🔬 Research & Academia · Gantt
Thesis Research Timeline
A three-year PhD or two-year research-project timeline from literature review to thesis submission. Move the bars to match your supervisor's plan.
Drawing diagram…
What this diagram shows
- Literature review, ethics, data collection, analysis and writing
- Milestones for the proposal defence and submission
- Dates are examples: edit them in the code
Prompt used
Gantt chart for a research thesis over two years: literature review, research proposal and defence, ethics approval, pilot study, main data collection, data analysis, paper writing and submission, thesis writing, and final submission and viva.
Mermaid code
gantt title Thesis research timeline dateFormat YYYY-MM-DD axisFormat %b %Y section Foundations Literature review :done, lr, 2026-01-05, 90d Research proposal and defence :milestone, pd, 2026-04-06, 0d Ethics approval :ea, 2026-04-06, 45d section Fieldwork Pilot study :ps, after ea, 40d Main data collection :dc, after ps, 120d section Analysis and writing Data analysis :da, after dc, 90d Journal paper writing :pw, after da, 60d Thesis writing :tw, after da, 150d section Finish Submission :milestone, sub, after tw, 0d Viva :viva, after sub, 45d
Related templates
PRISMA 2020 Flow Diagram
The standard flow diagram for a systematic review: records identified, screened, assessed for eligibility and included. Replace each n with your own counts.
CONSORT Participant Flow Diagram
The CONSORT flow diagram for a randomised trial: enrolment, allocation to two arms, follow-up and analysis, with the numbers lost at each stage.
Randomised Controlled Trial Design
Study-design figure for a randomised controlled trial: population, randomisation, two arms, measurements and outcomes.
Cohort Study Design
Design figure for a prospective cohort study: exposed and unexposed groups followed over time to compare outcomes.
Conceptual Framework (Research Model)
A conceptual framework with independent, mediating, moderating and dependent variables, plus control variables. Rename the boxes for your own study.
Machine Learning Experiment Pipeline
The experiment pipeline figure for a machine-learning paper: data, preprocessing, splits, model training, evaluation, ablation and statistical testing.