University of Oulu Finance Master's Thesis Guide: 721950S, 30 ECTS, OBS Seminar, Maturity Test and Laturi

Quick answer: what Finance students need to know

For the University of Oulu Finance master’s programme, the current programme object is 51740 / IMP2026FINANCE and the degree is 120 ECTS over two years. The exact thesis is 721950S Master’s Thesis, Finance, worth 30 ECTS, with current implementation 721950S-3007 for 2026-08-01 to 2027-07-31. Finance does not use a separate ECE-style thesis-seminar course: seminar work is built into 721950S. The related maturity test is 721010S, 0 ECTS, PASS/FAIL.

1. What this guide covers

This guide is for the current 2026-2027 University of Oulu Finance MSc structure and the Oulu Business School thesis process that applies to Finance. It combines the exact Peppi programme tree, the Finance thesis and maturity-test objects, current OBS supervision instructions, Laturi, graduation guidance and Finance-specific method evidence. It does not import thesis codes or seminar rules from Business Analytics, Accounting, Electronics and Communications Engineering, or another programme simply because some University-wide processes are shared.

2. Exact Finance programme

The exact programme root is 51740, code IMP2026FINANCE, named Finance (MSc) 2026-2027. The public programme page identifies the award as Master of Science (Economics and Business Administration), with a two-year duration and 120 credits. The Peppi root also reports exactly 120 ECTS, so there is no alternative-branch aggregation warning like the one that appears in some engineering structures. Students should still follow their own current PSP and current academic-year instructions.

3. Programme structure

The current tree divides the degree into Advanced Studies in Finance, 51741 / IMP2026FINANCE-1001, 114 ECTS, plus General Studies, 51744 / IMP2026FINANCE-1002, 6 ECTS. The advanced module contains the Finance core, the 30 ECTS thesis, the 0 ECTS maturity test and two optional-study categories. This structure matters because a course appearing in an optional category is evidence of an available method or domain, not proof that every Finance student must use that method in the thesis.

4. Exact thesis object

The exact thesis is 721950S Master’s Thesis, Finance, object 8355, worth 30 ECTS. It is an Advanced Studies course in Finance, uses the 1-5/FAIL assessment scale and lists English as the primary teaching language. The current course record lists Petri Sahlström as person in charge. The course is explicitly targeted to students of the Master’s programme in Finance, so this is the correct thesis object for this guide rather than another OBS thesis code.

5. Current thesis implementation

The current realization is 721950S-3007, displayed for 2026-08-01 through 2027-07-31. These dates identify the current implementation window, not a universal promise for every future cohort. A student starting later should recheck Peppi before relying on the code or dates. The course itself also notes discipline-based kick-off or information sessions in September and May, while the detailed progress timing is agreed at the kick-off.

6. Entry qualification

The thesis course lists 723020A Bachelor’s Thesis or another university degree as its qualification requirement. That wording should be read as the official course prerequisite statement, not expanded into extra informal requirements. If a student’s prior degree, transferred studies or PSP creates an unusual case, the safer route is to resolve eligibility with the programme before assuming that a similar course from another institution or programme automatically satisfies the current Finance process.

7. Seminar is embedded in 721950S

Finance has an important programme-specific boundary: seminar work is inside 721950S. The thesis course says students participate in seminar sessions, present progress and receive supervisor guidance and feedback. The current Finance programme structure does not contain a separate Finance thesis-seminar course that adds extra ECTS. Therefore, do not import 521362S, the Electronics and Communications Engineering seminar, or any other programme-specific seminar code into Finance.

8. The three staged reports

The Finance thesis course requires three staged reports: research plan, intermediate report and manuscript. This gives the project a clear progression. The research plan should define the question, theory, data and method. The intermediate report should show real analytical progress and unresolved issues. The manuscript stage should integrate literature, methods, evidence, results and interpretation. Treating these as three versions of the same introduction wastes the structure that OBS provides for feedback.

9. OBS group supervision

Current Oulu Business School guidance says the primary master’s-thesis supervision model is group supervision including seminar work. Supervised groups start in autumn under the current instructions, and a supervisor is appointed at the initial stage. Group supervision does not mean the thesis becomes group-authored. Each student still owns an individual research problem and manuscript, while the group provides structured presentation, discussion, opponent feedback and supervisor interaction around defined milestones.

