The Pokhara University MBA ends in a Graduate Research Project rather than a conventional thesis, and the distinction matters for how you choose a topic. The GRP sits inside a trimester structure alongside coursework and an internship, so the realistic research window is short and the topic has to be correspondingly tight.
That pushes you towards questions answerable with data you can get quickly — published company data, or a survey of a population you already have access to through your internship or employer. The topics below are chosen on exactly that basis.
Each one names its data source, an analysis method and an honest feasibility rating. Your concentration courses should steer which group you look at first.
The PU MBA runs on trimesters with coursework, seminars and an internship alongside the research project. The practical consequence is that your effective research window is shorter than a semester-system thesis, and topics that need three months of fieldwork will not fit.
The students who finish comfortably do one of two things. Either they choose a secondary-data topic where the dataset can be assembled in a fortnight, or they use their internship organisation as the research site so access is already secured. Both approaches remove the failure mode that stalls most GRPs, which is waiting on permission.
Write the proposal so the timeline is explicit and weekly. A supervisor can spot an infeasible plan immediately from a realistic Gantt chart, and that conversation is much cheaper in month one than in month four.
If your GRP studies the organisation you are interning with, agree the scope with them in writing at the start. Be explicit about what data you will use, how it will be anonymised, and that the report will be submitted to the university and may be read by examiners.
Be equally explicit with your supervisor about the relationship. Studying your own employer is entirely legitimate and common, but it introduces bias that you should address in the methodology rather than leave for an examiner to raise.
Where an organisation asks you to withhold commercially sensitive figures, that is usually workable — index the values, or report ratios rather than absolutes. Agree this before you collect, not after you have written the analysis chapter.
Listed-company data is the fastest route to a finishable GRP. If your internship is in a bank or a financial institution, use that access — it is the single biggest advantage a PU MBA student has.
Public price data over a long series, and a question that connects directly to your investment coursework.
A model-building project with a clear evaluation criterion, which examiners find easy to assess.
NRB-driven consolidation gives you genuine before-and-after events, which is rare in Nepali data.
Nepali retail investors trade in a market small enough that herding effects are detectable.
Insurance is less studied than banking but equally well documented, so the literature gap is real.
Board composition and disclosure data are in annual reports, making a governance index constructible.
PU MBA cohorts are working professionals often enough that employer access is realistic. Use it — a survey inside one organisation beats a general public survey you cannot complete.
Directly commercial, and banks track retention themselves, so your findings have an audience.
The Nepali hospitality market has both, which gives you a clean comparison.
Adoption is still incomplete, so there is genuine variance to explain rather than a saturated market.
Recent, commercially live, and narrow enough to complete if you fix one category.
A high-involvement service where quality perception genuinely drives choice.
Emerging in the Nepali market, so you are describing something rather than confirming a settled finding.
These suit students with employer access and mark well because they are under-represented in Nepali MBA archives.
Nepal's import dependence and border logistics make this concrete rather than theoretical.
Retail chains keep inventory data and the cost implication is directly measurable.
Policy-relevant, well supported by funding bodies, and respondents are organised through entrepreneur associations.
Under-documented, and founders of closed startups are often willing to speak candidly.
SMEs dominate Nepali manufacturing and are far more accessible than large firms.
Adoption is currently underway, so you can capture both adopters and non-adopters.
Strong GRP material if you have one organisation committed. Get that commitment in writing before the proposal, not after.
Public enterprises publish plans and performance, which gives you a documentary base.
Attrition is the defining HR problem in Nepali IT, so firms are motivated to cooperate.
Long hours are openly acknowledged, which makes honest responses more likely.
Ongoing in most large Nepali institutions, so you can study it live rather than retrospectively.
CSR spending is now mandated for larger Nepali firms, giving you a compliance dimension to examine.
Cooperatives are accessible and their governance structure makes leadership unusually consequential.
It serves a similar purpose but is scoped for the trimester structure — shorter, more applied, and assessed against the programme's own GRP requirements rather than thesis regulations. Treat the programme document and your supervisor's brief as binding over any general thesis guidance.
Yes, and it is often the most practical choice because access is already secured. Agree the data scope with the organisation in writing first, and address the bias that comes with studying your own workplace explicitly in your methodology.
Large enough to support the test you intend to run, and derived rather than asserted. If you plan regression with five predictors, say what that implies for minimum sample and show the calculation. A derived figure of 180 defends better than a round 400 you cannot justify.
For finance and investment topics, yes, and it is frequently the stronger option in a short research window. The requirement is that the analysis is genuine — hypotheses, tests and interpretation, not a descriptive summary of published tables.
Topic feasibility, proposal structure, instrument design, sample size derivation, data analysis and draft review. We do not write the GRP or collect your data — read our academic integrity policy for exactly where the line sits.
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