Former projects

  • Detecting fraudulent behaviour on mobile devices using machine learning

    Detecting fraudulent behaviour on mobile devices using machine learning

    The purpose of this project is to see if it’s possible to detect fraudulent behaviour using data collected from smartphone sensors. Feeding this data to a machine learning algorithm, we hope to recognise a behavioural pattern, and thereby detect suspicious behaviour. 

    Students: Halfdan V. Bjerre, Ahmad Sabah, and Jacob  M. Hansen
    Education: Informations- og  kommunikationsteknologi

  • Receipt manager

    Receipt manager

    The goal of the project is to create an application that will help Danske Bank’s employees to minimize the amount of time spent on receipts. This is accomplished by making a mobile app so it is going to be easy for the employee to take care of every receipt on the spot. 

    Students: Theis  E. Hansen, Nina Mølgaard and Frederik Andersen
    Education: Informations- og  kommunikationsteknologi

  • Corporate Passport

    Corporate Passport

    The project will essentially be an application that aims to reduce the resources needed, when banks get new company customers. Our application will be a web application on which a company can get a digital stamp of approval when for example Danske Bank has scrutinized their economy and trusts the customer. 


    Students: Laura Aggerbo Johansen, Frederik Rosenørn Jensen and Alexander Thulstrup Bruhn

    Education: Informations- og  kommunikationsteknologi

  • VIA Wallet

    VIA Wallet

    These days our wallets are full of access cards, credit cards, club cards, etc. Taking what MobilePay started by managing to remove the need for credit cards, the project will prove that it is possible to start moving away from all of the cards that clutter our everyday lives and turn them into a simple mobile application. The project will use VIA UC Horsens as a testing ground, since their cards are used for several things such as printing, opening doors, etc. 

    Students: Konstantin Vasilev, Lyubomir V. Zhivkov and Kristiyan  Kyukov
    Education: Informations- og  kommunikationsteknologi
  • Analysis and Forecasting of Finacial Time Series Using Machine Learning

    Analysis and Forecasting of Finacial Time Series Using Machine Learning

    Time series can be analysed and predicted using machine learning in a supervised learning framework. The time series of interest are price processes and historical trades obtained from the department of rates, options and inflation trading. The key object for us is to establish whether or not these price processes have a certain pattern after trading with certain customers.

    Student: Kirstine Liedecke
    Education: Mathematics Economics

  • BudgetBud


    We are developing an app that helps the user pay off loans and distribute expenses in a manner best suited for him/her. We utilize the user’s e-banking data to create a personalized budget. When the loans should be paid off, the amount the user wants to save each month and expense distribution are all control parameters granted by this app. In other words, we strive to grant the user financial control and stability.

    Students: Victor Busk & Andreas Lüdemann
    Education: Bachelor of Engineering in Information Technology

  • Fraud Detection at MobilePay

    Fraud Detection at MobilePay

    Today it is free for private users to use Mobilepay and the transactions fees are paid by the businesses. Thus there is an incentive for small business owners to use their private Mobilepay account for business purposes and thus circumvent the fees. My thesis uses machine learning and transaction history of private users and businesses to find the fraudsters that use private accounts for business purposes.  Ideally, these individuals can then be converted into business accounts and pay transactions fees to Danske Bank.

    Student: Anders Damsgaard
    Education: Mathematics Economics

  • How the Banking Industry Can Leverage from Cooperating with FinTechs to Strengthen Their Digital Transformation

    How the Banking Industry Can Leverage from Cooperating with FinTechs to Strengthen Their Digital Transformation

    The financial service sector is facing a massive change undergoing a digital transformation due to external factors such as an increased demand of customers and changing regulations - e.g. PSD2, increased focus on security, new technology driven innovations, and a heightened competition also with the emergence of FinTechs. This is indeed the case for Danske Bank, where digital transformations is becoming more and more vital to ensure their survival in a digital world. Our focus in this thesis will be on how banks can cooperate with these FinTechs proactively in response to the external factors to strengthen their own position in the digital transformation.

    Student: Nina Madsen & Kaja Skjerbek Hemmeløff Andersen
    Education: Information Technology

  • MobilePay Interactive

    MobilePay Interactive

    AR is already a fast growing branch due to its positive perception on immersive interaction, which would definitely influence and change the marketing industry.

    The project "MobilePay Interactive" aims to build a framework module for developers and facilitate a different type of Augmented Reality environment setup. This would help create different marketing materials mainly aiming for merchant users. The combination between the AR interaction processes with MobilePay's capabilities of rapid transfers, can lead to another type of advertising embedded with a transaction mechanism.