10. The four OBS stages

OBS describes four supervision stages: topic selection, research plan, intermediate report and manuscript. Topic selection is the exploratory stage where a feasible research problem is shaped with supervisory input. The remaining stages combine group and individual supervision. For planning purposes, this means the thesis should be managed as a sequence of decisions, not as one long writing task. Each stage should reduce uncertainty about scope, method, evidence and interpretation before the next stage.

11. Choosing a Finance topic

A good Finance thesis topic should be narrow enough for 30 ECTS and should connect a finance question to evidence that can realistically be obtained and analysed. The curriculum supports topics in corporate finance, asset pricing, risk, portfolio management, behavioural finance, financial statements, sustainable finance, real estate and international finance, among others. Course coverage is useful for idea generation, but it does not force a student to stay inside one course topic or to copy a course project.

12. Research plan

The research plan should align six elements: a bounded research question, relevant finance theory, prior empirical evidence, feasible data, a defensible method and a realistic contribution. The 721950S learning outcomes emphasize selecting appropriate research methods rather than following one prescribed technique. A useful plan therefore explains why the method can answer the question, what assumptions it needs, what data are available, what limitations are foreseeable and what decision will be made if the preferred data or identification strategy fails.

13. Intermediate report

The intermediate report should demonstrate that the thesis has moved beyond planning. Depending on the design, that may mean a developed literature framework, a cleaned dataset, defined variables, preliminary descriptive analysis, an implemented model, an experiment design, or a completed first empirical pass. The purpose is not to present final conclusions too early. It is to expose problems while there is still time to repair the research design, narrow the question or improve the evidence.

14. Manuscript stage

The manuscript stage should function as an integrated research argument rather than a collection of disconnected chapters. The research question, theory, hypotheses or expectations, data, method, results and conclusions should point in the same direction. Claims in the discussion should be traceable to the analysis, and limitations should identify where the evidence stops. Because OBS requires manuscript presentation in the seminar, the student should also be able to explain the study orally without relying on dense slides or unexplained statistical output.

15. Presentation requirement

OBS treats presentation as a mandatory part of the supervision process. Oral presentation skills are evaluated at the latest in the intermediate or manuscript stage, and the final manuscript must be presented in a thesis seminar. A strong presentation should state the problem, why it matters, the data, method, core result, limitation and contribution in a compact sequence. If the student cannot explain what a coefficient, factor, portfolio result or valuation output means, the written analysis is probably not yet sufficiently clear.

16. Opponent duty

Current OBS instructions require students to act as an opponent to another student’s thesis at least once and prepare an opponent report of about one A4 sheet. This is not just an attendance formality. Opponent work develops the same critical-reading skills needed for the student’s own literature review and discussion section. Useful comments address the clarity of the research question, consistency between theory and method, evidence quality, interpretation, missing robustness checks and whether the conclusions stay within the limits of the design.

17. Independent route boundary

OBS allows an independent alternative only after separate discussion with the Head of master’s thesis research. Under the current wording, a student using that route gives up the right to the normal process supervision and commits to working more independently, while still preparing the required manuscript presentation. This is an exception, not the default. A student should not quietly stop attending the normal process and assume that an independent route has been created automatically.

18. Laturi

The University uses Laturi for the master’s-thesis process. Current general guidance says the process is started there and that guidance, monitoring, reviewing, Turnitin Similarity and publication are handled through the updated Laturi workflow. OBS guidance also links final upload permission to the supervisor’s comments and any required corrections. Therefore, a locally saved PDF or a supervisor-approved draft is not automatically the same thing as a formally submitted and processed thesis in Laturi.

19. Maturity test object

The exact related maturity course is 721010S Maturity Test, Master’s Degree, Business, object 5194. It is 0 ECTS and assessed PASS/FAIL. The current Finance programme tree includes it with the thesis-related advanced studies, and the current course information identifies Petri Sahlström as the Finance-specific person in charge. The current realization is 721010S-3006 for 2026-08-01 to 2027-07-31.

