Data Analytics (MSc)
A comprehensive Master's programme in modern data science, machine learning, and big data technologies.
Best for:Best for students with a strong background in computer science, mathematics, or statistics seeking a research-oriented career in data analytics.
Overview
The international Master's programme in Data Analytics at the University of Hildesheim provides rigorous training in state-of-the-art machine learning, big data technologies, and statistical analysis. Students gain deep expertise in analytical methods and practical skills to model complex systems across diverse sectors such as business, computer science, and environmental studies. The curriculum integrates theoretical foundations with industry-oriented applications, including a year-long research project and specialized methodological modules. Graduates are prepared to address real-world challenges through an interdisciplinary approach that combines core data science training with specific application domains.
What you'll do
- Complete core modules in machine learning, big data analytics, and optimization techniques.
- Conduct an independent, year-long research project under faculty supervision.
- Apply analytical methods to interdisciplinary domains such as business, psychology, or climate science.
- Develop and implement complex data models using advanced programming skills.
- Participate in seminars and lab courses focused on distributed data analytics and data privacy.
- Author a Master's thesis in the final semester demonstrating mastery of the field.
Requirements
Degree required: Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related field.
Degree offered: MSc
Language: English; B2 level (e.g., IELTS 6.0 or TOEFL iBT 61).
Instruction: English
- Strong analytical and mathematical foundation.
- Proficiency in statistical analysis.
- Demonstrable programming skills.
- English language proficiency at B2 level or higher.
- Bachelor's degree in a relevant quantitative field.
- Admission is competitive and based on Bachelor's GPA, relevant coursework, and prior research/practical experience.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through the official university portal. Deadlines vary by semester and applicant origin (EU vs. non-EU).
- Bachelor's degree certificate
- Academic transcripts
- English language proficiency certificate
Contact
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