Tampere University Materials Science and Engineering Master’s Thesis Guide: 30 ECTS, MSE.020, Turnitin and Trepo

What this guide covers

Tampere University’s Materials Science and Engineering master’s programme is a 120 ECTS Master of Science (Technology) degree taught in English. Its thesis follows Tampere’s Technology/Architecture diplomityö framework and carries 30 ECTS. The programme also has a separate MSE.020 Master’s Thesis Seminar, which is 0 ECTS and pass/fail. The thesis itself is not pass/fail: as a Technology thesis it uses Tampere’s 0-5 grading scale.

This guide uses the current 2026-2027 curriculum and current university-wide thesis rules. It covers materials-specific research planning, experimental and computational evidence, the five MSE.020 requirements, supervision, maturity, AI use, Turnitin, Trepo, archiving and examination.

Programme and degree structure

The current programme leads to the Master of Science (Technology) degree and is planned for two years of full-time study. Materials science is presented as an interface between natural sciences and engineering. Students learn to retrieve and evaluate scientific information, choose methods, analyse evidence critically and follow research and professional ethics.

The programme covers production, structure, technical properties and industrial applications of structural and functional materials. Students study how microstructure is affected by manufacturing and how microstructure controls performance. Modern materials analysis and testing are therefore important parts of the education, and Tampere explicitly describes hands-on training as a key feature.

Students can tailor the curriculum through a materials-science focus area and a supporting minor. That flexibility means a thesis should be positioned according to the student’s actual study plan and supervisor expertise rather than assuming one universal material group or method.

The thesis is 30 ECTS

Materials Science and Engineering follows the Tampere Technology thesis regime: 30 ECTS. Do not use the university’s non-technical 20-40 ECTS range, and do not add MSE.020 credits to the thesis because the seminar is 0 ECTS.

The correct distinction is: a 30-credit Technology thesis plus the current Materials Science seminar process. The public thesis rules do not impose one universal page count. Scope should be managed through the 30-credit workload, research plan, supervision plan, evidence needs and agreed project timetable.

What can a Materials Science thesis look like?

Tampere permits Technology theses based on empirical research, planning and implementation, or review of existing research literature. Materials Science therefore supports more than laboratory experimentation.

An experimental thesis may study processing, microstructure, mechanical performance, degradation, wear, surfaces, polymers, composites, metals, ceramics or functional materials through suitable characterization and testing. A modelling or simulation thesis may investigate material behaviour, structure-property relationships or process-performance relationships. A computational thesis may analyse imaging, spectra, databases or material-property data. An industrial thesis may validate a manufacturing or quality-control method. A literature-led thesis can also be defensible where the research question is genuinely answered through critical synthesis.

Hands-on training in the programme does not mean every thesis must create a new material, use a laboratory or produce a physical prototype. The method must fit the question.

Choose the research problem before choosing instruments

Materials projects often become instrument-driven: a student has access to microscopy, spectroscopy, mechanical testing, thermal analysis or a simulation package and then searches for a question that justifies using it. Reverse that order.

Define the material or system, the scientific or engineering problem, the knowledge gap, the comparison or intervention, and what evidence would answer the question. Only then select characterization, processing, modelling or statistical methods. A technique is valuable because of the information it provides, not because it is sophisticated.

For example, microscopy may reveal morphology or damage, but the thesis still needs to explain which features matter and how they connect to performance. A tensile test generates a stress-strain curve, but the conclusion depends on sample definition, repeatability, uncertainty, comparison and interpretation. A finite-element or molecular model is useful only when assumptions and validation are explicit.

When you are academically ready to start

Tampere expects sufficient subject expertise before the thesis begins. Current Technology instructions also require the bachelor’s degree to be completed or the bachelor’s thesis formally approved before the master’s thesis starts.

In Materials Science, readiness also means knowing enough about the relevant material family, processing route and measurement or modelling methods to make independent decisions. If a project requires equipment or analysis techniques that are completely new, the research plan should reserve time for training, pilot measurements and method validation.

Supervisors and academic responsibility

Tampere appoints one or two supervisors, with one serving as primary supervisor. They are selected according to the thesis topic and relevant advanced studies. The primary supervisor normally also serves as an examiner.

A company or external project may have an additional practical supervisor. That person can help with material supply, industrial processing, test access and project context, but does not replace the university’s academic supervision.

The student remains responsible for the thesis. Keep a decision log of scope changes, failed experiments, revised methods and analysis choices. This is especially valuable in materials projects where early assumptions often change after initial characterization.

The Thesis Supervision Plan is mandatory

Technology students prepare a Thesis Supervision Plan with the supervisor. It records supervisory practices, meeting frequency, key stages and expected completion timeframe. The responsible supervisor also nominates examiners at the beginning of the thesis process.

For Materials Science, useful milestones include literature framing, material/sample procurement, safety and equipment access, pilot measurements, final experimental or computational protocol, data-quality review, analysis, seminar presentations, manuscript review and final submission.

