IT tööstusmagistrantuur

TÜ üksuste kontaktandmed

valdkonna dekanaat

Faculty contacts link:
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Faculty phone:
737 5341

Faculty email:
hv.dekanaat [at] ut.ee

Faculty address:
Jakobi 2, ruumid 116–121, 51005 Tartu
ajaloo ja arheoloogia instituut

Faculty link:
www.flaj.ut.ee

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Faculty phone:
737 5651

Faculty address:
Jakobi 2, 51005 Tartu
eesti ja üldkeeleteaduse instituut

Faculty link:
keel.ut.ee

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Faculty phone:
737 5221

Faculty email:
keeleteadus [at] ut.ee

Faculty address:
Jakobi 2, IV korrus, 51005 Tartu
filosoofia ja semiootika instituut

Faculty link:
www.flfi.ut.ee

Faculty contacts link:
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Faculty phone:
737 5314

Faculty email:
filosoofia.semiootika [at] ut.ee

Faculty address:
Jakobi 2, ruumid 309–352, 51005 Tartu
kultuuriteaduste instituut

Faculty link:
www.flku.ut.ee

Faculty contacts link:
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Faculty phone:
737 5223

Faculty email:
kultuuriteadused [at] ut.ee

Faculty address:
Ülikooli 16, 51003 Tartu
maailma keelte ja kultuuride kolledž

Faculty link:
maailmakeeled.ut.ee

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Faculty email:
keeled [at] ut.ee

Faculty address:
Lossi 3, 51003 Tartu
usuteaduskond

Faculty link:
us.ut.ee

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Faculty phone:
737 5300

Faculty email:
us [at] ut.ee

Faculty address:
Ülikooli 18-310, 50090 Tartu
Viljandi kultuuriakadeemia

Faculty link:
kultuur.ut.ee

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Faculty phone:
435 5232

Faculty email:
kultuur [at] ut.ee

Faculty address:
Posti 1, 71004 Viljandi

valdkonna dekanaat

Faculty contacts link:
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Faculty phone:
737 5900

Faculty email:
sotsiaalteadused [at] ut.ee

Faculty address:
Lossi 36, 51003 Tartu
haridusteaduste instituut

Faculty link:
www.ht.ut.ee

Faculty contacts link:
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Faculty phone:
737 6440

Faculty email:
haridus [at] ut.ee

Faculty address:
Salme 1a–29, 50103 Tartu
Johan Skytte poliitikauuringute instituut

Faculty link:
skytte.ut.ee

Faculty contacts link:
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Faculty phone:
737 5582

Faculty email:
skytte [at] ut.ee

Faculty address:
Lossi 36–301, 51003 Tartu
majandusteaduskond

Faculty link:
majandus.ut.ee

Faculty contacts link:
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Faculty phone:
737 6310

Faculty email:
majandus [at] ut.ee

Faculty address:
J. Liivi 4, 50409 Tartu
psühholoogia instituut

Faculty link:
psychology.ut.ee

Faculty contacts link:
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Faculty phone:
737 5902

Faculty email:
psyhholoogia [at] ut.ee

Faculty address:
Näituse 2, 50409 Tartu
õigusteaduskond

Faculty link:
oigus.ut.ee

Faculty contacts link:
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Faculty phone:
737 5390

Faculty email:
oi [at] ut.ee

Faculty address:
Näituse 20–324, 50409 Tartu
ühiskonnateaduste instituut

Faculty link:
yti.ut.ee

Faculty contacts link:
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Faculty phone:
737 5188

Faculty email:
yhiskonnateadused [at] ut.ee

Faculty address:
Lossi 36, 51003 Tartu
Narva kolledž

Faculty link:
www.narva.ut.ee

Faculty contacts link:
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Faculty phone:
740 1900

Faculty email:
college [at] narva.ut.ee

Faculty address:
Raekoja plats 2, 20307 Narva
Pärnu kolledž

Faculty link:
www.pc.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
445 0520

Faculty email:
info [at] pc.ut.ee

Faculty address:
Ringi 35, 80012 Pärnu

valdkonna dekanaat

Faculty contacts link:
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Faculty phone:
737 5326

