Theses
Master thesis / Diploma theses
1. End of January: Topic selection
Students choose their topic from the topic list or suggest a (similar) topic (The topic list will be released online before the christmas break; send email with selected topic to supervisor (first come - first serve).
2. End of February:
Start writing and submit thesis proposal (5-10 pages) to supervisor (incl. motivation, research question, key literature, research method, expected results, structure).
3. From March on: Registration of the Master thesis
(Requirement: Successful completion of all modules, and with supervisor agreed thesis proposal.)
- Complete the form „Assessment of the compulsory module: Preparation of the Master’s Thesis” to the examination office link.
- „Application for a Master‘s Thesis Topic“ from LFU to „Prüfungsamt“ (form
) - Registration for Master AG
4. End of September: Writing the Master thesis with supervisor feedback
5. End of November: Finalising the Master thesis
6. End of December, the latest: Submitting the Master thesis
(-> completing master studies within 4. semesters: submitting the thesis until end of September)
- Master thesis: min. 50 pages of content
Formatting:
Word style sheet
Latex style sheet - Submission: 2 printouts to „Prüfungsamt“, and electronically (e.g. word, pdf, latech) with USB stick or link to archive to WI-secretary and by email to the supervisor.
- in the „Prüfungsamt“ the master thesis will be ‚stamped‘ and the student receives an assessment form to be handed over to the supervisor.
7. End of January: Public defensio
within the Master AG
(-> for completion of the master program in the 4.th semester: Defensio until end of October) Requirement: submission of the Master thesis
8. End of February: Assessment
(-> for completion of the master program in the 4.th semester: Assessment until end of November)
Topics
This is an overview of Master/Diploma thesis topics. If you are interested in one of them, please contact the supervisor of the respective topic.
Here you can download a style sheet for your thesis: style sheet 
| Topic |
Supervisor |
Available |
| Designing and evaluating screening questions for online surveys of cryptocurrency users. | Svetlana Abramova | yes |
| Towards a student lifecycle service maturity model. |
Ruth Breu | yes |
| Towards a competence-based classification of programming skills. |
Ruth Breu | yes |
| What’s new about Decentralized Autonomous Organizations? | Andreas Eckhardt Nils Augustin |
yes |
| Normative role of groups in non-compliant technology behavior: An agent-based model of normative group influences and impacts on non-compliant technology behavior? | Andreas Eckhardt Christoph Burtscher |
yes |
| Virtuous or Vicious Affordances - An Arisotelian Perspective on Self-Tracking Applications and Devices. | Andreas Eckhardt Khalid Durani |
yes |
| Designing for Dignity - A Critical Action Design Science Research Approach. | Andreas Eckhardt Khalid Durani |
yes |
| Dark Patterns bei der Gestaltung von User Interfaces. | Andreas Eckhardt Tim Kollmer |
no |
| Bionic Reading: Implikationen für die Lesbarkeit von Texten in Informationssystemen. | Andreas Eckhardt Tim Kollmer |
yes |
| Overcoming knowledge silos at work: Analyzing Stack Overflow Developer Survey 2022 data to gain insights on tech employees’ attitude towards soliciting external help with their tasks. | Andreas Eckhardt Animesh Kumar |
yes |
| Open Social Network data (e.g., LinkedIn, Instagram) as Indicator for spear phishing susceptibility. | Andreas Eckhardt Robert Lamprecht |
yes |
| IS Use Resumption: Drivers and Implications | Andreas Eckhardt Franziska Stöckl |
yes |
| A Taxonomy of Software Test Automation Approaches: Bringing order to the test automation tools and methods jungle. |
Michael Felderer | no |
| Empirical analysis of data-related bugs in data-driven software products. |
Michael Felderer | no |
| AI quality assurance with simulators and digital twins: Using virtual instead of real environments for QA. |
Michael Felderer | yes |
| Visual analytics approaches for runtime and AI quality assurance: How to detect issues with visual approaches. |
Michael Felderer | no |
|
Process Mining for Test Case Generation: Automate the test case generation for microservices/AI via process mining. |
Michael Felderer |
yes |
|
Quality Models für Microservice-Based Systems: How to identify the quality level of Microservices. |
Michael Felderer |
no |
| Fault detection mechanisms for AI models: Faulty AI – which fault types exist and how to detect them. |
Michael Felderer | no |
| Thesis in Cooperation with the SAP HANA Software Quality Assurance Department. |
Michael Felderer | no |
| Susceptibility to fake news on smartphones (Eye-tracking study; student team of 2 with the other eye-tracking topic). | Kathrin Figl | yes |
| The design of warnings to avoid incorrect product configurations. | Kathrin Figl | no |
| Cognitive elaboration and message strength of fake news. | Kathrin Figl | no |
| Cognitive depletion in online product configuration. | Kathrin Figl | no |
| Time pressure in online web shops (student team of 2 with the other web shop topic). | Kathrin Figl | yes |
| Visual attention to social media posts on smartphones (Eye-tracking study; student team of 2 with the other eye-tracking topic). | Kathrin Figl | yes |
| Algorithmic management on crowd platforms: Coherence for Rewards and Penalties. | Kathrin Figl | yes |
| Online Reviews in online web shops (student team of 2 with the other web shop topic). | yes | |
| Literature Review of Natural Language Processing & Information Retrieval Applications used in the Insurance Industry. | Adam Jatowt | yes |