20. When to take the maturity test

Current OBS instructions say the master’s maturity test can be completed after the manuscript presentation has been accepted by the supervisor. That sequencing matters. The maturity test is not a substitute for a thesis stage and should not be scheduled merely because the course is visible in Peppi. Agree the timing with the supervisor after the required manuscript presentation milestone has been reached and verify that the correct 721010S exam has been created for the student.

21. Maturity test practical process

OBS currently describes the maturity test as an electronic exam in the camera-supervised room PR106. The student agrees the timing with the supervisor. The supervisor creates a personal exam in the Exam system and publishes it for a defined period, after which the student receives the notification and reserves a date, time and workstation through the Exam calendar. Because this is a managed examination workflow, students should follow the current booking instructions rather than treating it like an ordinary take-home assignment.

22. Maturity language rule

The maturity-course API lists Finnish as the primary teaching language, but that field must not be turned into a universal rule. Current OBS-specific guidance says the maturity test is written in Finnish or Swedish, unless the student received previous education in a foreign language, in which case English can be used. The student’s own language route therefore depends on the current OBS rule and personal education-language background, not on one isolated API label.

23. What the maturity test evaluates

For OBS master’s students, the maturity task is designed to test written presentation of the thesis outcome in relation to prior scientific research and its possible use in business life or economic decision-making. The practical implication is that the student should be able to explain the thesis contribution without reproducing the whole manuscript. A concise answer needs the central result, its relationship to existing research, its limits and a reasoned statement about practical or decision-making relevance.

24. Method choice is not one-size-fits-all

The Finance thesis learning outcomes require students to choose and apply appropriate research methods. The curriculum strongly supports empirical and quantitative work, but the official thesis wording does not say every thesis must use econometrics, a fixed regression model, primary data, secondary data or a particular software package. The defensible rule is simpler: the method should fit the research question, theory, available evidence and limitations, and the student should be able to explain why that method is appropriate.

25. Fundamentals of Finance as a base

721957S Fundamentals of Finance covers present value, asset pricing, interest rates, fixed-income securities, investment criteria, risk and return, CAPM, APT and cost of capital. These concepts can anchor theory and variable choice in many Finance theses. For example, a capital-cost study, valuation analysis or risk-return question should define the theoretical mechanism before estimating a model. The course is a conceptual foundation, not a requirement that every thesis reproduce CAPM or another textbook model.

26. Principles of Econometrics

721066S Principles of Econometrics provides a direct methodological base for empirical Finance work. It covers regression for cross-sectional data, binary dependent variables, time-series contexts, statistical software and critical assessment of model validity and bias. A thesis using regression should therefore report more than coefficient signs. It should explain the sample, variable construction, specification choice, assumptions, plausible biases and how the model relates to economic theory. This course evidence supports econometrics as an available method, not a universal requirement.

27. Corporate Finance

721963S Corporate Finance covers signaling, agency theory and agency costs, capital structure, dividend policy, mergers and acquisitions and behavioural aspects of corporate decisions. Its seminars also use article reviews and peer review. This environment supports thesis questions about financing decisions, governance conflicts, payouts, corporate events or managerial behaviour. A strong project should convert a broad theme into a testable or analytically bounded question and avoid causal language unless the research design can support it.

28. Asset Pricing

721383S Asset Pricing covers the foundations of asset-pricing theory, major models, empirical tests, portfolio sorts, anomalies, cross-sectional stock returns and time-series predictability. A thesis in this area should define return conventions, factor construction, sampling frequency, benchmark choices and the economic meaning of estimated effects. If the study tests an anomaly, it should be clear whether the result is in-sample description, out-of-sample evidence or a strategy claim. Those are different levels of evidence.

29. Advanced Financial Statement Analysis

721189S Advanced Financial Statement Analysis develops analysis of profitability, value creation, key drivers, credit risk and firm value. A financial-statement thesis should define accounting variables reproducibly, align fiscal periods and explain how unusual items, industry structure or accounting choices affect comparability. Ratios are not self-interpreting. Their meaning depends on measurement choices and context. If firm value or credit risk is the outcome, the thesis should explain why the selected accounting information is expected to relate to that outcome.

