Data science faculty and their research areas cover a wide spectrum of the many aspects of data science. The list below shows the names of the faculty and their general research areas, in which they also teach and supervise MS theses:

Dorota Glowacka: interactive information retrieval, exploratory search, user modeling, cognitive modeling, information science, interactive machine learning, bandit algorithms, reinforcement learning, information systems, computational HCI, human factors in machine learning

Keijo Heljanko: big data platforms, distributed databases, parallel algorithms for data mining and machine learning applications, distributed processing, stream processing, IoT applications, cloud computing, parallel and distributed data science

Arto Hellas: educational data mining, learning analytics, software repository mining, intelligent tutoring systems, computing education research

Antti Honkela: privacypreserving machine learning, statistical machine learning, deep learning, machine learning with distributed data, computational statistics

Mohammad Hoque: Ubiquitous Mobile Computing, distributed systems, Big data frameworks, and energy efficiency.

Matti Järvisalo: automated logical reasoning, SAT solving, constraint programming, discrete optimization, algorithms for NPhard problems, argumentation, probabilistic graphical models, computational complexity, parallel search algorithms

Jussi Kangasharju: distributed data processing, networks, distributed systems, cloud computing

Juha Kärkkäinen: algorithms and data structures on strings, data compression, compressed data structures, external memory algorithms

Jyrki Kivinen: computational learning theory, in particular online algorithms

Arto Klami: Statistical machine learning, deep learning, probabilistic graphical models

Mikko Koivisto: algorithms, Bayesian modelling and inference, causal discovery, graphical models.

Antti Kuronen: computational materials physics, computational medical physics

Jiaheng Lu: big data system, database system, matroid theory, category theory for computer science, quantum theory for databases

Michael Mathioudakis: graph algorithms, web mining, social networks, big data processing

Jukka K Nurminen: testing of AI systems, fairness of computational decision making, software systems for dataintensive computing, software for quantum computers, energyefficient computing

Kai Puolamäki: exploratory data analysis, machine learning, data science, resampling and simulation methods

Teemu Roos: machine learning, probabilistic graphical models

Laura Ruotsalainen: Spatiotemporal data analysis, estimation methods for navigation and tracking, machine learning, computer vision, positioning technologies, big data analytics

Tuukka Ruotsalo: interactive machine learning, humancomputer interaction and data science, information retrieval

AnnaMari Rusanen: Philosophy of artificial intelligence, ethics of artificial intelligence, philosophy of computational modeling, philosophical issues in humancomputer interaction

Samuli Siltanen: mathematical and machinelearning methods for inverse problems in medical imaging, nondestructive testing and photography

Hannu Toivonen: computational creativity, natural language engineering, natural language generation

Antti Ukkonen: dataanalysis algorithms, graph algorithms, social networks, machine learning, natural language user interfaces, human computation

Jarno Vanhatalo: spatial statistics and data analysis, computational statistics, statistical machine learning

Roman Yangarber: natural language processing (NLP), deep learning in NLP, computerassisted language learning, language evolution, media monitoring

Indrė Žliobaitė: data science and evolution, analysis of the fossil record, palaeoclimate reconstruction
Data Science Programme Board
The members of the Data Science programme board are the following:
 Professor Jussi Kangasharju, director of the programme
 Associate professor Antti Honkela, deputy director of the programme
 Associate professor Teemu Roos
 Associate professor Laura Ruotsalainen
 Assistant professor Arto Klami
 Assistant professor Jarno Vanhatalo
 Dr. Ari Asmi
 Anna Holvio, student representative
 VilleVeikko Saari, student representative
Administrative staff of the programme are the following:
 Dr. Pirjo Moen, academic coordinator
 Tiina Rytty, project planner
 Reijo Sivén, education coordinator