Faculty email:
med [at] ut.ee

Faculty address:
Ravila 19, 50411 Tartu
bio- ja siirdemeditsiini instituut

Faculty link:
biomeditsiin.ut.ee

Faculty contacts link:
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Faculty phone:
737 4210

Faculty email:
bsmi [at] ut.ee

Faculty address:
Biomeedikum, Ravila 19, 50411 Tartu
farmaatsia instituut

Faculty link:
farmaatsia.ut.ee

Faculty contacts link:
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Faculty phone:
737 5286

Faculty email:
pharmacy [at] ut.ee

Faculty address:
Nooruse 1, 50411 Tartu
hambaarstiteaduse instituut

Faculty link:
hambaarstiteadus.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
731 9856

Faculty address:
Raekoja plats 6, 51003 Tartu
kliinilise meditsiini instituut

Faculty link:
kliinilinemeditsiin.ut.ee

Faculty contacts link:
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Faculty phone:
737 5323

Faculty email:
kmi [at] ut.ee

Faculty address:
L. Puusepa 8, 50406 Tartu
peremeditsiini ja rahvatervishoiu instituut

Faculty link:
tervis.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4190

Faculty email:
dph [at] ut.ee

Faculty address:
Ravila 19, 50411 Tartu
sporditeaduste ja füsioteraapia instituut

Faculty link:
www.kk.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5360

Faculty email:
kkdek [at] ut.ee

Faculty address:
Jakobi 5–205, 51005 Tartu

valdkonna dekanaat

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5820

Faculty email:
ltt [at] ut.ee

Faculty address:
Vanemuise 46–208, 51005 Tartu
arvutiteaduse instituut

Faculty link:
cs.ut.ee

Faculty contacts link:
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Faculty phone:
737 5445

Faculty email:
ics [at] ut.ee

Faculty address:
J. Liivi 2, 50409 Tartu
Eesti mereinstituut

Faculty link:
mereinstituut.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
671 8902

Faculty address:
Mäealuse 14, 12618 Tallinn
füüsika instituut

Faculty link:
www.fi.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty address:
W. Ostwaldi 1, 50411 Tartu
keemia instituut

Faculty link:
chem.ut.ee

Faculty contacts link:
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Faculty phone:
737 5261

Faculty email:
chemistry [at] ut.ee

Faculty address:
Ravila 14a, 50411 Tartu
matemaatika ja statistika instituut

Faculty link:
math.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5860

Faculty email:
ltms [at] ut.ee

Faculty address:
J. Liivi 2, 50409 Tartu
molekulaar- ja rakubioloogia instituut

Faculty link:
tymri.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5011

Faculty address:
Riia 23, 23b–134, 51010 Tartu
Tartu observatoorium

Faculty link:
www.kosmos.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4510

Faculty email:
kosmos [at] ut.ee

Faculty address:
Observatooriumi 1, Tõravere, 61602 Tartumaa
tehnoloogiainstituut

Faculty link:
tuit.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4800

Faculty email:
info [at] tuit.ut.ee

Faculty address:
Nooruse 1, 50411 Tartu
ökoloogia ja maateaduste instituut

Faculty link:
www.omi.ut.ee

Faculty contacts link:
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Faculty phone:
737 5835

Faculty email:
om [at] ut.ee

Faculty address:
Vanemuise 46, 51003 Tartu

Asutused

raamatukogu

Faculty link:
utlib.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5702

Faculty email:
library [at] utlib.ee

Faculty address:
W. Struve 1, 50091 Tartu
teaduskool

Faculty link:
teaduskool.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5581

Faculty email:
teaduskool [at] ut.ee

Faculty address:
Uppsala 10, 51003 Tartu
genoomika instituut

Faculty link:
www.genoomika.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 4000

Faculty email:
egv [at] ut.ee

Faculty address:
Riia 23b, 51010 Tartu
muuseum

Faculty link:
muuseum.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5674

Faculty email:
muuseum [at] ut.ee

Faculty address:
Lossi 25, 51003 Tartu
loodusmuuseum ja botaanikaaed

Faculty link:
natmuseum.ut.ee

Faculty contacts link:
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Faculty phone:
737 6076