    Students: Alexandru Diaconu & Nicolai Sand
    Education: Bachelor of Engineering in Information and Communication Technology

  • Post-Quantum Cryptography

    Post-Quantum Cryptography

    Quantum computers would make it possible to solve previously unsolved computational problems. While they have great potential, they also represent a great security threat Already in the 90’s it was shown that they would make it possible to do prime factorization much faster than on normal computers. This would break modern cryptography.
    Therefore, I will be looking at how we can create digital signatures that are secure against quantum computers. 

    Student: Morten Zdrenka Christensen
    Education: Computer Science

  • Virtual Reality Telepresence Technology

    Virtual Reality Telepresence Technology

    The importance of productive and effective interaction with colleagues in remote locations is increasing with outsourcing and companies becoming more international in their daily operations. The 3D tool being developed is a new proposal for immersive interaction with colleagues in remote locations. It is a proof of concept of how mixed reality technologies can enhance the telepresence experience already being used in the bank.

    Student: Esteban Javier Struve Taguaruco
    Education: Computer Engineering

  • The Behavioral Economics of Saving and Investing on the June Platform

    The Behavioral Economics of Saving and Investing on the June Platform

    Younger people are notoriously bad at saving, let alone investing, their money. While the most common barriers to doing so involve lack of capital and knowledge about investing, many new financial products such as ETFs and index-funds have been established to make the process both easier and less capital intensive — Danske Bank’s new June investment platform requires as little as 100 DKK. With such products coming to the market, the main challenge is how to change the behavior of young people to start saving and investing their money in Danske Bank’s June, and what strategies Danske Bank can employ to onboard more young people.

    Student: Moma Vujisic
    Education: MSc. International Economic Consulting

  • Scale Development for Evaluating Innovation Capabilities on Team Level

    Scale Development for Evaluating Innovation Capabilities on Team Level

    Based on innovation management theory the intention of the thesis is to develop a scale for measuring the innovative capabilities of teams. Through a mixed methods triangulation design the thesis aims at analysing different factors influencing team performance to determine which factors are the most important for team performance, in relation to innovation. If the thesis is succesful in describing the most important factors for building innovation capabilities it can aid the bank in developing high performance innovative teams.

    Student: Carsten Brinck
    Education: Innovation Management

  • Proposal for a cross-Nordic blockchain collaboration

    Proposal for a cross-Nordic blockchain collaboration

    The Thesis will seek to explain the opportunities for a succesful cross-Nordic blockchain collaboration seen from a business perspective. This will be done by creating a business model containing possible suggestions on how responsibilities and roles in a Nordic cooperation should be distributed, in order to generate value for all partners. The findings will then be used to recommend a strategic proposal for MobilePay.

    Students: Mads Rohrdanz Jepsen & Nicolaj Solvang Christensen
    Education: Cand.Merc. International Business

  • Analysing clickstream data from

    Analysing clickstream data from

    Using weblog data, we present a pipeline for distributed processing of large quantities of customer behavioural data for predictive analysis. We show that using state of the art methodologies from natural language processing, together with recent trends in deep learning, results in a more successful modelling of customer behaviour, compared to hand engineered features and traditional machine learning methods.

    Students : Xuwen Zhang Andreas Borgstad, Christoffer Thrysøe
    Education : Computer Science.

  • Reliable and Lightweight Message - Oriented Middleware Based on UDP

    Reliable and Lightweight Message - Oriented Middleware Based on UDP

    Our goal is to implement a reliable and lightweight message oriented middleware based on the User Datagram Protocol. This should lead to a middleware that may achieve the same reliability and synchronisation capabilities as a message oriented middleware using the Transmission Control Protocol.



    Student: Peter Kragelund & Réne Rotvig Jensen
    Education: Computer Enginnering


  • Mobile App for Corporate Card

    Mobile App for Corporate Card

    The project develops a mobile app for customers with a corporate card. The purpose of the app is to make it easy to get an overview of your corporate card and administrate it. Some of the desired functionality is desired is to get an overview of your transactions made on the card, to block the card, see your value-added services, etc. Besides the base functionality, we may include the option to automate the process of documenting your transactions made on the card.





    Students: Peter Nethan Henriksen og Amir Kodro

    Education:  Informations and communication technology

  • Learning approach for Fraud detection

    Learning approach for Fraud detection

    In fraud detection, fraudulent transactions are far fewer than genuine ones. This type of data set is also known as an imbalanced data set. Implementing machine-learning algorithms for imbalanced data sets introduces different complications. This project will look into these complications and discuss how to improve performance for such data sets. Finally, we will design, implement and test different machine-learning algorithms for fast and reliable fraud detection.




