Master Thesis projects

For international students there are two possible degrees, a one year Master or a two year Master. A Master Thesis project must be completed to fulfill the requirements of the Master degrees. A 15 ECTS credits project is needed for the one year Master and a 30 ECTS credits project must be completed for the two year Master. The degree project should be the last course in your education. By doing a Master Thesis project and demonstrating her/his knowledge and skills the student will fulfill the overall goals of a Master Degree.

Master Thesis courses currently offered:

Name of the course ECTS-credits Course code
Degree Project: Master of Science (one year) in Computing Science
Students admitted to TADAM can apply
15 hp 5DV138
Degree Project: Master of Science (one year) in Computational Science and engineering
Students admitted to TABEM can apply
15 hp 5DV140
Degree Project: Master of Science (two years) in Computing Science (General degree and specialization: computer science)
Students admitted to TADAM can apply
30 hp 5DV136
Degree Project: Master of Science (two years) in Computational Science and engineering
Students admitted to TABEM can apply
30 hp 5DV137
Degree Project: Master of Science (two years) in Computing Science (specialization Robotics and control)
Students admitted to TAROM can apply
30 hp 5DV141

TADAM = Master's Programme in Computing Science 
TABEM = Master's Programme in Computational Science and Engineering
TAROM = Master's Programme in Robotics and Control

By clicking the course code in the table and then "Kursens hemsida/Course home page" or "För dig som är student på kursen/For current students in the course" more details are given on how to start, plan and perform a MT-project.

Starting from Fall 2009 completed Master Theses and even Bachelor Theses are published in a database called Diva/Opus. See below! Older Theses are listed here.

Student Theses in Computing Science

Author

Title

Year sorteringsordning

Fulltext

Ekdahl, Simon

Making use of automation: Designing a performance driven marketing tool for Smart video

2018

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Sjöström, Henrik

DeepConvLSTM on single accelerometer locomotion recognition

2017

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Wikström, Daniel

Knowledge Transfer between User Interfaces: Exploring mental model influence in learning new UI - A case study at Skatteverket.

2017

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Westin, Jonathan

Evaluation of energy consumption in virtualization environments: Proof of concept using containers

2017

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Torstensson, Jonas

Android Security: An evaluation of applications in Google Play

2017

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Suikki, Oskar

A decision making algorithm for user preferences and norms in context-aware systems

2017

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Shan, Min

Building Customer Churn Prediction Models in Fitness Industry with Machine Learning Methods

2017

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Andersson, Simon

Influence of File Systems on Performance When Working with an Abundance of Small Files

2017

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Lindgren, Pierre

Classifying Stock Market Tweets: Sentiment analysis applied to tweets published by Swedish stock market influencers

2017

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Moström, Erik

Speech act classification: A comparison of algorithms for classifying out of context utterances with DAMSL

2017

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Page Editor: Jerry Eriksson

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Contact persons

Computing Science/TADAM

Frank Drewes, MIT-huset, plan 4, rum E454, drewes@cs.umu.se

Computational Science and Engineering/TABEM

Eddie Wadbro, MIT-huset, plan 2, rum UMIT-lab, eddiew@cs.umu.se

Robotics and Control/TAROM

Thomas Hellström, MIT-huset, plan 2, rum C233, thomash@cs.umu.se