Faculty email:
loodusmuuseum [at] ut.ee

Faculty address:
Vanemuise 46, 51003 Tartu

Tugiüksused

ettevõtlus- ja innovatsioonikeskus

Faculty contacts link:
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Faculty phone:
737 6339

Faculty address:
Lossi 3, III korrus, 51003 Tartu
grandikeskus

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Töötajate kontaktandmed

Faculty phone:
737 6215

Faculty address:
Lossi 3, III korrus, 51003 Tartu
hankeosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6632

Faculty email:
tuuli.ilula [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
infotehnoloogia osakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6000, arvutiabi: 737 5500

Faculty email:
itk [at] ut.ee, arvutiabi [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
kantselei

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5606

Faculty email:
kantselei [at] ut.ee

Faculty address:
Ülikooli 18a, 51005 Tartu
kinnisvaraosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5137

Faculty address:
Ülikooli 18a, 51005 Tartu
personaliosakond

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Faculty phone:
737 5145

Faculty email:
personal [at] ut.ee

Faculty address:
Ülikooli 18, ruumid 302 ja 304, 50090 Tartu
rahandusosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5125

Faculty email:
rahandus [at] ut.ee

Faculty address:
Jakobi 4, 51005 Tartu
rektoraat
rektoraadi büroo

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5600

Faculty email:
rektor [at] ut.ee

Faculty address:
Ülikooli 18, 51014 Tartu
siseauditi büroo

Faculty contacts link:
Töötajate kontaktandmed

Faculty email:
siseaudit [at] ut.ee

Faculty address:
Ülikooli 17–103, 51005 Tartu
Tallinna esindus

Faculty link:
www.ut.ee/et/tallinna-esindus

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 6600

Faculty email:
esindus [at] tallinn.ut.ee

Faculty address:
Teatri väljak 3, 10143 Tallinn
turundus- ja kommunikatsiooniosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5687

Faculty email:
info [at] ut.ee, avalik [at] ut.ee

Faculty address:
Ülikooli 18, ruumid 102, 104, 209, 210, 50090 Tartu
õppeosakond

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5620

Faculty email:
study [at] ut.ee

Faculty address:
Ülikooli 18, 50090 Tartu
üliõpilasesindus

Faculty link:
tyye.ut.ee

Faculty contacts link:
Töötajate kontaktandmed

Faculty phone:
737 5400

Faculty email:
info [at] tyye.ee

Faculty address:
Ülikooli 18b, 51005 Tartu

Muud üksused

MTÜ Tartu Ülikooli Akadeemiline Spordiklubi

Faculty link:
www.tysk.ee

Faculty phone:
737 5371

Faculty email:
info [at] tysk.ee

Faculty address:
Ujula 4, 51008 Tartu
MTÜ Tartu Üliõpilasküla

Faculty link:
www.campus.ee

Faculty phone:
740 9959

Faculty email:
info [at] campus.ee

Faculty address:
Narva mnt 25, 51013 Tartu
MTÜ Tartu Üliõpilasmaja

Faculty link:
www.tym.ee

Faculty phone:
730 2400

Faculty email:
tym [at] ut.ee

Faculty address:
Kalevi 24, Tartu
OÜ Tartu Ülikooli Kirjastus

Faculty link:
http://www.tyk.ee

Faculty phone:
737 5945

Faculty email:
tyk [at] ut.ee

Faculty address:
W. Struve 1, 50091 Tartu
SA Tartu Ülikooli Kliinikum

Faculty link:
www.kliinikum.ee

Faculty phone:
731 8111

Faculty email:
kliinikum [at] kliinikum.ee

Faculty address:
L. Puusepa 1a, 50406 Tartu
Tartu Ülikooli Sihtasutus

Faculty link:
www.sihtasutus.ut.ee

Faculty phone:
737 5852

Faculty email:
tysiht [at] ut.ee

Faculty address:
Ülikooli 18a–106, Tartu
Vaata kõiki muid üksusi

Ootame partnerettevõtteid liituma IT tööstusmagistrantuuri programmiga!

