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Graduate (MS/MA)Graduate (MS/MA). 7 Prompts

TU Delft Research Master's Motivation Letter Rubric

Tailored for TU Delft master's programmes: a carefully structured motivation letter that articulates proposed thesis projects, distils the applicant's BSc thesis with precision, and presents a compelling rationale for their chosen specialisation — demonstrating genuine readiness for rigorous research and a well-grounded sense of intellectual self-assurance.

  • Dimensions7
  • Score Range0–5
  • Word Count1000 - 1500
02 60-second self-check

Would your draft pass this rubric?

Check what's true of your current draft. Be honest, the reviewer will be.

  • I can point to one specific occasion where it started, not a season, year, or era
  • My draft names a belief or behavior I held before, and what replaced it
  • There are visible attempts or setbacks between the event and the lesson
  • My new understanding is specific enough to quote, it couldn't close someone else's essay
  • At least one concrete action after the growth period proves it stuck
3/5

Signal building. Over halfway — the missing dimensions are the ones readers weigh hardest.

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03 Mistakes we flag

What Reviewers Look For:
TU Delft Research Master's Motivation Letter

  • Motivation and Goals for the Programme

    Evaluates whether the applicant articulates a specific, reasoned rationale for pursuing this master's programme beyond generic interest, demonstrating awareness of how the programme addresses a defined intellectual or professional gap. Strong responses name concrete programme features and connect them to a stated trajectory.

  • Fit with TU Delft and Reasons for Studying in the Netherlands

    Evaluates whether the applicant demonstrates knowledge of TU Delft's specific research groups, faculty, or infrastructure, and provides a non-generic reason for studying in the Netherlands. Strong responses reference named labs, supervisors, or Dutch industry ecosystems relevant to the applicant's goals.

  • Chosen Specialisation and Academic Direction

    Evaluates whether the applicant justifies their chosen specialisation track with academic or research logic rather than default or opportunistic reasoning, and whether it connects coherently to prior coursework and future plans. Strong responses show the specialisation is a deliberate step in a legible academic trajectory.

  • Proposed Thesis Projects and Research Capability

    Evaluates the quality and feasibility of the applicant's proposed thesis projects, specifically whether they demonstrate awareness of existing literature, identify a researchable gap, and propose a plausible methodology. Strong proposals are scoped realistically for a master's project and show that the applicant can operationalise a research question.

  • BSc Thesis and Academic Background

    Evaluates whether the applicant accurately summarises their BSc thesis in terms of research question, method, and outcome, and draws an explicit connection to their proposed master's work. Strong summaries demonstrate that the applicant understands what constitutes a research contribution rather than just describing project tasks.

  • Clarity, Tone, and Cultural Fit

    Evaluates whether the letter is written in a direct, evidence-grounded register consistent with Dutch academic communication norms, avoiding rhetorical inflation, excessive personal narrative, or motivational language unsupported by evidence. Strong letters are assertive and factual without being cold.

  • Quality of Evidence, Specificity, and Self-Confidence

    Evaluates whether claims about skills, knowledge, or readiness are anchored to named courses, projects, grades, tools, or measurable outcomes rather than self-assertion, and whether the overall letter conveys a credible picture of independent research capability. Strong letters allow a reader to verify or falsify claims rather than accept them on the applicant's authority.

04 More Common App rubrics
References

Frequently asked questions

Quick answers about using the TU Delft Research Master's Motivation Letter rubric.

Score 4–5 proposals name a bounded research question, cite an identifiable gap in existing literature, and outline a plausible methodology. A topic description alone (e.g., 'AI for healthcare') scores 0–2 under Proposed Thesis Projects.

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