Dissertation topics suggested by the teacher.
Thesis Requests
For the purpose of the thesis, please read and follow ALL instructions below:
In order to be supported in the writing of your thesis, you must send a request by email respecting the following timeframe:
- 6 months before the date set for uploading your thesis
It is possible to find out the date for uploading the thesis according to the degree roll call by consulting the
academic calendar
At the first meeting, the lecturer will guide the student in the choice of topic. However, it is strongly recommended that you submit your own thesis idea. To this end, it is suggested that you come to the first meeting with a PRINTED COPY of a structured abstract of your thesis idea. In the structured abstract (max. 2 pp) you should state the objective of the thesis, the data you intend to use if you already have them (or would like to use if a dataset has not yet been identified), and an indication of the hypothesised methodology for the empirical analysis of the data. The structured abstract must be accompanied by a minimal up-to-date bibliography on the intended topic.
Recent dissertations supervised by the teacher.
Second cycle degree programmes dissertations
- Analyzing User Behavior through an enhanced RFM model: Unsupervised learning techniques for data-driven customer segmentation in the mobile advertising industry
- causal relationship between lead
time and the probability of
winning a spare parts quotation:
the case of acma, a coesia
company
- Consumer Perception and Purchasing Behavior of Cat&Dog Primary Diet Market in China: a segmentation analysis based on primary data.
- Credit Risk and Creditworthiness in ‘Buy Now, Pay Later’ Services: Statistical Models and Practical Applications
- Early Warning System for Government Debt Crisis: A Case Study of IDA's Borrowers
- Empirical analysis of the holistic phenomenon of permaculture through the application of advanced statistical and data mining techniques on web-retrieved data
- Enhancing Donor Engagement and Satisfaction Through Advanced
Segmentation Techniques: the case of AVIS Provinciale Bologna ODV
- On the relationship between Financial inclusion and Borrowing tendencies.Empirical evidence from European Households.
- Predictive Models in Human Decision-making: A Cluster-based Analysis of Gambles Integrating Prospect Theory and Random Forest
- Segmenting Fashion Consumers: a Data-Driven approach using RFM, Clustering, and Profiling Analyses
- The risk factors of travel insurance policies:
an empirical study on a primary non-life insurance company
- Unlocking Green Opportunities: An Empirical Exploration of SMEs in European Markets
