Services

Consulting

The business application of data and network science methods holds great potential, but also great challenges. We believe that the expertise of our team can assist your organization to overcome the challenges and our comprehensive consulting service will help you to achieve your goals.
We offer comprehensive consulting from identifying statistical, data science, and network science problems in business, human, and social sciences through experimental design and using appropriate mathematical methods, to interpreting the results.

Research & Development

Research collaboration on developing new statistical, data science and network science methods for solving problems emerging in business, human & social sciences, analyzing data, developing predictive analytic models, social network analysis, other quantitative and applied mathematical methods.
Our research revolves around four main areas:
  • network science,
  • educational data science,
  • health data analytics,
  • intelligent monitoring & anomaly detection.

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Education

As a team based in the Institute of Mathematics at the Budapest University of Technology and Economics, we gained great expertise in teaching mathematics for engineering students. Moreover, we are highly involved in teaching data science and statistics (Introduction to Data Science 1, Data Analytics, Business Analytics, Statistics 1). We teach both in Hungarian and English at BME, moreover we also teach data science for US students at the Aquincum Institute of Technology. Our colleagues receive outstanding student evaluations and are listed among the best instructors frequently.
We are dedicated to talent development. Our research students regularly take part in the Scientific Students' Associations Conference, where they achieve excellent results. At the National Scientific Students' Associations Conferences, our students have so far won three first prizes, two second prizes and one special prize.
Beyond university education, we also put much emphasis on off-site training meeting client needs in quantitative methods, statistics, data science, machine learning, and network science: either theoretical education or workshops about software and programs.