| Literature Review of Computational Approaches to ESG Ratings' Prediction and Analysis. | Adam Jatowt | yes |
| Automatically Generating A Question Answering (QA) Dataset on Financial Documents for Fostering QA Research in Finance Industry. | Adam Jatowt | yes |
| Chronicle 2050: Automatic extraction of expected events from web. | Adam Jatowt | yes |
| Automatic generation of useful hints using Wikipedia to help users find answers to natural language questions. | Adam Jatowt | yes |
| Building dataset of effective hints for supporting human question answering using crowdsourcing. | Adam Jatowt | yes |
| Using large language models pre-trained on news content from different time periods for extracting knowledge about important or surprising differences over time. | Adam Jatowt | yes |
| Creating German FinBERT: large-scale language model trained on German financial news. | Adam Jatowt | yes |
| Does the number of “not recommend reviews” on Yelp affect the overall review score? | Alexander Kupfer | yes |
| Literature review on information overload in the context of online reviews. | Alexander Kupfer | no |
| How do devices differences affect reviewing behavior on TripAdvisor? | Alexander Kupfer | no |
| Do conversational agents in recommender systems affect consumer trust and purchase intention? | Alexander Kupfer | no |
| "Who should work late and for how long?": A review and evaluation of capacity planning models. | Stefan Haeussler | yes |
| Parameterization of a multi-echelon inventory system: A simulation based optimization approach. | Stefan Haeussler | yes |
| Analytics in SpORts: How (Operations Research) nerds appreciate sports. | Stefan Haeussler |
yes |
| Intelligent products: Using flow time forecast for dynamic scheduling – a simulation study. | Stefan Haeussler |
yes |
| "Allocation matters": Design and developement of an applicable optimization tool for scheduling people top tasks. | Stefan Haeussler | yes |
| Fine Planning in Production Processes: A practical thesis in cooperation with a Tyrolean manufacturing company. | Stefan Haeussler | yes |
| User Experience eines webbasierten Patientenportals bewerten. | Stefan Haeussler | yes |
| Automatisierte Klassifikation von klinischen Dokumenten. | Stefan Haeussler | yes |
| Literature Review on capcitated Supply Chains. | Quirin Ilmer | yes |
| Conversational Systems using Artificial Intelligence & Machine Learning (practice work). | Quirin Ilmer | yes |
| Comparison of quantity-based and order-based order release models. | Hubert Missbauer | yes |
| Case-based reasoning in rescheduling: A review of the literature. | Hubert Missbauer | yes |
| Column Generation (CG) in production scheduling: A literature survey. | Hubert Missbauer | yes |
| Redesign of spare parts/accessoires packing: A practical thesis in cooperation with a Tyrolean manufacturing company (practice work). | Hubert Missbauer | yes |
| How to integrate rule-based order release into mid-term planning in make-to-stock systems? | Hubert Missbauer | yes |
| Machine-learning to assist crowd workers in task completion – a quantitative study on machine-learning-based advice taking in a crowdsourced task. | Ulrich Remus Frederik Wiedmann |
yes |
| Mitigating smartphone overuse with digital wellbeing apps – a qualitative study. | Ulrich Remus | no |
| Digital Wellbeing apps – a qualitative study on usage behavior. | Ulrich Remus Renata Santiago Walser |
no |
| Inside the food delivery industry: a supplier’s perspective on control. | Ulrich Remus Matthias Weber |
no |
| Technology-Mediated Control in Gig Work: Analysis of a Food Delivery Platform. | Ulrich Remus Matthias Weber |
no |
| Evolution of Control at Uber/or similar – A historical perspective. | Ulrich Remus Matthias Weber |
no |
| Literature Review: Resistance to change/control and domination in the work place – how do workers resist to organizational changes/controls. | Ulrich Remus Matthias Weber |
no |
| A sucess model for automated programming assessement systems. | Clemens Sauerwein | yes |
| An empirical analysis of the use and net benefits of threat intelligence sharing platforms. | Clemens Sauerwein | no |
| An empirical investigation of content, system and service quality metrics for the evalutation of threat intelligence sharing platforms. | Clemens Sauerwein | yes |
| Exploring the drivers of corporate information security risk-taking. | Clemens Sauerwein | no |
| Design and Development of a Data Warehouse for Cyber Threat Intelligence. | Clemens Sauerwein | no |
| Deep Learning with Ontologies: How can Natural Language Processing Tasks Benefit from Ontologies? | Clemens Sauerwein Andrea Mussmann |
no |
| Training Data Augmentation for Natural Language Processing: Improving Deep Learning Models for Requirements Engineering. | Clemens Sauerwein Andrea Mussmann |
no |
| Analyzing the performance of digital platform strategies using company filings. | Maximilian Schreieck | yes |
| Adoption of cloud platforms among independent software vendors. | Maximilian Schreieck | yes |
| Digital platform strategies of incumbent companies - The interplay of platform governance and traditional governance. | Maximilian Schreieck | yes |
| Linked Building Data and departmentalization of construction processes and management tasks. | Philipp Zech | no |
| Digital Twins of Buildings. | Philipp Zech | no |
| BIM and Industry 4.0 for the integration of sensors with as-built infrastructure assets. | Philipp Zech | no |
| openBIM - State-of-the-art and challenges. | Philipp Zech | no |