University of Helsinki Life Science Informatics Master’s Thesis Guide 2026-2027

The Master’s Programme in Life Science Informatics (LSI) at the University of Helsinki brings together quantitative methods and life-science research. For thesis planning, that multidisciplinary setting matters: an LSI thesis may be theoretical or practical, may involve biological or medical data analysis, and is often carried out as a clearly defined research task inside a research group.

This guide explains the current thesis process using University of Helsinki sources verified on 25 August 2026. It is deliberately a thesis guide, not an admissions guide. Application criteria, fees, scholarships and language-test requirements are outside this article.

The current LSI programme structure

The degree is 120 ECTS and is designed for completion in two years. All teaching in the programme is in English.

The current programme has three study tracks:

1. Bioinformatics and Systems Medicine
2. Biostatistics
3. Mathematical and Statistical Ecology

This point deserves attention because older University news pages can still be found online that describe an earlier four-track arrangement. For students working under the current programme, the current programme page, Studies Service guidance and the autumn-2026 welcome material all use the three-track structure above. Those current programme-facing sources should control your planning.

The degree includes at least 85 ECTS of advanced studies in Life Science Informatics. Current programme guidance breaks this down into at least 15 ECTS of introductory core courses, at least 35 ECTS of track-specific studies, the 30 ECTS Master’s thesis, and a 5 ECTS Master’s seminar. Up to 35 ECTS can come from other studies within the rules of the degree.

What the 30 ECTS LSI thesis actually is

The University describes the LSI thesis as a mandatory scientific research project. It is worth 30 ECTS, corresponding to approximately one semester of full-time study.

The project may be theoretical or practical. The programme specifically notes that it can include biological or medical data analysis connected with an ongoing research project. The resulting thesis is expected to show that you can apply your knowledge to a novel problem, reason scientifically and work with the relevant research literature.

The thesis is independent work. At the same time, it may be carried out as a well-defined task within a research group. That is an important distinction: working inside a larger research project does not remove your responsibility for the intellectual and written work that forms your own thesis.

For many LSI students, a practical thesis may involve datasets, computational models, statistical inference, pipelines, biological interpretation or a combination of these. A theoretical thesis may focus more heavily on modelling, methodological development or analytical reasoning. The exact research design should come from the research question, the available material and the agreement with your supervisor rather than from the name of your study track alone.

Start the thesis process during the second year

Current LSI guidance places responsibility on the student during the second year to find a thesis topic and supervisor. You are not expected to do this without support: your teacher tutor and the teacher of the LSI thesis seminar can help you identify a suitable direction and supervisor.

A sensible sequence is:

1. narrow your research area;
2. identify a possible supervisor or research group;
3. discuss whether the proposed problem is realistic for a 30 ECTS project;
4. agree on the research question, data or theoretical material, methods and timetable;
5. use the thesis seminar and individual supervision to refine the project;
6. complete the research and writing in parallel rather than leaving all writing to the end.

Because the programme is multidisciplinary, your thesis may connect several domains. For example, a Bioinformatics and Systems Medicine project may combine computational methods with molecular or clinical data; a Biostatistics project may centre on principled statistical inference; and a Mathematical and Statistical Ecology project may combine ecological questions with quantitative modelling. These are programme contexts, not mandatory thesis-method templates.

Do not borrow another Helsinki programme’s page-count rule

One of the most important quality-control findings in this research is what the current LSI sources do not say.

The current LSI material verified for this guide does not establish one universal LSI thesis page count. Other University of Helsinki programmes may publish their own typical ranges, but those numbers should not be copied into LSI simply because the programmes share a faculty, campus or quantitative orientation.

Therefore, do not plan your LSI thesis around a page target borrowed from Computer Science, Mathematics and Statistics, or another programme. Follow the current LSI thesis-seminar and supervisor instructions for the appropriate depth, structure and length of your own project.

The more useful planning question is whether each section performs a necessary research function: does the introduction define the problem, does the literature establish the scientific context, are the data and methods explained sufficiently, are the results presented clearly, and does the discussion interpret the findings critically?

Thesis seminar and supervision

The current degree structure includes a 5 ECTS Master’s seminar alongside the 30 ECTS thesis. The seminar is part of the programme’s thesis support system rather than a substitute for individual supervision.

Your supervisor should help ensure that the thesis project progresses in a scientifically sound and realistic way. Students should nevertheless treat project management as their own responsibility. Keep a written working plan, document decisions about the research design, agree on milestones and raise problems early if data access, analysis, software, ethical requirements or project scope begins to change.

For computational work, this also means maintaining a reproducible working environment where appropriate. Keep clear records of data versions, preprocessing steps, model settings, scripts and major analytical decisions. The exact technical standard depends on the project, but a thesis becomes much easier to defend and revise when the analytical workflow is traceable.

E-thesis submission and assessment

Life Science Informatics is explicitly included in the University’s current E-thesis submission and assessment workflow. The final thesis is submitted through the University’s electronic process for examination.

