Diploma, Bachelor, Master and Doctoral Theses: What Is the Difference?
When people say "thesis", the picture in each mind is different. A diploma student imagines a report documenting a practical task, a master's student thinks of data collection and analysis, and a doctoral student thinks of a theoretical contribution that has to be new. That difference in expectation is what changes the standard your work is measured against: what counts as "enough" at one level may count only as "a start" at the next.
This is not just a study tip. It decides where help from AI tools is harmless and useful, and where it can put your work at risk. Below we look at the nature of the work and the central expectation of each degree level separately, without turning to numbers of years, credits or pages — those details belong in your own institution's regulations, not in a general guide.
Diploma: reporting a practical task
At diploma level, the final project is usually a matter of execution rather than theoretical research. The student carries out a defined, clearly scoped task and delivers the result as an orderly report. The central expectation is that you can show you are able to do a piece of work from beginning to end, write the steps down in order and clearly, and report the outcome plainly, without exaggeration.
At this level the role of an AI tool usually appears in two places: the structure of the report and the editing of the language. You can ask it to suggest the sections a technical report normally has, or to review your own text for grammar and sentence flow. But even here the data, the result and its interpretation have to come from the work you actually did. If you hand in a report whose steps you never carried out, the problem is neither stylistic nor technical; it is honesty of reporting.
Bachelor: the first experience of research work
At bachelor level the final project is usually shorter, and it is closer to "practice in method" than to "an answer to a new question". The literature review is narrower, the topic is chosen within tighter bounds, and the student is expected to become familiar with the logic of research: how to frame a question, how to find sources, and how to present a result as an argument rather than an opinion.
The tool's role here can be educational. You can ask it to explain the structure of a scientific text or to show a sample arrangement of a chapter so that you learn the pattern. But be careful: "learning the method" is not the same as "handing over the method". If the tool thinks in your place, you have lost the main practice this level exists to give you. Language editing is also a low-risk help at this stage, provided the original text is yours.
Master: the thesis and a clear student contribution
At master level the expectation shifts. Your work should pose a specific question, choose a method for answering it, collect and analyse data, and finally separate your own contribution from everyone else's. Data collection, the choice of methodology and the analysis are the core of master's work, and this is exactly where "a clear student contribution" is assessed.
An AI tool at this level can help you summarise sources you have already read, organise chapters, edit the language, and assist with analysis code running on your own data. It cannot take the place of a methodological decision, because that decision depends on your question, on the constraints of your field and on your own judgement. If you hand the analysis over entirely and simply take the result, you will not be able to defend it at the viva — and the viva is precisely a test of that.
Doctorate: the dissertation and a theoretical contribution
At doctoral level the expectation is of another kind. The work has to add something to existing knowledge: a new question, a new method, or a new way of looking at an old problem. Doing a task correctly is no longer enough; you have to show that you can move the boundary of knowledge at one small point and defend that move.
Know the terminology as well: in common academic usage, "thesis" is usually the word for master's work and "dissertation" for doctoral work. That distinction grew out of ordinary practice rather than a single official definition applied everywhere; many sets of regulations use the two words side by side, almost interchangeably. So if your institution's own regulations use "dissertation" for master's work too, that is not surprising. The real standard is the substantive expectation written in that document, not the label on the cover.
Comparison table
To give you a clearer picture, the table below sets the four levels side by side. The last column matters most: these are the places where help from a tool can damage your work, whatever level you are studying at.
Read the table as a list of decisions, not a list of prohibitions. The point is that before reaching for a tool, you ask yourself once which column you are standing in, and whether the task you are about to hand over is part of your own intellectual contribution.
| Level | Nature of the work | Central expectation | Where a tool helps | Where it never should |
|---|---|---|---|---|
| Diploma | Carrying out a practical task and reporting it in order | Ability to execute and report the steps honestly | Report structure, language editing | Fabricating data or results instead of doing the work |
| Bachelor | A short research project and practice in method | Familiarity with the logic of research and argument | Learning structure, practising arrangement, editing | Choosing the question or the line of reasoning for you |
| Master | A specific question, data collection and analysis | A clear student contribution to method and analysis | Summarising sources you read, editing, help with analysis code | Methodological decisions and interpretation of findings |
| Doctorate | Research with a theoretical contribution and a claim of novelty | Moving the boundary of knowledge, even slightly | Deep editing and shaping your own written text | Generating the idea, the theoretical frame or the novelty claim |
Why the scrutiny grows at higher levels
You may wonder why, the higher the level, the more sensitive the question "did you write this yourself?" becomes. The answer is simple: at higher levels the thing being assessed is no longer "doing the work" but "the intellectual contribution". A report with correct steps but no thought behind it may pass at diploma level, yet it is worthless as a dissertation, because it added nothing to existing knowledge.
That scrutiny is not arbitrary. The institution wants to be sure that someone who will be expected to conduct research independently really can think, and not merely produce orderly text. It is also why, at these levels, the record of the work and the draft versions start to matter: they show how you arrived at the result and which part of the road you walked yourself.
This is where disclosure and referencing come in. If you used a tool, saying so and keeping the trail of the work helps you show that the thinking was yours. On the regulatory side there is an important point too: the Iranian law on preventing and countering fraud in the preparation of academic works, and its implementing regulation, contain no clause about text produced with artificial intelligence. In other words there is no explicit ruling on AI today, and the decision falls back to institutional regulations and the judgement of examiners. Being transparent in that space is the safest position.
Conclusion: practical advice for each level
If you are at diploma level, use a tool to tidy the report and edit the language, and carry out every step of the work yourself. If you are at bachelor level, use it to learn structure and practise writing, but choose the question and walk the line of reasoning on your own.
If you are at master level, treat the tool as an assistant for execution, not a decider of method. Collection, analysis and interpretation have to be yours, and you have to be able to defend them. If you are at doctoral level, the theoretical contribution and the novelty claim are entirely yours; at this level a tool can only help with the language and the polish.
Across all levels one rule holds: the higher the expectation, the more valuable the record of your work and your transparency become. To see which points to observe at your level, read the checklist of thesis writing rules, and start preparing for the thesis defence well before the day. If you want the general logic of academic writing laid out clearly, writing a scientific paper and the IMRAD structure is a good place to begin.
