Project name: Applied research for developing remote sensing control and security system sensors and software algorithmsProject description: The aim is to develop the ability of remote-controlled vehicles to perceive their surroundings and locations outside the regular urban environment and to cope with a situation where communications with the operator and satellite positioning may be interrupted.
Project name: Coding for fiber optics communications.Project description: Unable to disclose due to non-disclosure agreement
Project name: Using deep surveillance networks in cell image analysisProject description: The aim of this collaboration is to investigate the possibilities of developing methods of machine learning in order to create systematic analysis tools for microscopic images of cells used in scientific research. Find further info here.
Project name: Analytics, monitoring and prediction algorithms for population movementsProject description: The aim of the project is to develop a set of tools that include algorithms for analyzing, monitoring and predicting population movements from mobile data.
Project name: In-depth development of the retail segment analysis in SwedbankProject description: It is an in-depth development of a private customer segment analytics that enables the deployment of micro-segmentation, predictive analytics, and dynamic pricing and discounting
Project name: Adaptive monitoring and information systems to prevent money launderingProject description: The aim is to increase Swedbank's capacity for money laundering and cost-effectiveness. The project develops methods for pre-processing complex and unstructured data and data science solutions for more accurate and specific identification of suspicious financial activities.
Project name: Innovative solutions to urban mobilityProject description: Taxify and UT cooperation is related to algorithms for improving GPS and maps data quality as well as urban traffic simulators that will enable to improve the accuracy of estimated arrival times and integrate various environmental factors. Find further info here.
Project name: IoT labProjecxt description: The aim is to improve the learning environment and opportunities for students at the Institute of Computer Science and to encourage the creation of new business ideas based on research and development. Find further info here.
Various partners: Positium, Datel, ReachU, Fujitsu, Fortumo, Swedbank, PipedriveProject description: A study format for students in Software Engineering and Computer Science curricula where 50% of the studies will take place at a partner company. Find further info here.
We are always open to new and exciting cooperation opportunities. Please contact our Partner Relations Department:
Head of Industry Collaboration
e-mail: anne.jaager [ät] ut.ee
tel: 737 6415
Partner Relations Specialist
e-mail: anastasiia.shevchenko [ät] ut.ee
Industry Collaboration Coordinator
e-mail: annet.muru [ät] ut.ee
tel: 737 6415
Companies are welcome to propose ideas for collaboration in research directions they have interest in. Also welcome are all types of project ideas for students to work in courses in collaboration with an actual client. We also welcome ideas for theses. To protect sensitive data and business secrets the defence and the thesis itself can be kept confidential. Guest lecturers are also very welcome to visit our courses. All our course information is public - have a look and contact the teaching staff responsible.
Practical Training is a course which requires students to complete an internship with a company operating in the ICT sector. The length of the internship is connected to the student's specialization and level of studies, but generally remains between 160-480 hours, which can be divided across a longer period. Successful internship also requires a supervisor from the company and we suggest forming task-based teams for internship positions. Internship can either be paid or without pay. After the completion of the intership the student has to present and defend their internship report.
Internship related questions can be addressed to ati.praktika [ät] ut.ee ( ) and company representatives can add their internship offers into our internship database. NB! We will not forward offers to student mailing lists if they are not added to the database.
Due to our English language Master's programmes nearly half of our MSc students are from abroad. While offering internship places please also consider international students. Students outside the EU generally have a residence permit for studying. Holders of such a residence permit can work to fulfill an internship requirement in their curriculum without having a work permit. If a company is paying the student for the internship, it is advisable to put into the contract that the internship is connected to the student's degree studies.
Every spring the Institute of Computer Science holds the Career Day, which aims to bring together students with (including interational Master's students) with company representatives. Companies can also meet and connect with our research groups.
Companies that have participated in our Career Day or have collaborated in some other way.