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Master Thesis AI

The Master Thesis AI is a mandatory part of the master programme, in which you conduct research at a high level.

Important information:

1. Thesis submission deadline
You will now all have the same start and end date for their thesis project. For the academic year 2021-2022 the dates are as follows:

  • Start date: 1/01/2021
  • End date: 1/07/2022

2. Thesis Fair information

  • Due to COVID-19, the 2021 AI Thesis Fair will be held online.
  • When: Thursday, October 7th 2021, 9:30 - 14:30
  • Location: Online. The link for the event will be provided to participating students. 

AI Thesis Fair Information Night: 10 September 2021, 14:00 - 16:00. Invitations will be sent out in an email.

3. Number of EC
All students will be undertaking a 48EC thesis. 

Only students who enrolled in 2018-2019 or before are eligible to apply for a 36EC (as long as students have 42 EC of compulsory components and at least 18 EC of restricted-choice elective components).

4. Thesis Extension Form 
If students require an extension, they will need to complete a Thesis Extension Form that can be found on their DataNose project page. 

5. No defence 
Defences will no longer be taking place from this academic year. For more details please see section 6. 

The DataNose team has already updated the DataNose page of the thesis AI following the changes to grading for 21/22. If you started before Sept 2021, you have the option to choose how you want your thesis graded, either with a defence or with the new system (review and rebuttal). Please consult with your supervisor/examiner about what is best for you.

  • Step 0: Obtaining formal permission from the Examinations Board

    Step 0.1: Registration
    You need to register for this course. The registration for this course follows the same procedure for other courses which is available at https://student.uva.nl/ai, under the A-Z list,  ‘course registration’.

    In order to register you will need to have successfully re-enrolled for programmes for the upcoming academic year. It may take up to two working days for your re-enrollment to be processed.

    vakaanmelding-fnwi@uva.nl

    https://student.uva.nl/ai/shared/studentensites/fnwi/esc-gedeelde-content/en/az/course-registration-fnwi/course-registration.html#anker-i-am-a-master-student-i-have-already-started.

    Please ensure that you are registered for the MSC AI thesis before starting your thesis. 

    Step 0.2 Permission and Personal Study Plan 
    You may start with the Master Thesis if your personal study plan has been approved by the Examinations Board. Please fill in your personal study plan in SPA (unless you already have an (old) PEP form approved by the Examinations Board) to ask the Examinations Board for approval of your personal curriculum.

    https://acadplan.datanose.nl/

    In order to graduate your personal study plan needs to be approved by the Examinations Board. If you have doubts or questions regarding your programme, you can make an appointment with your Study Adviser.

  • Step 1: Choose an MSc AI project

    AI THESIS FAIR 2021

    Due to COVID-19, the 2021 AI Thesis Fair will be held online.

    • When: Thursday, October 7th 2021, 9:30 - 14:30
    • Location: Online. The link for the event will be provided to participating students. 

    AI Thesis Fair Information Night: 10 September 2021, 14:00 - 16:00. Invitations will be sent out in an email.

    **Please note that the AI Thesis Fair and Information Session are only for MSc AI Year 2+ students who are starting their thesis in the 2021/2022 Academic Year**

    About the Fair:
    The AI Thesis Fair is an opportunity for you to meet with up to 10 organisations and discuss their offered projects with the hope that you will match with one of them.

    In order to participate in the Fair, you must vote for 10-15 organisations on DataNose. The organisations include local and international companies, startups, government agencies, and non-profits. You vote on individual projects and then the organisation appears on your voting ranked list. This ensures you have at least 10-15 organisations that you rank.

    The projects are available on DataNose and you vote for the projects you are interested in. A schedule will be generated for you based upon your ranked top 15 projects. 

    We invite you to check out the Thesis Fair website, where you will find all important information. Please read through the FAQ sections that you can find under the ‘Students’ section for details on any questions that you might have. You may also find videos on our UvA internal projects (please select ‘About’ then navigate to ‘Research’) and the Thesis Marketplace (with both internal and external projects) can be found on DataNose where you will find a specific MarketPlace tile.

    If you have any additional questions that are not listed on the website please contact us at thesisfair-IvI@uva.nl.

    AI Information Session webinar

    Ahead of the AI Thesis Fair, we will hold an AI Information Session webinar on Friday 10th September at 14:00. This webinar will inform you about the expectations for the upcoming Fair and for the thesis itself. A presentation will be given on what to expect, how to vote for projects, and how to prepare. Please RSVP by filling in the form - the link can be found at the bottom of this email. If you do not RSVP you will not receive the webinar link.

    Information Session Details
    Date: Friday, 10 September
    Time: 14:00 (until +/- 16:00)
    Location: Webinar (the link will be sent to students who RSVP)

    The deadline to RSVP is Thursday, the 9th of September at 12:00 (noon).

    Students who RSVP and attend the Information Session webinar will receive a €15 Thuisbezorgd (online food ordering) gift card, please feel free to order food before or after the webinar. If you do not RSVP, you will not receive a gift card.