Identify external dependencies. Samples may arrive late, equipment may be booked or unavailable, a furnace run may fail, company material may change, or a characterization method may prove unsuitable. Agree fallback methods early enough that the thesis can still answer a coherent research question.

Also define which results are essential and which are optional. A thesis can become unfinishable when every available characterization technique is treated as mandatory. Separate the minimum evidence needed to answer the research question from additional analyses that would strengthen interpretation if time and equipment permit. This creates a realistic stopping rule and protects the manuscript schedule from endless measurement cycles.

For company-funded projects, agree the publication boundary at the same stage. Decide whether compositions, processing parameters, supplier names, product identifiers and raw industrial data may appear in the public thesis. If some cannot, design figures and comparisons from the beginning so the academic evidence remains interpretable without revealing restricted information.

Build a research and validation plan

The preliminary research plan should describe background, question, literature, materials or data, methods, analysis, ethics/data issues, timetable and intended outputs. For materials work, add an explicit validation and uncertainty plan.

If experiments are central, decide sample numbers, controls or reference materials, replication strategy, conditioning, calibration and exclusion rules before the final dataset exists. Not every thesis needs inferential statistics, but every quantitative thesis should make measurement reliability and uncertainty visible.

If modelling is central, document assumptions, boundary conditions, parameter sources and validation data. If image or spectral analysis is central, document preprocessing and classification/measurement choices. If the work is literature based, define search and selection logic so the evidence base is reproducible enough for academic evaluation.

For comparative materials studies, define the comparison logic before testing. If heat treatment A is compared with heat treatment B, keep geometry, conditioning, test speed and other relevant variables controlled or explain why they differ. If several material batches are used, record batch identity because batch-to-batch variation can be an alternative explanation for an apparent process effect. For destructive testing, think about how many independent specimens are needed to distinguish a material trend from specimen-level scatter.

A useful validation hierarchy is to ask three questions. First, is the measurement itself trustworthy? That requires calibration, appropriate resolution and quality control. Second, is the observed difference repeatable across relevant samples or conditions? Third, does the evidence actually support the mechanism or engineering conclusion being claimed? Keeping these levels separate prevents a statistically neat dataset from being overinterpreted as proof of a material mechanism.

Laboratory safety, samples and research integrity

Materials work can involve heat, pressure, chemicals, mechanical testing, machining, radiation-based characterization or specialised equipment. Safety requirements depend on the actual method and laboratory. Complete the relevant induction and follow local equipment instructions before generating thesis data.

Maintain traceability between samples and results. Use consistent sample identifiers, preserve metadata about processing history and test conditions, and record deviations. A polished final graph cannot repair lost provenance.

Where human or personal data are involved, Tampere’s data-protection rules apply. Many materials theses will not involve personal data, but company projects can include employee interviews, user studies or other identifiable information, so the correct rule is to check the actual research design.

MSE.020 Master’s Thesis Seminar

The current MSE.020 Master’s Thesis Seminar is 0 ECTS, taught in English and graded pass/fail. All parts of its completion option are compulsory.

There are five published requirements. First, follow at least four final presentations by other participants. Second, act as opponent for one final presentation. Third, give a brief introductory presentation soon after entering the seminar. Fourth, give a final presentation close to completion. Fifth, participate in TUNI Library information-retrieval training, preferably early after the thesis topic has been settled.

The seminar is not administrative decoration. The introductory presentation tests whether the question, materials and method are coherent. Opposition trains critical evaluation. The final presentation forces the student to distinguish results from interpretation and to explain limitations. Observing other candidates also exposes students to current research problems and laboratory practices across materials science.

How to use the opponent role well

When acting as opponent, do more than identify formatting issues. Ask whether the research question matches the evidence, whether sample preparation is controlled, whether the chosen characterization method can support the claim, whether comparison groups are fair, and whether uncertainty or alternative explanations have been considered.

Use the same questions on your own thesis. The opponent requirement is valuable because it makes evaluation criteria visible before your own final examination.

Writing and presenting technical evidence

Tampere directs Technology students to its Guide to Writing a Thesis in Technical Fields and designated MSc thesis template. Materials Science writing should make the evidence chain clear from material preparation to measurement, analysis and conclusion.

Figures should be interpretable without guesswork. Micrographs need scale information and relevant preparation details; plots need units, conditions and meaningful labels; tables should distinguish measured from derived quantities. If a result depends on normalization, baseline correction, image segmentation or fitted parameters, explain the processing sufficiently for examiners to understand what transformed the raw data.

Avoid turning the thesis into a laboratory notebook. The goal is not to report every instrument action, but to preserve the methodological information needed to judge reliability and reproduce the reasoning.

AI use in a Materials Science thesis

Tampere permits AI support under defined conditions. Thesis use must be agreed with the primary supervisor and properly acknowledged. Students must not upload personal data, confidential company information or protected third-party material to external AI tools.

AI-generated material is not a direct scholarly source. Students remain responsible for their own analysis. Current guidance permits discussion of preliminary analysis and draft improvement but does not allow AI to complete the student’s analysis, generate the final summary directly, or rewrite or complete the draft.