The current Faculty of Science examiner framework states that a master’s thesis is assessed by two examiners. One examiner comes from the specified University academic ranks, such as professor, assistant or associate professor, research director, senior university lecturer or university lecturer, and the other examiner must hold at least a doctoral degree. The supervisor may act as one of the examiners.

LSI also has its own evaluation matrix published on the University’s thesis-grading page. The thesis is graded on the 0-5 scale. The assessment therefore is not simply about producing a long document. The quality of the research question, scientific framework, data and methods, results, discussion, academic writing and the research process matters.

From 1 August 2024, the University guidance for LSI states that the Dean approves the master’s theses.

2026-2027 submission timetable

LSI uses the current Faculty of Science submission timetable. Completed theses must be submitted by 23:59 Finnish time on the relevant deadline.

For the 2026-2027 academic year, the submission dates are:

• 3 September 2026
• 8 October 2026
• 12 November 2026
• 17 December 2026
• 21 January 2027
• 25 February 2027
• 11 March 2027
• 8 April 2027
• 7 May 2027
• 20 May 2027
• 24 June 2027

The associated examiner, grade-proposal and Dean-decision dates follow the Faculty timetable. The University also states that theses are not assessed in July, and supervision or feedback is not normally provided in July unless a faculty or programme specifically requires it.

If graduation timing matters, work backwards from the Dean-decision date rather than treating the submission date as the final administrative step. Leave time for supervisor feedback, final checks and the formal assessment period.

The maturity test and use of AI

A master’s degree also includes the required maturity-test process. Follow the current University and programme instructions for the version that applies to your language and prior-education background.

University guidance on generative AI allows tools to support learning and writing only within the applicable course, programme and faculty rules. The student remains responsible for the academic content and must follow transparency requirements. Restrictions for maturity tests are stricter and remain controlling.

For an LSI thesis, AI assistance must never replace scientific judgement. If a tool is used to help with language, code explanation, brainstorming or another permitted task, you still need to verify every analytical choice, calculation, source, claim and interpretation yourself. Never place confidential or sensitive research data into an external AI service unless the relevant research, data-protection and University rules explicitly allow it.

Referencing and technical presentation

The current LSI sources reviewed for this guide do not establish one universal citation style such as APA, MLA or Chicago for every LSI thesis. Do not select a style merely from the programme name.

Follow the current thesis-seminar, supervisor and research-field instructions. In computational and life-science work, consistency and traceability are more important than guessing a generic style: cite the original scientific literature, document software or packages when academically relevant, and make sure every figure, table, dataset and external method can be traced appropriately.

A practical LSI thesis workflow

A strong workflow for this programme is:

1. Define a researchable problem

Choose a question that can be answered within one semester of full-time thesis work. Make the scientific contribution explicit, even if the project is part of a larger research-group effort.

2. Secure supervision and research context

Find a supervisor whose expertise fits the project. Clarify access to data, computing resources, software, ethical permissions and any dependencies on a research group.

3. Build the scientific framework

Map the key literature and explain why the research question matters. Do not treat the literature review as a list of papers; use it to justify the problem, concepts and methodological choices.

4. Specify data and methods before full analysis

Define the dataset, inclusion/exclusion logic, preprocessing, models, statistical procedures or theoretical framework. Record changes as the project evolves.

5. Use the seminar and supervision iteratively

Bring concrete material to meetings: a question, outline, figure, preliminary result, code issue or written section. Iterative feedback is more useful than waiting until the thesis is almost finished.

6. Write alongside the research

Draft methods while implementing them, document data while cleaning it, and prepare figures as results stabilise. This reduces the risk that critical methodological details are forgotten.

7. Audit reproducibility and scientific claims

Before submission, check that results can be traced back to the stated data and methods, that figures agree with the analysis, that claims are supported by results or literature, and that limitations are explicit.

8. Plan backwards from the Faculty deadline

Allow enough time for supervisor feedback, revisions, E-thesis preparation and the administrative assessment cycle.

Final checklist

Before submitting an LSI thesis, confirm that:

• the project is within the approved 30 ECTS scope;
• the research question is explicit and answerable;
• the data or theoretical material and methods are described clearly;
• your own contribution is identifiable even if the work sits inside a research group;
• the literature is used critically and accurately;
• results and discussion answer the research question;
• computational or statistical steps are documented sufficiently for academic scrutiny;
• supervisor and seminar feedback has been addressed;
• the final document follows the current LSI/supervisor formatting and referencing instructions;
• the required maturity-test steps are complete;
• the E-thesis file is final and ready before the 23:59 Finnish-time deadline.

Scope of this guide

This guide reflects University of Helsinki material verified on 25 August 2026 for the 2026-2027 thesis process. Programme instructions, assessment systems and schedules can change. Current University, LSI, thesis-seminar and supervisor instructions always take priority where they are more specific or more recent.