30. Financial Risk Management

721960S Financial Risk Management covers forwards, futures, options, swaps and derivatives-pricing techniques. Thesis questions in this domain may examine hedging, pricing, volatility, exposure or risk-measure performance, but the assumptions must be explicit. State the instrument, horizon, pricing framework, data frequency, market convention and risk measure. If a model is compared with observed prices or realised outcomes, distinguish model error, parameter estimation error and changing market conditions rather than treating one deviation as proof that the theory fails.

31. Behavioral Economics and Finance

BO00AR00 Behavioral Economics and Finance covers biases, heuristics, prospect theory, narratives, investor behaviour, behavioural corporate finance and experimental economics. Its final project may be a literature review or a small-scale empirical study. This supports several thesis designs, but behavioural constructs need careful operationalisation. A survey, experiment, market-data study and literature review answer different questions. A thesis should not label a market pattern as a cognitive bias unless the design actually provides evidence for that behavioural mechanism.

32. Portfolio Management

721952S Portfolio Management includes mean-variance optimisation, factor theory, return predictability, risk management, performance evaluation, equity strategies and asset allocation. Students also implement and test an equity trading strategy in the course environment. A thesis using backtesting should document the investable universe, rebalance rule, formation and holding periods, benchmark, transaction-cost treatment and protections against look-ahead bias. A high historical return alone is not sufficient evidence of a robust investment strategy.

33. Empirical Research

721073S Empirical Research is especially relevant to thesis preparation. It covers the nature of empirical research, data gathering, literature review, library databases, academic writing, article analysis and financial analysis using Excel, R and Python. The course explicitly connects these methods and tools with thesis-type academic reporting. This supports a reproducible workflow: record source data, cleaning rules, transformations and analysis steps. It does not mean that every Finance thesis must use all three software tools.

34. Applied Econometrics as an optional method

721351S Applied Econometrics is an optional course in the current structure. It covers cross-sectional, time-series and panel methods, with particular emphasis on financial-economics applications, and uses EViews and R tutorials. The course explicitly says it can lower the threshold for empirical analysis in an MSc thesis. This makes it strong evidence for advanced econometric options, but optional status matters. Students should use these techniques when the research question and data justify them, not because the course exists.

35. Quantitative Economics

721072S Quantitative Economics develops computational and quantitative problem solving using Python and relevant digital and AI-based applications. For a Finance thesis, this can support simulation, numerical analysis, data processing or model implementation where appropriate. The key boundary is methodological transparency. If code or AI-assisted tools influence analysis, the thesis still needs clear variable definitions, reproducible transformations, documented assumptions and human verification of outputs. Tool sophistication does not replace research design.

36. Sustainable Banking and Financial Economics

BO00AR11 Sustainable Banking and Financial Economics covers banks, financial intermediation, regulation, alternative and decentralised finance, ESG information, sustainable finance, central banking and climate-related financial themes. A thesis in sustainable finance should define what the sustainability construct means in the study and how it is measured. ESG ratings, green classifications, carbon exposure and policy variables are not interchangeable. The chosen construct should match the theory and the claim the student wants to make.

37. Real Estate Economics and Investments

BO00AV03 Real Estate Economics and Investments covers housing and commercial real estate, valuation, discounted cash flow, cap rates, real-estate investment, portfolio context and sustainability. A thesis should distinguish direct property markets from publicly traded real-estate securities when that distinction affects the question. Valuation studies need transparent cash-flow, discount-rate and terminal assumptions. Price or return studies need clear geography, property type, period and data source. Real estate is not one homogeneous asset class.

38. Mathematical Economics

721338S Mathematical Economics covers linear algebra, differential and integral calculus, optimisation and dynamic analysis. These tools can support theoretical or quantitative Finance work, especially where the student needs to derive an optimisation problem or understand model structure. The course is optional in the Finance programme, so mathematical sophistication should serve the research question. A simpler, well-identified empirical design is stronger than unnecessary formalism that is not connected to the evidence or conclusion.

