Open call for Machine Learning and Data Science projects from companies

• NB! We have extended the deadline for submitting project ideas and datasets until September 30th!

This autumn, we are teaching courses on Data Science and Machine Learning at the University of Tartu. In these courses, students will learn to apply relevant data science and machine learning methods for extracting useful insights and building models from the data. During the course, the students will form groups (of 3 - 4) to work on a project. As we strive to provide our students with as much practical experience as possible, we are looking to create a diverse set of projects which represent challenging real-life problems. As much for students this is an opportunity to tackle an interesting problem, for the project owner, it could be a great way to verify an initial hypothesis or try out something they had no time for, on a new dataset. Also, we as instructors will offer our guidance to the students.

Hence, we decided to open a call for project ideas and datasets from companies.

What projects are we looking for?

We don’t have an explicit list of “must” or “mustn’t”, however, it is highly desirable that the idea you have in mind is:

1. strongly linked to Machine Learning or Data Science
2. important to you and the society
3. challenging (e.g. there are no ready-made solutions online), but also...
4. doable by students
5. accompanied by a relevant dataset or data that can be collected online with little effort.

How much time should you dedicate?

Of course, it would be ideal if you can dedicate some time to get in touch with students to explain the idea and your initial hypothesis about the dataset. However, it is not necessary nor expected that you spend a lot of time supervising the students (of course, otherwise, very much appreciated). You will be more than welcome to attend the final project presentation that will be organized in December.

How to connect with us?

Please, describe your project idea by filling in this online form. We shall expect your projects until September 30.

Please note that although we will do our best to advertise your project in our courses, we, unfortunately, cannot guarantee that it will be eventually selected by the students.

Describe your project here