    Thesis Marketplace (voting)
    There is a Thesis Marketplace integrated in Datanose which provides you with available projects. Voting will start on Friday, 10 September at 17:00 and close on Friday, 17th September at 17:00. You will be able to vote on the same page as the Marketplace and you will be able to vote on projects which are of interest to you. In order to prepare for voting, please start reviewing the projects here:

    In total, you can vote on 15 organisations. When arranging the speeddating schedule we will aim to match you with the companies and projects coinciding with your votes. Unfortunately, we will not be able to secure a speeddate with every company you voted for. Please note that there is a chance you will not be able to meet with some of your top organisations if they are overly popular. You will also be likely scheduled to meet with organisations you initially did not vote for. Go into each speeddate with an open mind, many successful and interesting projects have come out of such speeddates.

    Questions?

    If you have any questions about the AI Thesis Fair please contact thesisfair-IVI@uva.nl.

    If you have any questions about your MSc AI thesis please consult the MSc AI webpage. If you cannot find the answer to your thesis questions there, please contact mscAIthesis-GSI@uva.nl.

  • Step 2: Choose your thesis committee and submit a project description on DataNose

    Step 2.1: Define your thesis committee

    The committee will comprise of:

    1. An UvA supervisor (a staff member affiliated with the Master Artificial Intelligence)
    2. An UvA examiner 
    3. If the project is external: A daily mentor

    Your UvA supervisor can act as your examiner if they are on the list of examiners. In this case you will need to find a second assessor for your project.

    Two separate members of staff are required to complete the grading of the thesis. The external supervisor will act as a mentor, advisor to the student.

    Here are the definitions of each role:
    Role Supervisor (for an internal project): The supervisor for internal projects is a staff member, postdoc, or PhD student at the Faculty of Science (FNWI). The role of the supervisor is to provide periodic supervision about the thesis. This includes day-to-day supervision and scientific guidance of the project. The supervisor also deliberates with the examiner regarding the grade.  In the case that the supervisor is a PhD student, the PhD student will work alongside a staff member at the Faculty of Science (FNWI).

    Role Mentor (for an external project): Used to be called external supervisor, it is now named mentor to reduce confusion as only the UvA Supervisor can grade. The primary role of the mentor, in this case, is an advisory role there to provide high-level guidance and to provide input for the organisation's project material. Sometimes they may provide scientific support if they are also researchers or experts. The mentor will not have a part in the grading procedure but can provide insight into the actions and behaviour of the student during the process.

    Role Examiner: The examiner is a staff member or postdoc at the Faculty of Science (FNWI). The role of the examiner is to provide an independent assessment of the quality of the thesis. This includes reading the thesis, asking questions, and deliberating with the supervisor regarding the grade. The examiner is not involved with direct supervision of the student but can be involved indirectly, e.g. to guide the supervisor in the process, or to co-author a publication. The examiner must be pre-approved by the Examination Committee and be on the list of examiners.

    The role of examiner can be done by your UvA supervisor (so long as they are on the list of examiners. If your UvA supervisor takes on the role of examiner you will need to find a second assessor.

    How to find your Supervisor:
    Please use the document available on Canvas as a guide to finding your supervisor. 

    When searching for a Supervisor please use the following protocols:

    • only contact one potential supervisor at a time
    • wait for their response before moving on to a further possibility
    • explain your project in detail and why the person you are contacting would be the best fit to supervise your project

    How to find your Examiner: 
    A new system has been developed to find Examiners for your project. You do not need to find an examiner for your project. If an examiner has already been linked to your project as examiner please add them to your project page on DataNose.

    Step 2.2: The MSc Thesis Contract

    It is mandatory to fill in an online Master Thesis Contract in DataNose your Master Thesis project. We highly advise that you complete this page together with your Supervisor as soon as you start your project.

    You will be asked to complete the ‘Base Data’ form: 

    1. A working title
    2. The ECs (please refer to the start of this page for the correct ECs)
    3. Your Daily Supervisor
    4. Your Mentor (optional)
    5. If the project is Internal or External 
    6. The organisation or Institute (and department/research group)
    7. The location of the project:
      1. City
      2. Country 

    You will then be required to upload your ‘Project Description’. This description can be the same description found on the Thesis Marketplace.

  • Step 3: Interim milestones and finishing up with MSc courses

    Please keep the following points in mind during your research project.

    Schedule
    Follow the time scheme described in your Master Thesis Contract (in DataNose). DATES HAVE BEEN ASSIGNED

    Finish courses 
    Make sure that you complete unfinished courses as agreed in your Personal Education Plan.

    3.1 Thesis milestones

    Milestone 1: The Thesis Contract
    The Thesis Contract is a form in Datanose. For details on the contract see step 2.2 above.

    The students working on the 48 EC thesis have their thesis contract due in week 10 of their thesis. This translates to the first week of January, as students should start their 48 EC thesis in block 2 starting in November.

    The students who started their master programme are eligible to choose between the 48 EC or 36 EC thesis. The thesis contract of the 36 EC thesis is due in week 4 of their thesis. For example students who start their 36 EC thesis at the beginning of January should have their contract due at the end of January.

