Research Fields

Core Fields of data science

Methods for data collection by experiments, sampling and search engines

Methods for storing and making data available for analysis, including (distributed) computation based on database systems and big data

Developing data analysis methodologies such as Neural Networks and Deep Learning, reinforcement learning and adaptive control, statistical learning and inference

Developing models and algorithms for classification and prediction, including their validation and use for creating knowledge which is accessible (visualization)

Treatment of special data types such as image processing and computer vision, natural language processing, speech and audio

Analysis of network, longitudinal, spatial and temporal data, and survival analysis

DS Related Fields

Artificial intelligence

Optimization

Operations research 

Robotics       

Game theory

Stochastic processes

Information 

Control

Signal processing

Bio-Informatics

Computational Biology

Digital Medicine

Epidemiology

Econometrics

Psychometrics

Cyber

Quantum computation

Data base management and construction