Tampere University Electrical Energy Engineering Master's Thesis Guide: 30 ECTS and 2027 Curriculum Transition

The most important fact: the 2027 curriculum is not published yet

Tampere University now lists Electrical Energy Engineering as a 120 ECTS, two-year Master of Science (Technology) specialisation within Computing Sciences and Electrical Engineering. It is designed around electrification and the energy transition, bringing together smart grids, power electronics and electromechanics. However, there is a major timing issue that every 2027 applicant and future thesis student should understand: Tampere explicitly says that the Electrical Energy Engineering programme curriculum is still under preparation and will be published in the beginning of 2027.

That means a responsible thesis guide cannot pretend that the future module structure, compulsory-course list, focus-area credit split or programme-specific thesis seminar is already known. Tampere itself directs readers, in the meantime, to the current 2026-2027 Power Electronics and Electromechanics and Smart Grids curricula. Those pages are valuable evidence for the academic foundations of the new specialisation, but they are not permission to copy their exact 80-credit structures into the future programme.

What is already stable enough to use is the thesis regime. The new programme awards Master of Science (Technology), so Tampere’s current Technology master’s-thesis framework applies: the thesis is 30 ECTS and graded 0-5. This guide therefore separates what is already fixed from what must be rechecked once the new curriculum appears.

1. What Electrical Energy Engineering covers

The applicant-facing programme combines three closely connected areas: smart grids, power electronics and electromechanics. Tampere describes the field across the whole electricity chain: generation, transmission, storage, management, trading, conversion and use. The programme connects renewable-energy and market integration with smart grids, efficient electromechanical energy conversion and power converters.

The learning emphasis is both analytical and practical. Tampere describes modelling, simulation, design and practical engineering skills, and says theoretical studies are connected to simulation exercises and laboratory work with modern experimental platforms. Industry collaboration in the Tampere region is also highlighted, including thesis-work opportunities.

These programme themes create many possible thesis directions, but they do not require one thesis to cover all three areas. A strong 30 ECTS project normally has one primary technical problem and uses adjacent areas only where they are necessary to answer that problem.

2. How to use the current Power Electronics and Electromechanics curriculum

Until the new curriculum is published, Tampere links EE.PEE-S02 Advanced Studies in Power Electronics and Electromechanics as one of the current reference curricula. EE.PEE-S02 is current through 2026-2027 and is at least 80 ECTS. Its learning outcomes emphasise stationary and dynamic analysis of power-electronic devices and applying those methods to component and control design.

For thesis planning, this makes converter modelling, control, component stresses, efficiency, losses, stability, electromechanical conversion and design trade-offs clearly relevant subject territory. But the 80 ECTS figure belongs to the current EE.PEE-S02 module. Do not write it into a 2027 Electrical Energy Engineering study plan until Tampere publishes the new curriculum.

3. How to use the current Smart Grids curriculum

The second interim curriculum linked by Tampere is EE.EES-S03 Advanced Studies in Smart Grids, also current through 2026-2027 and at least 80 ECTS. It covers active network management, integration of renewable and distributed energy resources, power-electronics-enabled grid technology, distribution automation and ICT-supported smart-grid operation.

That gives a defensible foundation for thesis topics in power-system operation, flexibility, distributed generation, electric vehicles, grid-connected converters, network automation, energy markets, storage integration and related modelling or control questions. Again, the current module is evidence for subject scope, not the final credit architecture of the new Electrical Energy Engineering programme.

4. The thesis itself is 30 ECTS

The programme awards Master of Science (Technology). Under Tampere’s current Technology thesis framework, the master’s thesis is 30 ECTS. The thesis is an independent academic project completed under supervision and normally placed toward the final stage of MSc-level studies.

Thirty ECTS does not prescribe one universal method. Tampere’s Technology instructions allow empirical research, planning and implementation, and literature-based research. Electrical Energy Engineering therefore supports different designs: simulation and modelling, analytical studies, laboratory measurements, converter or control implementation, power-system case studies, optimisation, hardware-in-the-loop work, field data analysis, literature review, or combinations justified by the research question.

