Student Portrait: Tuan Anh Nguyen – Books instead of Jumpers

2021-02-15 The business informatics specialist has been studying the Master's programme Data Science at the Professional School part-time since last year.

[Translate to Englisch:] Tuan Nghuyen stands in front of a red wall in a black jumper. ©privat
Tuan Anh Nguyen is happy to spend the extra time: "I've always preferred to invest in books instead of jumpers."

Tuan Anh Nguyen did not complete his Bachelor's degree after the regular six semesters. He took longer because he wanted to learn more: "Instead of 180, I collected 240 CPs," explains the Hamburg native. After his exams at the University of Hamburg, he switched to professional practice to learn which methods are relevant in business informatics. He first analysed data for banks to convict tricksters. Later, he switched to Deutsche Bahn, where he now uses large data sets to search for causes of delays, for example, or plans the deployment of special trains using machine learning. A challenging task: "I realised that my knowledge from my bachelor's degree was no longer sufficient in some cases. I know the programmes, but I wanted to go further in depth."

Tuan Anh Nguyen informed himself about study programmes in Data Science that accompany his career: "It is an advantage if you have already worked. You know exactly what knowledge is in demand." Leuphana met his criteria. Last year he began his part-time studies: "Now I not only understand the algorithms, I can also optimise them," says Tuan Anh Nguyen. The lecturers convince him: "Some, for example, collected data in large companies for their doctoral thesis and can now present concrete case studies from practice. I often know the problems behind the examples, but only now do I understand how I have to apply certain algorithms and programmes to get optimal results," the student reports. In terms of subject matter, the students in the part-time Master Data Science are broadly positioned: Participants acquire methodological basics and skills to exploit the potential of complex data sets and use them profitably in organisations. In three semesters, knowledge in the field of data analysis is deepened. Using modern IT infrastructures, students learn to process and analyse large complex data sets with advanced and current methods of data analysis and machine learning - such as deep neural networks or probabilistic graphical models.

His employer grants him time off for his studies and Tuan Anh Nguyen is happy to spend the extra time: "I've always preferred to invest in books instead of jumpers."