Instructions for Students
• Thesis instructions for students of the Master's Programme in Data Science
• The Data Science MSc Thesis Moodle
Starting the supervision and making the thesis topic description
The MSc thesis process starts by that the student tries to find a suitable supervisor and agree on a topic with the supervisor. In the MSc thesis Moodle we have lists of possible supervisors for master's theses in Data Science, and students can contact the potential supervisors directly, for example, by e-mail. Students can also contact the programme in the MSc thesis Moodle and get help in finding a suitable supervisor.
When the student has found a supervisor and agreed on the topic, then the student should prepare a topic description of about 1-2 pages in collaboration with the supervisor. The topic description should indicate the general problem area, the particular research questions you plan to focus on, methodologies (literature survey, experimental, …) and provide a few key references. A template for the plan can be found here.
The student sends the final version of the topic description to the supervisor, who will upload it to the PreThesis system, which is a system for monitoring the progress of the master's theses. When the topic description is submitted to the system, within two weeks the student will get a confirmation by e-mail that the supervision arrangements and the topic description itself are fine, and that s/he can continue with working on the thesis.
When the thesis topic description is submitted to the PreThesis system, it would be good to know, who will be the examiners of the thesis. If the supervisor is a professor (full, associate, or assistant), a senior university lecturer, a university lecturer or a research director associated with the Master’s Programme in Data Science (from the Faculty of Science), s/he can be one of the examiners. The second examiner must have a doctorate, so if the supervisor is not a professor, a university lecturer, or a research director associated with the Master’s Programme in Data Science, s/he will then be the second examiner. In this case, the supervisor and the student should agree on which professor, university lecturer or research director associated with the Master's Programme in Data Science will be the first examiner of the thesis.
Writing the thesis
There are no official checkpoints during the thesis writing process. However, it is good that you agree with the student at the beginning of the process on the schedule for completing the thesis and the planned steps during the process. It is also good to agree on how often you will meet and what other communication between you two is expected.
When writing the thesis, the students should use a programme-specific template for master’s theses in Data Science. The template is available in the MSc thesis Moodle.
Assessment of the thesis
The whole thesis assessment process is handled through the E-thesis system. The process begins, when the thesis is ready to be assessed (agree on this with the student). Before the e student submits the thesis to the the E-thesis system, the supervisor must inform the Kumpula Student Services on who will be the examiners of the thesis. See details on this at Grading of master's and licentiate theses.
Note the following:
- A thesis can have many supervisors (ohjaaja), but exactly two examiners (tarkastaja)! One examiner needs to be a professor (full, associate, assistant), a senior university lecturer, a university lecturer or a research director associated to the Master’s Programme in Data Science (from the Faculty of Science), and the second examiner must have a doctorate. These must be decided at latest before the student submits the thesis to the E-thesis system.
- The supervisor often acts as one of the examiners and finds the second examiner for the thesis. The supervisor of the thesis informs the names of the examiners of the thesis using this Forms form to Kumpula Student Services. The information from the form is transferred to the E-thesis system.
- In the grading, the examiners must use the evaluation matrix for master's theses in Data Science.
The whole thesis assessment process is handled through the E-thesis system. The process begins, when the thesis is ready to be assessed (agree on this with the student). Before the e student submits the thesis to the the E-thesis system, the supervisor must inform the Kumpula Student Services on who will be the examiners of the thesis. See details on this at Grading of master's and licentiate theses.
Note the following:
A thesis can have many supervisors (ohjaaja), but exactly two examiners (tarkastaja)! One examiner needs to be a professor (full, associate, assistant), a senior university lecturer, a university lecturer or a research director associated to the Master’s Programme in Data Science (from the Faculty of Science), and the second examiner must have a doctorate. These must be decided at latest before the student submits the thesis to the E-thesis system.
In the grading, the examiners must use the evaluation matrix for master's theses in Data Science.