5. Do not assume the new programme requires both simulation and laboratory work

The applicant page highlights simulation exercises and laboratory sessions as features of the education. That does not establish a rule that every master’s thesis must contain both. A modelling thesis can be rigorous without a laboratory campaign if the question and validation are appropriate. A measurement thesis can be rigorous without a large simulation component. A literature-based thesis can also be defensible under the Technology framework when it uses a transparent scholarly method and answers a properly bounded question.

Choose the evidence from the question. If the thesis claims a converter controller improves dynamic performance, simulation and experimental validation may both be valuable. If it studies market operation under uncertainty, a well-constructed computational model may be more relevant than hardware. If it analyses existing evidence about a technology, the contribution may be a structured review rather than a prototype.

6. Power-electronics thesis design

A power-electronics thesis should make the technical boundary explicit. State the converter topology, voltage and power range, switching strategy, control method, operating points, component assumptions and relevant sampling or switching settings. If semiconductor losses, magnetic components, filters or thermal limits matter, define how they are represented.

For control research, distinguish steady-state performance from dynamic response. Define disturbances and reference changes before testing. Report overshoot, settling behaviour, tracking error, harmonic performance, stability margins, losses or other metrics only when they answer the research question.

A simulation result is not automatically evidence that hardware will behave identically. If you make hardware-relevant claims from simulation, explain model limitations. If experimental validation is available, describe instrumentation, calibration, bandwidth, sampling and uncertainty well enough for the result to be interpreted.

7. Electromechanics thesis design

Electromechanical topics can involve electrical machines, drives, magnetic design, energy conversion, losses, efficiency, thermal effects, mechanical constraints and control. Document the model geometry or machine type, material parameters, excitation, operating points and assumptions that materially affect the conclusion.

If finite-element or other numerical modelling is used, record mesh strategy, solver settings and convergence checks where relevant. If measurements are used, define torque, speed, voltage, current, temperature or vibration instrumentation and the conditions under which data were collected. Model-to-measurement disagreement should be analysed, not hidden.

8. Smart-grid and power-system thesis design

A smart-grid thesis needs a clearly defined network and scenario. State whether the model represents transmission, distribution, microgrid or another layer; define generation, load, storage, electric-vehicle or flexibility assumptions; and document the time resolution, network constraints and control or market rules that affect results.

When uncertainty is important, treat it explicitly. Renewable production, demand, prices and equipment availability can vary. A single deterministic scenario may be useful for debugging but weak for a general claim. Scenario analysis, sensitivity analysis, probabilistic modelling or robust optimisation may be appropriate depending on the question.

If the thesis claims a solution supports renewable integration or decarbonisation, separate the engineering result from the broader environmental conclusion. Demonstrating lower losses or greater hosting capacity is not automatically the same as proving a full life-cycle emissions benefit.

9. Energy markets and techno-economic studies

The new programme explicitly connects electricity engineering with energy management and trading. A market or techno-economic thesis should define the market design, price data, horizon, constraints, discounting or cost assumptions and decision perspective. Clearly distinguish historical observations from simulated future scenarios.

If you compare investment or operational strategies, test sensitivity to the assumptions that drive the result. Electricity prices, equipment cost, interest rate, degradation, curtailment and policy conditions can change the preferred solution. A conclusion that is valid only under one price year or one cost forecast should be reported that way.

10. Laboratory and hardware safety are part of research quality

Electrical-energy experiments can involve hazardous voltages, rotating machinery, stored energy, high currents and expensive equipment. Follow the laboratory’s approved procedures, supervision rules and access controls. Safety constraints are not administrative noise; they can define which operating points are ethically and practically testable.

Document relevant protection settings, measurement ranges and shutdown conditions when they influence results. Do not bypass interlocks or protective systems to obtain a cleaner data point. If the safe experimental range is narrower than the modelled range, state that limitation explicitly.