Tööstusmagistrantuur on Tartu Ülikooli arvutiteaduse instituudi õppekavade magistrantidele mõeldud uus õpinguvorm, mis läbitakse 50% ulatuses partnerettevõttes. Tööstusmagistrandid teevad partnerettevõttega koostööd 17 kuu jooksul (3 semestrit) individuaalse õpingukava alusel, mille raames on praktika, praktilised kursusetööd ja magistritöö seotud ettevõtte jaoks oluliste uurimis-ja arendussuundadega.

Tudengi tegevusi ja töid juhendavad arvutiteaduse instituudi õppejõud koos ettevõttepoolse juhendajaga. Tudengid ja ettevõtted leiavad üksteist tööstusmagistrantuuri programmis vastavalt oma ühistele huvidele ja uurimisteemadele. Koostöö alguses lepivad kolm osapoolt (ettevõte, tudeng ja instituut) kokku tudengi individuaalses õpingukavas, kohandades õppekava sisu vastavalt ettevõtte tegevusalale ja tudengi uurimiseesmärkidele. Programmis osalemiseks kehtib ettevõttele teenustasu ja tudengitele makstakse igakuist stipendiumi.

Aastal 2018 osalevad ettevõtted:

eAgronom

Website: https://eagronom.com
Business domain: Agriculture
Working language: English

Main tasks during the programme:
Helping farmers become richer and environmentally safer through back-end or front-end development.

Directions for thesis research area:

Developing own-cost analysis;
Developing mobile application for farmers;
Developing task execution for farmers.

Supervisor:
Stenver Jerkku or Karl-Aksel Puulman

Expectations for the applicant:

Back-end or front-end development basics.
Huge thirst for knowledge and able to receive feedback
Want’s to learn or write Ruby on Rails or React-redux or React-native
Writing clean code with 90% test coverage(both unit and integration)
Independent thinker, but at the same time team player

Fortumo

Website: https://fortumo.com/
Business domain: Fintech
Working language: English

Main tasks during the programme:
Developing software to support Fortumo’s digital enablement platform, including mobile payments platform which processes millions of requests daily. Paritcipating in the all stages of development process. Being a technical project manager for smaller projects.

Directions for thesis research area:
Applying cutting-edge technologies to automate manual work, detect fraud or anomalies, optimise costs or anything that you find of interest.

Supervisor:
Toomas Välja

Expectations for the applicant:

Experience in low-level Java programming without fully relying on Spring and the like. Ability to write clean code.
Curiosity, proactivity and willingness to contribute to Fortumo’s success in a very tangible way as part of the programme.
You would be essentially working part-time in all of our engineering teams and see what makes us tick up close.

Kühne + Nagel IT Service Centre

Website: https://home.kuehne-nagel.com/
Business domain: Logistics
Working language: English

Main tasks during the programme:
Help to solve real business problems with state-of-the-art Machine Learning. Daily tasks may include all steps of typical ML application within a cross-functional agile team:

Analysis of business needs
Data collection applications
Data exploration and analysis
Developing processing and monitoring pipelines
Training and tuning ML models
Validation of the model
Productionalizing of the model as a service
Dashboard development

Directions for thesis research area:
Examples of ongoing or finished projects include:

Named entity extraction and automation of email workflows
Anomaly detection from time series, logs etc.
LeagalTech - contracts analysis
Employee turnover prediction
Customer credit risk evaluation
Chatbots
Computer Vision applications for warehouse

And many other, including topics the student comes up with

Supervisor:
Ivan Senilov

Expectations for the applicant:

Strong CS background
Knowledge of Calculus, Linear Algebra and Probability Theory
Experience with high-level PL (Python/Java/C# etc)
Interest for ML/AI

STACC

Website: https://www.stacc.ee
Business domain: Data Science
Working language: English. Knowledge of Estonian is useful, but not mandatory.

Main tasks during the programme:

Analysis and preparation of the data;
Machine learning;
Interpreting the results;
Recommendation systems product development;
Communicating the results to the business or project manager.

Directions for thesis research area:

Implementing recommendation systems in real world environment;
Measuring the performance of the recommendation systems;
Analysis of time dimension in recommendation systems.

Supervisor:
Kristjan Eljand (CEO of STACC) or Carlos Bentes (Tech Lead in STACC)

Expectations for the applicant:

Experience with Python;
Willingness to learn new things;
Basic experience with Git;
Data science and machine learning enthusiast

ReachU

Website: http://www.reach-u.com
Business domain: Location Based Solutions and GIS
Working language: English. Knowledge of Estonian is useful, but not mandatory.

