PhD / Doctorate Data Science Full Time

PhD Programme in Data Science (PDS)

at University of Göttingen · Göttingen, Lower Saxony

Duration

6 semesters

Tuition

No tuition fees

Intake

Any time

Mode

Full Time

About this program

The PhD Programme in Data Science at the University of Göttingen offers an in-depth exploration of data analytics, machine learning, and statistical methodologies. This comprehensive program is designed to equip students with advanced skills in data manipulation and analysis, preparing them to tackle complex data-related problems across various sectors.

Structured over six semesters, the PhD program involves intensive research modules and collaborative projects, culminating in a dissertation that contributes original knowledge to the field of data science. The program emphasizes practical application, allowing students to engage with real-world data sets, fostering a deeper understanding of theoretical concepts.

Students will gain key competencies in programming, data management, and critical analysis, along with the ability to communicate complex data findings effectively. The program is particularly suited for individuals who possess a strong quantitative background and a passion for research, looking to push the boundaries of data science.

Entry requirements

English: Taught in English.

International students: Non-EU applicants need a German national student visa (Visa D) and proof of funds (usually a blocked account). Check the programme page for the exact language certificate and document list.

Career outcomes

Data Scientist in technology firms
Research Analyst in academic institutions
Machine Learning Engineer in healthcare
Data Consultant in financial services
Statistician in government agencies

Frequently asked questions

How long is the PhD Programme in Data Science (PDS) at University of Göttingen?

It typically takes 6 semesters, with intakes in Any time.

How much is the tuition?

Tuition is around No tuition fees. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Scientist in technology firmsResearch Analyst in academic institutionsMachine Learning Engineer in healthcareData Consultant in financial servicesStatistician in government agencies

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