39. International Macroeconomics and Finance

721350S International Macroeconomics and Finance addresses current accounts, small open economies, exchange rates, terms of trade, uncertainty, international financial markets and monetary unions. Thesis work in this area should define the country or country set, period, frequency and macro-financial mechanism before collecting variables. International datasets often mix revisions, currencies and reporting conventions, so data provenance matters. Results from one crisis, policy regime or currency area should not automatically be generalized to all periods.

40. Globally Responsible Business

721070S Globally Responsible Business brings social, environmental and economic responsibility into the business curriculum and explicitly includes Finance among the disciplines. This matters even for a thesis that is not labelled sustainable finance. Financing, investment, valuation and risk decisions can have responsibility dimensions, and the thesis course itself requires responsible and ethically justified research decisions. The practical task is to identify relevant responsibility issues without forcing an ESG framing onto a question where it does not belong.

41. Data selection and access

A Finance thesis should select data after the research question and theoretical mechanism are sufficiently clear. Possible evidence can include market prices, accounting statements, macroeconomic series, firm events, survey responses, experiments, institutional records or company data, but the current sources do not prescribe one universal type. Before committing to a design, verify access, coverage, frequency, identifiers, missingness and legal or confidentiality limits. A sophisticated model cannot rescue a dataset that cannot answer the question.

42. Reproducibility

Reproducibility is especially important when the analysis involves many data filters, transformations or model specifications. Keep a clear record of the raw source, inclusion and exclusion rules, date handling, currency conversions, winsorisation or trimming, variable formulas, missing-data decisions and final estimation sample. If code is used, preserve a clean analysis script and environment notes. If spreadsheets are used, avoid hidden manual edits that cannot be reconstructed. The aim is that another competent reader could follow the analytical path.

43. Regression design and identification

If a Finance thesis uses regression, the student should distinguish association, prediction and causal inference. A statistically significant coefficient does not automatically establish causality. Explain why variables enter the model, what confounding or reverse-causality risks exist, how standard errors are handled and what robustness checks address plausible weaknesses. If the design cannot support causal language, descriptive or associational conclusions can still be academically valuable. Precision about what the design can establish is a strength, not a weakness.

44. Time-series, panel and cross-sectional choices

The current Finance method environment supports cross-sectional, time-series and panel analysis, but these designs answer different questions. Cross-sectional work compares units at a point or period, time-series work emphasizes dynamics over time, and panel data combine unit and time dimensions. The choice affects dependence, fixed effects, lag structure, stationarity concerns and interpretation. Do not select a panel model merely because the dataset has many years. Start from the theoretical variation needed to answer the research question.

45. Portfolio and trading-strategy evidence

Portfolio or trading-strategy theses need particularly careful separation between research and hindsight. Define the rule before evaluating it, use a benchmark, prevent information from the future entering past decisions and state whether transaction costs, turnover, liquidity and short-selling constraints matter. If tuning is performed repeatedly on the same sample, apparent performance can be overstated. Where feasible, use validation or out-of-sample logic and report risk-adjusted performance, not only cumulative return.

46. Corporate-event and firm-level studies

A corporate-event thesis may examine mergers, payouts, financing announcements, governance changes or other firm events. The design should define the event date, event window, estimation window, comparison return or control group and rules for overlapping events. A firm-level panel study should define firm inclusion, industry treatment and accounting-period alignment. In both cases, the thesis should avoid presenting a market reaction or regression coefficient as proof of managerial motive unless the evidence directly supports that interpretation.

47. Ethics, privacy and confidential data

The 721950S learning outcomes explicitly include good scientific practice, confidentiality, informed consent, responsible data management and ethical use of AI. University privacy and responsible-research guidance therefore belong in the project design when relevant. If personal data or confidential company data are involved, access, storage, disclosure and publication limits should be resolved early. Ethics-committee review is not automatic for every Finance thesis, so do not claim approval is always required. Check the actual study design against current guidance.

48. Ethical use of AI

The thesis course now explicitly includes the ethical use of AI within sustainability, responsibility and ethics skills. That does not create a blanket permission or a blanket ban. Students should follow current University and course instructions, document material AI-assisted work where required, protect confidential or personal data and verify outputs rather than treating generated text, code or references as authoritative. The student’s academic responsibility for the research question, evidence, analysis and final claims remains unchanged.

