Natural Language Processing | Complex Systems | Computational Statistics Health Analytics | Bayesian Multilevel Models | Deep LearningĮmploy advanced signal processing and extraction techniques to generate insights about how people communicate to and with each other across a variety of mediums. Harness the variety of data sources in the health domain (medical images, text, demographics, etcetera) to design and implement analyses that can be used to improve health and wellbeing. Governance & Policymaking | Data Science: Sustainability, Privacy & Security | Analytics for Business & Governance Work with data at local, national, and international scales to produce insights that can lead to fair, transparent, and sustainable governance and policy. Use data science methods that can minimize bias and provide explainable predictions. Work with real-world data from customers and businesses to build models that generate insights and recommendations to improve business strategy.Īnalysis of Customer Data | Business Analytics & Business Intelligence | Interactive Data Transformation The content of your previous education determines to which track(s) you can be admitted. This is to encourage you to select elective courses and a thesis project that align with the knowledge you have gained in your previous education.
You will be admitted to one of four tracks. Use these tools and skills ethically within the EU laws and regulations for data privacy.Translate the results of your machine learning analyses into actionable solutions and recommendations.You learn to select the model(s) most appropriate for the data you have and the task you want to solve.
Data Science and Society is a one-year multidisciplinary Master’s program where you learn how to use data science methodologies to build upon the domain-specific knowledge you have already acquired.
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