    Students:  Simon Østergaard Kristensen & Torben Werenberg Vogt

    Education: Computer engineering

  • Academic knowledge transfer

    Academic knowledge transfer

    The project explores if and how academic input from talented students inspires innovation at Danske bank. The overall goal is to optimise the Talent Box for the benefit of both students and Danske Bank. This is achieved using an empirical design process consisting of three primary tools: Critical observation, interviews and being a user.



    Student: Carsten Johannsen Brinck
    Education: Cand. Merc. Innovation management

  • Intelligent financial advisory system

    Intelligent financial advisory system

     We strive to create an intelligent budgeting and advisory system that enables private customers to manage their finances, using big data analysis tools. 
    Utilizing the banks vast amount of customer data, empowers our application to help customers implement best practice financial behaviour in their everyday life.





    Students:  Martin Boje Carpentier,  Joachim Dam Andersen & Bjørn Nørgaard Sørensen

    Education:  Informations and Communication engineering

  • PocketPay


    In collaboration with MobilePay we are developing an app for children between 8-13 years. The app can transfer money to the cafeteria or similar, while the parents still have control on the amount that can be spent. With this app, the child has a safe environment to learn about money, while the parents no longer has the need for physical money.




    Students: Anders Meidahl Münsberg & Jakob Laursen

    Education: Informations and communication technology

  • Payments in Connected Cars

    Payments in Connected Cars

    Developing business models for different use-cases of in-vehicle payments such as McDonald´s drive-in and gas refuelling at petrol stations.
    Student: Yousef Mustapha
    Education: Technology Based Business Development
  • Machine Learning for Card Fraud Detection

    Machine Learning for Card Fraud Detection

    Machine Learning is a subset of Artificial Intelligence and encompasses many algorithms, which are able to learn from data and then make decisions on new data. As a lot of data is collected about card usage, Machine Learning is possibly a solution to the problem. In this thesis, several Machine Learning algorithms will be analysed, tailored, tested and compared to see which - if any - are good at detecting card fraud.
    Student: Niclas Gleesborg
    Education: Computer Engineering
  • Understanding Customer Determinants of Adopting Mobile Payment Services

    Understanding Customer Determinants of Adopting Mobile Payment Services

    The thesis will seek to explain how MobilePay, from a customer value perspective, will strengthen its position against future substitutional services on the market for mobile payment. The found and defined value determinants of market actors (customers/merchants), will be analysed in order to make strategic recommendations.


    Students: Patrick Schacksen and Frederik Arve
    Education: Cand.Merc.Mark
  • Increasing Economic Awareness by Visualising Financial Interactions in a Home Context

    Increasing Economic Awareness by Visualising Financial Interactions in a Home Context

    Over the last couple of decades the phenomenon of money has been detached from its physical form (coins, bills, checks, etc.) and moved into the digital world. Seeing how this change has altered the relationship between humans and money, our project seeks to create a system for a domestic context where multi-user interaction can take place creating an improved personal banking experience – and ultimately increase the users' economic awareness.

    Students: Lasse Legaard and Christian Lorentzen
    Education: IT Product Development
  • Distributed Enterprise Applications

    Distributed Enterprise Applications

    The requirements for enterprise application availability, performance and maintainability are constantly rising due to high amounts of information with unpredictable and varying load, as well as a demand for failure free and feature rich applications. 

    Student: Jørgen Heinsen
    Education: Computer Engineering
  • Manual, User and Design

    Manual, User and Design

    My thesis is about manuals. Simply put: Great manuals make even complex tasks and designs easy. How do you make them? When are they needed? And why? I have teamed up with Jeppe M. Thastum as my supporter and will be working with ATM’s.

    Student: Martin Thorhauge
    Education: Information Science
  • Designing Conversational Artificial Intelligence Interfaces

    Designing Conversational Artificial Intelligence Interfaces

    The thesis explores the challenges in designing text-based conversational interfaces between artificial intelligence agents (e.g. Chatbots) and users.
    Student: Jørgen Hovind
    Education: M.Sc IT in Digital Design
  • Fraud Detection

    Fraud Detection

    Automation of fraud detection using machine learning. We are making a prediction model which utilises the available transaction data to infer if a transaction is fraudulent or not, along with a likelihood of fraud. A substantial part of the project is the selection of the best performing model measured by a certain error measure.

    Students: Mathias Kvist Aarup, Troels Lægsgaard and Christian Bomholt
    Education: MA Math-Econ
  • Employer Branding

    Employer Branding

    The focus for this thesis was to explore the perception of and experience with an employer brand and how this balance influences employees' role as employer brand ambassadors. The research was conducted as an empirical case study at Development Center Aarhus.





    Student: Line Søborg Rasmussen

    Education: MA Corporate Communication