M.Phil / MS · All disciplines · All universities

M.Phil Programs — Complete Research Guide

Coursework notes, research methodology, proposal templates, thesis samples, past papers and scholarships for M.Phil / MS students at Pakistan’s universities.

📜 HEC guidelines

M.Phil / MS at a glance

From HEC’s Graduate Education Policy 2023. Your university may add its own rules — always check its prospectus.

Eligibility

16 years of education — a 4-year BS (at least 120 credit hours) after FSc / FA, or equivalent.

Entry test

A university admission test, or GRE / HAT General (or equivalent), with a passing score of 50%.

Credit hours

30 credit hours: either 30 of coursework, or 24 of coursework + at least 6 of research / thesis.

Duration

At least 1.5 years (3 regular semesters) and at most 4 years (8 regular semesters).

Similarity check

A Turnitin similarity of up to 19% may get the benefit of the doubt; any single source of 5% or more without citation must be revised.

PhD pathway

PhD admission needs an MS / M.Phil with CGPA 3.0 out of 4.0 (or 60% marks), plus the university's test.

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Computer ScienceAI, Machine Learning, Data Science, Networking, Software Engineering — research-based M.Phil / MSArtificial IntelligenceData ScienceComputer NetworksSoftware EngineeringCyber SecurityComing soon →Natural SciencesPhysics, Chemistry, Biology, Botany, Zoology — laboratory and field researchPhysicsChemistryBiologyBotanyZoologyBiochemistryComing soon →Engineering SciencesCivil, Electrical, Mechanical, Chemical — advanced engineering researchCivil EngineeringElectrical EngineeringMechanical EngineeringChemical EngineeringEnvironmental EngineeringComing soon →Management SciencesFinance, HRM, Marketing, Operations and Supply Chain researchFinanceHuman Resource ManagementMarketingOperations ManagementSupply Chain ManagementComing soon →Social Sciences & HumanitiesUrdu, English, History, Islamic Studies, Education, Psychology, Political Science, EconomicsPsychologyEducationPolitical ScienceIslamic StudiesHistoryEconomicsComing soon →Mathematics & StatisticsPure Math, Applied Math, Statistics — analysis, topology, probabilityPure MathematicsApplied MathematicsStatisticsProbabilityTopologyComing soon →

11st Semester0 files 22nd Semester0 files 33rd Semester0 files 44th Semester0 files Any semester0 files

Past papers will appear here year by year as they are added.

Past Papers0 Research Notes0 Proposal Templates0 Thesis Samples0 Research Articles0 Research Topics0 Literature Review0 Methodology0 Viva Prep0 Statistical Tools Guides0 Lab & Field Manuals0 Books0 Assignments0 Presentations0 Scholarships & Opportunities0

Semester-wise

M.Phil — 2-year semester plan

Research MethodologyRM-601Soon Academic Writing & PresentationENG-601Soon Statistics for ResearchSTAT-601Soon Core Specialization Course ISPEC-601Soon Core Specialization Course IISPEC-602Soon

Advanced Research Topics IADV-601Soon Advanced Research Topics IIADV-602Soon Core Specialization Course IIISPEC-603Soon Seminar / ColloquiumSEM-601Soon Research Proposal DevelopmentRP-601Soon

Literature ReviewTHESIS-601Soon Data Collection & AnalysisTHESIS-602Soon Supervisor Meetings (Log)SUP-601Soon Research Seminar PresentationSEM-602Soon

Thesis Writing & FinalizationTHESIS-701Soon Peer Review & ProofreadingTHESIS-702Soon Thesis Submission (HEC Format)THESIS-703Soon Viva Voce / Thesis DefenseTHESIS-DEFSoon

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1st Semester · 👥 Human Resource Management · ✏️ Research Notes

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Admissions & JobsM.Phil admissions, scholarships and research jobsOpen →Thesis & Research HelpProposal, data analysis (SPSS, R, Python) and thesis formatting helpOpen →Video LecturesResearch methodology and statistics lecturesOpen →Skill CoursesShort courses with certificatesOpen →

Research tips

Succeed in your M.Phil research

Choose your supervisor well

A supervisor who knows your field makes half the difference — check their recent work.

Write a strong proposal

Clear problem statement, objectives and methodology.

Read widely

Use Google Scholar, ResearchGate and the HEC Digital Library for your literature review.

Meet regularly

Meet your supervisor every week or two — get feedback early.

Back up your data

Keep your data on Google Drive and on your computer — thesis data is precious.

Write every day

Start writing from day one; a little every day beats a last-minute rush.