For Materials Science, this applies to coding, image analysis, data cleaning, model assistance and literature support as well as prose. If AI contributes to code or processing logic, the student must understand, test and validate the resulting workflow.

Maturity test: confirm your route

A maturity test forms part of the master’s thesis process. For international master’s students in Technology/Architecture, Tampere states that the thesis abstract serves as the maturity test. The examiner assesses its content and the faculty records the approved result in Sisu; this route has no language checking according to the Technology thesis instructions.

Students who need language checking use the university’s separate electronic EXAM route. Confirm your own implementation in Sisu rather than assuming that every student follows the same maturity route.

Turnitin comes before Trepo

The completed thesis undergoes an originality check in Turnitin before formal examination. The supervisor reviews the similarity report. The similarity percentage is not an automatic plagiarism judgement; matches must be interpreted.

Materials theses can contain repeated method descriptions, standards terminology, supplier descriptions and technical definitions. Proper citation and original synthesis still matter. Resolve problematic overlap, code attribution and third-party figure permissions before final submission.

After preliminary examination, revisions and the primary supervisor’s permission, proceed to repository submission.

Trepo is the examination and archiving route

The final thesis is deposited in Trepo. The student must be registered as attending to submit the thesis for examination and receive credits.

The University Library normally sends the Trepo access email within three working days. Forward the access information to the examiner or examiners promptly. All master’s theses are permanently archived electronically, and the archival file must be PDF/A.

Examiner timeline and 0-5 grading

The normal examiner assessment window is 21 days. If the student must also complete a separate maturity test as part of the master’s thesis process, the window is 28 days. These are examiner-assessment periods, not guaranteed total graduation times.

Materials Science and Engineering uses the Technology thesis 0-5 scale: 1 Sufficient, 2 Satisfactory, 3 Good, 4 Very Good and 5 Excellent. Do not import Architecture’s pass/fail exception, and do not confuse the pass/fail MSE.020 seminar with the thesis grade.

Written response and appeal rights

The examiners’ statement and proposed grade are sent to the student’s tuni.fi email. A student dissatisfied with the proposed assessment may submit a written response within seven days of the email. The Dean may decide on the available statement, request further examiner comments or appoint an additional examiner.

After the final decision, a written appeal to the Faculty Council may be submitted within 14 days from when the student could access the result and information about application of the criteria. Once approved, the thesis is final and cannot be resubmitted.

Public thesis and confidential materials data

Tampere treats theses as public documents, although public-document status and open-web availability are separate questions. Online availability depends on student permission and possible publisher restrictions.

Company projects can involve proprietary compositions, process windows, supplier data, unreleased products or confidential microscopy and testing results. Keep restricted information outside the assessable public thesis. An NDA does not automatically turn the academic thesis into a confidential document.

Plan this boundary before experiments. If essential evidence cannot be published, agree a publishable abstraction, anonymised comparison or alternative dataset with the supervisor and company before the final analysis depends on it.

Research data after the thesis

The thesis is permanently archived, but student-controlled research data are separate. Where the student is the data controller, Tampere recommends retaining thesis research data for five years in certain justified circumstances so research integrity can later be checked.

For materials research, retain enough metadata to interpret stored data: sample identity, processing conditions, instrument settings, calibration information and analysis versions. Company ownership, laboratory storage rules and data-protection obligations can affect what may be retained and where.

A practical Materials Science workflow

A reliable sequence is: verify academic readiness; choose a focused materials problem; secure the right supervisor; complete the Thesis Supervision Plan and examiner nomination; register for MSE.020 early; attend other final presentations; prepare the research and validation plan; resolve sample access, equipment, safety, confidentiality and data issues; run pilot work; lock the final method; collect traceable evidence; analyse uncertainty and alternative explanations; give the introductory and later final seminar presentations; complete the opponent role and Library training; write with the technical-fields guide; agree and acknowledge AI use; complete the applicable maturity route; obtain supervisor permission; run final Turnitin; prepare PDF/A; submit in Trepo while registered as attending; forward the Library access email; and monitor the examiner and graduation timelines.

Final checklist

Before submission, confirm that you follow the current 2026-2027 Materials Science and Engineering curriculum; the degree is 120 ECTS; the thesis is 30 ECTS; thesis grading is 0-5; MSE.020 is completed separately as 0 ECTS/pass-fail with all five requirements; supervisor and examiner arrangements are documented; the research plan defines materials/data, methods and validation; sample provenance and uncertainty are controlled; safety and confidentiality issues are resolved; AI use follows current rules; maturity is complete; Turnitin has been reviewed; the final file is PDF/A; Trepo submission occurs while registered as attending; and enough time remains for examination plus graduation processing.

A strong Materials Science thesis is not defined by the number of instruments used. It is defined by a clear materials problem, an appropriate method, traceable evidence, critical analysis and conclusions that are no broader than the data can support.

That also means a smaller, carefully controlled study can be stronger than an ambitious project with inconsistent samples, missing metadata or weak validation. Examiners need to see how each major conclusion follows from evidence that is sufficiently reliable for the claim being made.