Main tasks during the programme:

Designing, programming, and evaluating algorithms for various tasks (e.g. data mining algorithms, reports, visuals);
Self-development (i.e., reading papers on various scientific topics) and presenting findings to team members);
Documentig tasks.

Directions for thesis research area:

Anomaly detection and similar situation detection from spatio-temporal data (typical radio network data records have location with uncertainty plus ca 100 other attributes).
- Keywords: big data, location, data mining
Human mobility analysis from mobile positioning data for smart-city and location-based advertising scenarios.
- Keywords: human mobility patterns, trajectories, transport mode detection, location accuracy.
Visualization of spatio-temporal data
- Keywords: spatio-temporal data, visualization algorithms, visualization effectiveness and cognitive tasks experiments

Supervisor:
Toivo Vajakas, Data Science expert with MSc in applied math. PhD student in informatics and mathematics. Interests: statistical models of spatio-temporal data, visualization, hi-performance computing.

Expectations for the applicant:
It is assumed that the applicant has at least some familiarity with the following:

common programming languages (Java, Python)
version control systems (Git, SVN)

The following are a strong plus:

Prior experience with machine learning
Knowledge of statistics and Bayesian statistics
Strong analytical & visual thinking

Stagnation Lab

Website: https://www.stagnationlab.com/
Business domain: Designing and building digital experiences
Working language: Estonian

Main tasks during the programme:

Backend development (nodejs, REST, GraphQL, TypeScript)
Frontend development (React, GraphQL, TypeScript)
Unit testing (Jest) • End-to-end testing (Cypress)
Database design & management (MySQL, Postgres)

Directions for thesis research area:

Effective GraphQL API design
Implementing GraphQL servers in TypeScript
Unit testing GraphQL servers
Tooling for React/Typescript/GraphQL ecosystem

Supervisor:
Taavi Sangel (frontend wizard) or Priit Kallas (backend ninja)

Expectations for the applicant:

Interested in web applications development
Experience with frontend development (JavaScript, HTML, CSS)
Eager to learn new things & latest Technologies
Bonus: experience with React or TypeScript

Pipedrive

Website: https://www.pipedrive.com/et
Business domain: CRM
Working language: English

Main tasks during the programme:

Software planning, development and testing.
Architectural research.
Team building.
Cross-team communication.
Presentation / demostration of new solutions, ideas, research findings.

Directions for thesis research area:

Persistant messageing and data consistancy between microservices.
Applying machine learning / AI to search results and salesperson decisions.
Real-time data replication between multiple datacenters.
Something user behavior & tracking related - multiple topics there available.

Supervisor:
Marko Nõu

Expectations for the applicant:
Good communication skills, some programming skills, fun to work with.

Datel I

Website: http://www.datel.ee/
Business domain: Space, Spatial information, Law enforcement, Environment
Working language: English/Estonian

Main tasks during the programme:

You are going to work as a part of Datel’s Space team with the influential early warning system. As a part of an agile team you will choose your tasks at weekly sprint planning meetings. You will be creating real value.

Directions for thesis research area:

Machine learning, Big Data, Pattern recognition (including visual patterns), Implementing new software engineering tools and practices, Cooperation projects with European Space Agency (ESA)

Supervisor:
Andreas Kiik (MSc in geoinformatics from Lund), Head of Space Unit in Datel and one of the masterminds behind our ground breaking product SILLE (www.sille.space).

Expectations for the applicant:
Familiar with software development tools (i.e. Git, JIRA) and Technologies (i.e. Java, Javascript). You should feel strong if you have in your references microservices architecture or Postgre or GiS related experience.

Fujitsu Estonia

Website: http://www.fujitsu.com/ee
Business domain: AI and data analytics in healthcare
Working language: English

Main tasks during the programme:

Investigate existing Fujitsu healthcare AI solutions and evaluate their applicability in Estonia. Possible piloting of one of these solutions.