11. Reproducibility for simulation and computational work

Record the software and version, model files, parameter sets, solver settings, data sources and scripts needed to trace results. For optimisation, document objective functions, constraints, stopping criteria and initialization. For stochastic studies, record seeds or repetition strategy and report variation rather than only the best run.

Keep an experiment ledger linking figures and tables to model versions and parameter sets. Energy-system models can accumulate silent changes over months; without version control it becomes difficult to explain why a result changed after a supervisor review.

For proprietary engineering software, you may not be able to publish the software itself. You can still describe the version, model configuration, equations or assumptions, input data and evaluation procedure sufficiently for academic scrutiny.

Also distinguish verification from validation. Verification asks whether the numerical model, controller or implementation solves the equations and logic you intended; validation asks whether that representation is adequate for the physical or operational claim. Code-to-code agreement, analytical checks, benchmark cases and conservation checks can support verification, while laboratory data, field observations or trusted reference cases can support validation. State which level your thesis actually achieves instead of using the words interchangeably.

When several models are coupled, such as a grid model, converter model and market controller, record the interfaces and time scales between them. A conclusion can be dominated by coupling assumptions rather than by the algorithm being studied. If reduced-order or averaged models are used to make computation feasible, explain what dynamics they intentionally omit.

12. ITC.CEE.800: useful current evidence, but not yet a confirmed future requirement

Current CSEE offers ITC.CEE.800 Tools for theses, 5 ECTS and pass/fail. Its four parts are research methods, research ethics, information searching and career planning, and Tampere recommends completing the course before thesis work. All four parts are compulsory within that course.

However, the future Electrical Energy Engineering curriculum has not yet been published. Therefore this guide does not claim that ITC.CEE.800 is definitely a compulsory 5 ECTS part of the new specialisation. Use it as evidence of the current CSEE thesis-preparation infrastructure, then verify your actual 2027 Sisu plan once the new curriculum is released.

13. Seminar/course requirements must also be rechecked

Tampere’s Technology thesis instructions tell students to register for the thesis seminar or course included in their degree programme and explain that programmes without such a seminar/course may offer other forms of thesis support. Because the new Electrical Energy Engineering curriculum is unpublished, there is no defensible basis today for naming an Electrical Energy Engineering-specific seminar as compulsory.

Once your Sisu plan is available, check the exact seminar/course, registration method, presentation requirements and any opposition or attendance requirements. Do not import Automation’s AUT.020, Materials Science’s MSE.020 or an old CSEE implementation into this new programme.

14. Starting the Technology thesis

Before starting the thesis, Tampere expects sufficient subject competence. The Technology guidance says the bachelor’s degree should be completed or the required formal approval concerning the bachelor’s thesis should be in place. Start topic exploration early because finding an appropriate supervisor, company placement, laboratory access or dataset can take longer than expected.

A topic may come from Tampere research, industry or your own proposal. Company sponsorship does not change the academic standard. The university-appointed supervisor guides the academic work, while a company supervisor can support practical implementation and access.

15. Use the Thesis Supervision Plan as a control document

Tampere’s Technology thesis process requires a Thesis Supervision Plan prepared with the supervisor. Use it to define the topic, objectives, scope, meeting rhythm, feedback process, timetable and responsibilities. The responsible supervisor also nominates examiners at the beginning of the process.

For Electrical Energy Engineering, add resource dependencies: laboratory availability, measurement hardware, licenses, compute resources, proprietary models, company data, grid datasets or test equipment. If a critical resource becomes unavailable, know whether the fallback is simulation, a smaller experiment, different data or a revised question.

16. Research plan before implementation

Write a preliminary research plan and review it with the supervisors. Separate the engineering artefact from the academic evaluation. “Build a converter”, “create a grid model” or “implement a controller” is not yet the research question. State what the artefact allows you to test and what evidence would support or reject the claim.

Define baselines and metrics before seeing the final results. If you compare control methods, choose the operating scenarios and metrics first. If you compare grid strategies, define the network constraints and uncertainty. If you compare machine designs, define the performance and loss criteria. This reduces the temptation to choose only the result that looks favourable.

