Modeling methods to improve predictive analytics

Study level


Master of Philosophy


Vacation research experience scheme

Topic status

We're looking for students to study this topic.


Dr Mohammad Jabbari Sabegh
Division / Faculty
Science and Engineering Faculty


The project aims to investigate how conceptual modeling methods can be used to improve understanding of the data and help to select the best approach for predictive analytics.

Research activities

This project aims to develop a modelling method to improve understanding of the available data.

To achieve the objectives of this project, theories such as ontological theories or cognitive theories (e.g., theory of multimedia learning) will be used to develop new methods to represent big data and the relationships between different data sets.


As a result of this project, we expect to write an article for publication in research journals.

PhD and Master's students can also use this project as a basis for their thesis.

Skills and experience

For this project, you should have a Bachelor and/or Master's degree in computer science, IT, information science or any other relevant area.


You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round



Contact the supervisor for more information.