Directions for thesis research area:

Communicate with Fujitsu other entities (solution owners) and Estonian healthcare (data owners). Validate Estonian healthcare data quality, its accordance to global health data standards and its applicability for existing Fujitsu AI solutions. Test and adapt if necessary existing AI solution. Document findings and present results.

Supervisor:
Dmitri Lepp (PhD)

Expectations for the applicant:

Either existing knowledge about data analytics or knowledge about healthcare data standards
Good communications skills and willingness to work with multiple parties
Strong analytical skills

Data science and machine learning enthusiast

Positium LBS

Website: https://positium.com
Business domain: Big Data Analytics
Working language: English

Main tasks during the programme:

Directions for thesis research area:

Supervisor:
Erki Saluveer (CEO) or Margus Tiru (CDO)

Expectations for the applicant:

Optimization of processing of spatio-temporal data. Time series that cover different geographical areas and are unevenly updated have been challenging to process with traditional RDMS databases or with new frameworks of distributed processing. Student is expected to study different processing alternatives and compare them for processing passive mobile positioning data.
Optimization of processing of spatio-temporal data. Time series that cover different geographical areas and are unevenly updated have been challenging to process with traditional RDMS databases or with new frameworks of distributed processing. Student is expected to study different processing alternatives and compare them for processing passive mobile positioning data.
Interest in dealing with large sets of (location) data
Readiness to study new technologies
Willingness to do both: theoretical and applied research
Presenting the work results on conferences and work-shops

Miks peaks Sinu ettevõte programmiga liituma?

Pikaajaline koostöö kõrgelt motiveeritud tudengiga, kellel on huvi ühildada akadeemiline õpe koos praktilise väljundiga.
Ettevõtte arengusuundade analüüsimise ja rakendamisega seotud magistritöö.
Võimalus rakendada uusimaid akadeemilisi teadmisi ja ideid enda ettevõtte arenguks.
Programmi lõppedes on ettevõttel võimalus tööle võtta spetsialist, kes on juba süvitsi panustanud ettevõtte arengusse.
Meie kajastame programmis osalevaid ettevõtteid oma turundusmaterjalides ja kanalites.
Hõlbustame värbamisprotsessi - tudengid, kes saavad programmis osaleda on meie poolt väga hoolikalt välja valitud.

Mida ootame partnerettevõttelt?

Oodatud on liituma nii IT-ettevõtted kui ka digitaliseerimise väljakutsetega silmitsi seisvad ettevõtted ja asutused.
Valmidust pakkuda tudengile erialast praktikat ja ülesandeid ning lõputööteemat valdkonnast, mis seondub tudengi erialaga (informaatika, andmeteadus, masinõpe, äriprotsesside juhtimine, keeletehnoloogia, hajussüsteemid, ettevõtte tarkvaratehnika, reaalaja sardsüsteemide arendus jm).
Valmisolekut töötada välistudengitega.
Avatust koostööle Tartu Ülikooliga ning soovi liikuda teaduspõhisema tegevuse suunas.

Marko Nõu, Pipedrive'i arendusjuht:

Ülikooli poolt on väga õige ja mõistlik initsiatiiv selline programm luua ja Pipedrive aitab hea meelega kaasa. Kasu on mõlemapoolne - tudeng saab turvalises ja toetavas keskkonnas reaalset elu tarkvaraarenduses maitsta ning suure osa oma õppetööst meiega siduda. Näiteks magistritööde teemasid on meiesuguses kiirelt kasvavas ja globaalselt skaleeruvas ettevõttes jalaga segada. Meie saame tudengi näol oma tiimi värsket ja tarka verd, kelle sisend on innovatiivne ja kelle panus võib osutuda just selleks, mis meid konkurentidest eristab.

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IT tööstusmagistrantuur

Ootame partnerettevõtteid liituma IT tööstusmagistrantuuri programmiga!

Aastal 2018 osalevad ettevõtted:

Miks peaks Sinu ettevõte programmiga liituma?

Mida ootame partnerettevõttelt?

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IT tööstusmagistrantuur

Ootame partnerettevõtteid liituma IT tööstusmagistrantuuri programmiga!

Aastal 2018 osalevad ettevõtted:

Miks peaks Sinu ettevõte programmiga liituma?

Mida ootame partnerettevõttelt?

Tudengite tagasiside programmile

Kontakt