49. Literature review

A Finance literature review should do more than summarize papers one by one. Organize prior research around the theoretical mechanism, competing explanations, measurement choices and empirical findings that are relevant to the exact question. Distinguish foundational theory from recent empirical evidence and identify where the proposed study fits. The review should help justify variable definitions, hypotheses or expectations and method choice. If the literature section cannot explain why the analysis is designed as it is, the two parts are not yet sufficiently integrated.

50. Interpreting results

Finance results should be interpreted economically as well as statistically. Report effect size, units and practical meaning where possible, not only p-values. Compare the result with theory and prior evidence, explain plausible reasons for agreement or disagreement and avoid expanding the conclusion beyond the sample, period and design. For valuation or portfolio work, assumptions may drive results as much as estimated parameters. For behavioural or sustainability work, construct validity may be the main limitation. Interpretation should reflect those design-specific risks.

51. Thesis assessment boundary

The thesis itself is graded 1-5/FAIL, while the maturity test is a separate PASS/FAIL requirement. Do not collapse those into one assessment event. The thesis learning outcomes cover analytical and critical thinking, self-directed development, written and oral communication, responsibility and ethics, and disciplinary understanding. Students should therefore treat the thesis as a complete research performance, not only as a technically correct model or dataset. Exact grading criteria should be checked in the current course and OBS materials used during the process.

52. Working-life cooperation

The 721950S course says working-life cooperation depends on the particular project. A company-linked thesis can therefore be appropriate, but the external project context does not replace academic standards. Agree early on what data can be used, what may be published, who provides technical or business input and how the academic research question remains independent enough for examination. Commercial usefulness and academic contribution can overlap, but they are not identical. The manuscript must still support its claims with transparent research reasoning.

53. Graduation after thesis completion

University graduation is handled through the Peppi Graduation service once the required studies are registered and the relevant thesis and maturity steps are complete. Current guidance emphasizes keeping the PSP and registered studies in order before applying. Faculty-specific timetables can set practical deadlines for Laturi upload and the reviewing phase. Because these dates change, use the current graduation page for the intended graduation month instead of copying a deadline from an older guide or another faculty.

54. 2027-2030 curriculum transition

The University of Oulu has announced a move to a three-year curriculum period beginning in academic year 2027-2028, covering 2027-2030. This guide is deliberately bounded to the verified 2026-2027 Finance objects and instructions. A student beginning under the new curriculum should recheck programme structure, thesis realization, maturity arrangements and faculty process before relying on these exact codes or dates. Stable-looking course codes can survive a transition while surrounding rules change.

55. Practical thesis workflow

A practical current workflow is: verify the Finance programme and thesis implementation, enrol according to OBS instructions, participate in the kick-off, agree the topic and supervision, prepare the research plan, build the evidence and analysis, present the intermediate report, revise toward the manuscript, complete the opponent duty, present the final manuscript, make required corrections, proceed through Laturi, complete the maturity test under the current OBS procedure, and then use the current Peppi graduation process. Recheck live instructions at every administrative handoff.

56. Common mistakes to avoid

Common avoidable errors are using the wrong thesis code, importing a separate seminar course from another programme, treating every optional methods course as compulsory, assuming every Finance thesis must be econometric, relying on a software package without a research rationale, using the maturity API language field as the whole language rule, confusing maturity assessment with thesis grading, and copying future-year dates from 2026-2027. Each of these errors comes from collapsing programme-specific boundaries that the current sources keep separate.

57. Final checklist

Before final submission, confirm the exact 721950S implementation, supervisor and seminar requirements; ensure the research question, theory, data and method still align; make data handling and analysis reproducible; complete required presentations and opponent work; resolve confidential or personal-data issues; obtain the supervisor’s final manuscript feedback; use the current Laturi workflow; complete 721010S under the correct language and Exam procedure; verify all study registrations; and check the current graduation timetable. If any rule has moved into the 2027-2030 curriculum, recheck it rather than assuming continuity.