17. Personal data, operational data and confidentiality

Many electrical-energy theses use equipment data rather than human data, but personal data can still arise through interviews, user studies, customer-level smart-meter records or operational datasets. Agree data processing with the supervisor before collection and follow Tampere’s data-protection guidance.

Industry projects can also involve commercially sensitive network models, converter designs, source code, market data or operational security information. Tampere theses are public documents. Plan from the beginning which material can appear in the evaluated thesis and which confidential details must remain outside it while leaving enough public evidence for academic assessment.

18. AI use does not transfer engineering responsibility

Tampere permits AI applications under its current study guidance, but the student remains responsible for the thesis. Agree important AI-use principles with the primary supervisor and follow acknowledgement requirements. Do not treat AI-generated equations, component values, citations, code or engineering explanations as verified evidence.

For engineering code, test generated scripts and controllers before relying on them. For literature work, verify every citation. Do not upload proprietary schematics, unpublished company data, credentials or personal data to external AI services without an approved basis.

19. Writing, maturity test and presentation

Write while modelling, experimenting or analysing. Keep methods and assumptions current as the system changes. A final thesis should allow a reader to understand what was studied, why the method was appropriate, what evidence was produced and which limitations constrain the conclusion.

A maturity test is part of the master’s-thesis process. For international Technology master’s students, Tampere’s current guidance states that the thesis abstract serves as the maturity test at MSc stage; the examiner assesses its content and there is no language checking in that route. Students with a different language-history situation should still check the current maturity instructions that apply to them.

20. Turnitin, Trepo and the final file

After supervisor permission, the final thesis goes through Turnitin for originality checking. Similarity requires academic interpretation; a percentage alone is not a plagiarism decision. Once the supervisor has reviewed the Similarity Report, the final thesis is deposited in Trepo, Tampere University’s institutional repository.

You must be registered as attending to submit the thesis for examination and receive credits. Tampere requires a PDF/A archival file. Check conversion early because fonts, equations, vector graphics and embedded objects can create problems.

21. Examination and grading

The Electrical Energy Engineering thesis follows the Technology 0-5 scale; this 0-5 thesis grading is distinct from pass/fail course grading: 1 Sufficient, 2 Satisfactory, 3 Good, 4 Very Good and 5 Excellent. Do not import Architecture’s pass/fail exception. Course grading is also separate: a pass/fail preparation course such as current ITC.CEE.800 does not determine the thesis grade.

Tampere uses examiners and formal faculty approval. The examiner statement and proposed grade are sent to the student’s tuni.fi email. If the student is dissatisfied, the current process provides a seven-day written-response window before final approval and a separate 14-day appeal route after the grade under the applicable rules.

22. Timeline and the 2027 curriculum recheck

The current Technology thesis page gives examiners 21 days to assess the master’s thesis, extended to 28 days where the additional maturity-test route applies. Summer can involve longer practical processing. These are assessment windows, not the total duration of thesis work or a guarantee of graduation on a specific date.

For this particular programme, add one more checkpoint to the normal thesis workflow: recheck Tampere’s new Electrical Energy Engineering curriculum when it is published in early 2027. Confirm the final advanced-studies structure, compulsory courses, thesis-preparation course, seminar/course and any programme-specific instructions in Sisu before relying on a 2026 planning document.

If the published 2027 curriculum differs from this interim guide, the newer curriculum controls immediately. In particular, recheck whether the two current 80 ECTS reference modules are replaced, merged or reorganised, whether ITC.CEE.800 is included, and whether a new Electrical Energy Engineering seminar/course is introduced. Keep a dated copy or note of the curriculum version you used when planning the thesis so that later changes do not create ambiguity about which requirements applied to your cohort.

The safe rule is simple: use the new applicant page for the programme identity and academic direction; use the current Technology thesis instructions for the already-established 30 ECTS thesis process; use EE.PEE-S02 and EE.EES-S03 only as interim evidence of subject foundations; and let the future published curriculum determine the exact 2027 course structure. That keeps the guide useful now without turning an unpublished curriculum into fabricated certainty.