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Master’s Education in Computer Science

Master’s Education in Computer Science

Master’s Education in Computer Science

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- Active projects
  Autonomous work machines (AUWO)
  Data-driven efficiency, productivity and competitiveness
  Tailoring the Master’s Programme in IT for the Central Ostrobothnia Region
  DustSense – Smart Dust Monitoring in Industrial Areas
  Developing the ICT Sector in Central Ostrobothnia
  IoT learning environment
  Quality for distance learning
  TAKOMO Smart Environmental Monitoring in Industrial Areas
  Industrial Big Data
  TIRA - Efficient Facility Management through Robotics and Sensor Technology
  Smart and sustainable living
  VESIKKO – Intelligent Monitoring Network for Waterbody Load -development project
- Completed projects
  YMPYRÄ
  DiVes
  WinIT
  HANKO
  SCIP
  RUOSTE
  ICT recruitment survey
  TEHO
  LoRE
  HAVINA
  LIoT
  DUDE
  SmartCampus
  SINNE
  SmartHome4E
  HATTU - From Project to Product
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TechKokkola - Accelerating Industry through Digitalisation

10.11.2026 13:00 - 14:30

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28.09.2026

Data-driven efficiency, productivity and competitiveness

From water meter readings to forecasts – cloud services support water use planning

21.09.2026

The Broad Role of Computer Science Reflected in New Master’s Theses

21.09.2026

VESIKKO – Intelligent Monitoring Network for Waterbody Load -development project

VESIKKO Project Off to a Strong Start

11.09.2026

Information Technology Expertise Recognised at the Opening of the Academic Year

31.08.2026

Industrial Big Data

Data in an industrial context featured at Kokkola Material Week in November

28.08.2026

Developing the ICT Sector in Central Ostrobothnia

Keski-Pohjanmaan ICT-alan kehittämistarpeita selvitetään yhdessä yritysten kanssa

28.08.2026

Quality for distance learning

Laatua etäopiskeluun -hanke esitteli ratkaisujaan sosiaalityön yksikölle

28.08.2026

Quality for distance learning

Data-alusta tuo reaaliaikaisen IoT-datan opetuksen käyttöön

27.08.2026

Industrial Big Data

Information on LUMI AI Factory services from the high-performance computing webinar