we can do to help them make sense out of it. The curriculum includes learning computer programming from scratch, which is very beneficial for students without any background in computer science. This program has certainly broadened my horizons and allowed me to gain the proper set of skills to work in the field of language technology.
Graduated from Human Language Technology in 2019 and currently works as an NLP Data Scientist.
The research master Human Language Technology is a very broad and yet also very specific study. It has taught me everything I need to know about natural language processing, programming and machine learning for my current job as a NLP data scientist. It teaches you all the different aspects of natural language processing and the skills to participate in projects from start to finish.
Graduated from Human Language Technology in 2018 and currently works as a Business Analyst.
The program opened my eyes to the various and exciting applications of language modeling and text mining. The lecturers were contagiously passionate about the subject. They offered steady guidance, but also gave freedom to explore and experiment.
After graduating I was left with a strong will to apply what I had learned, but also to expand my knowledge on the topic. I decided to take more NLP-related courses and I eventually decided to pursue a career in Data Science. Since September, I’ve had the opportunity to work as a business analyst for Deloitte, which is a great step in that direction.