    Milestone 2: The Thesis Proposal
    The goal of the thesis proposal is to ensure that you have a solid understanding of the existing literature, what you are trying to research, and how you are planning to do your research before diving deep into experimentation. In other words, ensuring that you have a sound research design.

    The Thesis Research Proposal is due 18 weeks after the start of the thesis for 48EC students (Due 9 weeks after the start date for 36 EC students).

    You will submit the Thesis Research Proposal on your project page on DataNose.

    When you upload you proposal you will need to check the following components: 

    • Updated title if need be 
    • Updated timetable 
    • Upload proposal - a specific section has been added to DataNose.

    The proposal should have the following sections completed: 

    1. Research Question: the question(s) that your research is targeted to answer )see Further reading : Zobel: Writing for Computer Science, ch 4, p35-50)
    2. Literature Review: positioning your research in the relevant background and related research
    3. Methodology: which methods you are using to systematically research your topic, and by which you are answering your research questions. This helps to check the validation and verification of your research.
    4. Planning:your planning on experimenting, evaluation, writing etc.

    The content of this proposal can be reused for your final thesis.

    Discuss your proposal with your supervisor before uploading it to Datanose on your thesis project page, using the 'submit proposal' on the upper right of the page. This is not evaluated or graded. It is just to ensure you are on track.

    Datanose or uploading problems?
    If this option is not available, then this is a Datanose issue, please use the 'feedback' button on the lower right of your Datanose thesis project page, stating that you are missing this option. The Datanose team will then ‘update’ your page re-enabling this option.

    “COVID update: Under normal settings your thesis proposal is used during the thesis sessions. Since there are no thesis sessions this year due to COVID-19, we will not go through the designs this year. You will need to submit a Thesis Proposal and it is a step in the DataNose process and therefore required in order for you to be able to submit your final thesis. For feedback, we recommend you go through the Thesis Proposal with your supervisor to ensure you are on the correct path to complete a successful thesis.”

  • Step 5: Thesis Submission

    Thesis submission deadline
    You will now all have the same start and end date for their thesis project. You will be able to ask for an extension if required. If you do not complete an extension form and go over the stated end date, you will be subject to a grade penalty. 

    For the academic year 2020-2021 the date are as follows:

    • Start date: 26/10/20
    • End date: 5/07/21

    Thesis extension
    If you require an extension for your thesis you are now required to complete a These Extension Form. You can find this form on your DataNose project page under the ‘Actions’ menu on the right side of the project page. You can also find the Extension form using this link.

    To complete the form you will need to choose from a list the reason for the need for an extension as well as a proposed new end date. This will then be sent to the MSc AI Thesis Coordinators who will approve or reject the extension based on the information provided as well as accept or propose a new end date. The form may also be sent to the study advisor if required (based on which reason is selected).

    The form must be completed by the Wednesday (week 27) before submission (or three working days before submission). The form must be submitted as soon as the relevant issue arises, not at a later date. The deadline for the academic year 2020-2021 the deadline for the Thesis Extension Form is: Wednesday 30th June 2021.

    If your extension has been approved, your end date will be updated on your DataNose project page. The late submission grace period of 2 months will start from the new end date, after which the grade penalty will be in effect (if no further extension form is submitted).

    The grade penalty system

    If you go past the outlined end date on your project page and do not submit an extension form you may be subject to a grade penalty. The grade penalty system is as follows:

    • 2 months grace period (this starts from your project end date on DataNose)
    • Any submission during these 2 months without an extension application will result in the students being told that it cannot be assured their thesis will be graded by the 31st August. This could mean they would need to enrol for the following year and pay associated fees.
    • Any submission after those 2 months will mean an automatic grade capped at 7.0.
  • Step 6: Evaluation and Rebuttal

    Step 6.1: Evaluation
    The grade is determined by the committee members and will be found on DataNose.
    The examiner has to register your grade with the ESC Servicedesk. 

    The document below lays out the evaluation rubric. This is used as a guide by your Thesis Committee members to determine your final grade.

     At this point you have the choice to accept the grades and receive your final grade. If you do not accept the grades then you can submit a rebuttal. The rebuttal is optional.

    Step 6.2 Rebuttal
    This year you will have the opportunity to complete a rebuttal after you have received your grade. The rebuttal will be done through the evaluation system on DataNose. The rebuttal form will be completed by the supervisor, examiner and student. The rebuttal will provide detailed feedback and give you the opportunity to give clarifications or explanations to questions asked by your thesis committee in your evaluation form. You will have the chance to have your grade changed.

    This rebuttal is optional. 
    The rebuttal consists of 4 parts:

    1. Rebuttal clarifications and corrections on supervisor review
    2. Rebuttal clarifications and corrections on examiner review
    3. Rebuttal answers to questions by supervisor
    4. Rebuttal answers to questions by examiner 

    This will then lead to a final grading to take place jointly between the supervisor and examiner. 

    The timeline is as follows:

    • 2 weeks for the review
    • 1 week for the rebuttal
    • 1 week for final grading 

    You can find the rebuttal form here: