Master in Economics

Economic Analysis and Policy (LM-56) at University of Turin

If you plan to study in Italy in English and want a rigorous path into applied economics, policy evaluation, and data-driven decision-making, this LM-56 master’s is a strong choice. It belongs to English-taught programs in Italy and follows the transparent framework used across public Italian universities. With early planning, the DSU grant and other scholarships for international students in Italy can reduce costs and, for eligible profiles, align with options often described as tuition-free universities Italy.

Economic Analysis and Policy turns complex systems into clear, testable questions. You will learn how to design a model, gather evidence, measure uncertainty, and present results that policymakers and managers can trust. The programme builds your technical core and your communication skills, so you can move from theory to impact with confidence.

Why choose LM-56 to study in Italy in English

This degree trains you to connect micro-level behaviour with macro outcomes. It equips you to test ideas against data and to write short, usable advice for decision-makers. Teaching in English supports international teamwork and access to current literature.

What the programme builds in you

• Strong foundations in microeconomics, macroeconomics, and econometrics.
• Skill in causal inference and policy evaluation.
• Fluency with data handling, visualisation, and reproducible analysis.
• Knowledge of institutions, incentives, and regulatory design.
• A habit of clear writing, with honest limits and next steps.
• Professional ethics for evidence-based policy.

Who thrives here

• Graduates in economics, management, mathematics, statistics, or engineering.
• Early professionals seeking R&D or analytical roles in policy, finance, or consulting.
• Applicants planning for a PhD and research careers.

Learning that turns theory into action

• Lectures for frameworks and formal results.
• Labs for coding, replication, and diagnostics.
• Policy studios for real-world briefs and memos.
• Team projects with owners, milestones, and a decision-focused output.
• A thesis that answers one sharp question with clean evidence.

Curriculum map: from models to measurable outcomes

The curriculum helps you move between theory, data, and decisions. You begin with core economic tools, then select advanced fields and applied workshops.

Core foundations

• Microeconomics: choice, markets, market power, and welfare.
• Macroeconomics: growth, cycles, expectations, and policy rules.
• Econometrics: identification, inference, and model checks.
• Mathematics for economics: optimisation, dynamics, and stability.
• Data and computing: tidy data, version control, and transparent notebooks.
• Policy analysis: institutions, incentives, and feasibility.

Applied and advanced topics

• Causal inference: experiments, difference-in-differences, IV, and synthetic controls.
• Public economics: taxation, spending, and inequality.
• Industrial organisation: competition, platforms, and regulation.
• Labour economics: skills, mobility, and wage dynamics.
• Health and education economics: outcomes, access, and value for money.
• Environmental and energy economics: externalities, pricing, and transitions.
• International and monetary economics: trade shocks, currency regimes, and transmission.
• Development economics: constraints, interventions, and measurement.

Professional skills

• Writing for decisions: the one-page memo with a number and a risk.
• Visualisation: clean charts with units, dates, and fair scales.
• Project management: goals, owners, timelines, and buffers.
• Ethics and integrity: reproducibility and responsible communication.

How the programme is organised

The master’s typically spans two academic years (120 ECTS). It blends core study with electives, labs, and a thesis.

Programme rhythm you can plan

• Semester 1: micro, macro, econometrics, and quantitative tools.
• Semester 2: causal inference, policy analysis, and domain electives.
• Semester 3: policy studios, internship or research placement, and thesis proposal.
• Semester 4: thesis execution, defence, and portfolio finish.

Assessment you can predict

• Problem sets with public rubrics and grading keys.
• Replication labs with data checks and code reviews.
• Short memos and briefs focused on a decision and its trade-offs.
• Presentations tested on clarity, evidence, and limits.
• A thesis with transparent methods and reproducible files.

Study routine that protects time

1. Set three measurable goals each week.
2. Work in focused blocks; log assumptions and results.
3. Ask for feedback mid-week; trim scope early.
4. Back up files with clear names and versions.
5. Review on Friday; note five lessons learned.

Where LM-56 fits within English-taught programs in Italy

As part of English-taught programs in Italy, the degree uses ECTS and clear learning outcomes. Courses, labs, and exams are available in English, which supports collaboration with international peers and exposure to global debates in economics.

Why English delivery matters

• You read the latest research without translation delays.
• You present to mixed teams and learn shared technical vocabulary.
• You prepare a thesis in English, suitable for PhD and job applications.
• You practise writing that busy decision-makers anywhere can use.

What to expect in class

• Reading lists that blend theory, applications, and replication.
• Labs centred on tidy data and explainable code.
• Policy discussions grounded in evidence and institutional details.
• Feedback that rewards clarity, fairness, and robustness.

Studying within public Italian universities: structure, quality, recognition

This programme belongs to public Italian universities, which follow transparent calendars, quality assurance, and recognised credits.

What this means for you

• Predictable timetables and exam sessions.
• Syllabi with aims, skills, and exam formats.
• Recognition of credits across Europe.
• Guidance on academic integrity and data protection.
• Access to support offices for enrolment and thesis procedures.

How structure helps

• You can plan semesters around study, labs, and writing.
• You can schedule time for internships and policy studios.
• You can align funding renewals with coursework milestones.
• You can build a portfolio steadily, without last-minute stress.

Policy studios and applied labs: learn by doing

Studios and labs simulate the real work of policy analysts. Each sprint ends with five parts: goal, method, results, limits, and next steps.

Example policy studios

• Tax reform brief: estimate distributional effects; present a revenue-neutral option.
• Labour market memo: measure programme impact with difference-in-differences.
• Health policy note: compare interventions using cost-effectiveness.
• Competition report: assess market power; propose remedies with evidence.
• Climate and energy: price externalities; model transitions and risks.
• Education insight: evaluate scholarships or school reforms using credible designs.

Data labs you may complete

• Cleaning and documentation: codebooks, readme files, and audit trails.
• Visualisation clinic: honest scales, units, dates, and uncertainty.
• Causal designs: propensity matching, IV diagnostics, and placebo tests.
• Forecasting workshop: benchmarks, cross-validation, and calibration.
• Text-as-data: simple NLP for policy documents and news.

Tools of the trade: data, code, and reproducibility

Good analysis is easy to repeat and to check. You will learn disciplined habits that make your results durable and useful.

Data practice

• Keep raw, processed, and final datasets separate.
• Record sources, licences, and transformations.
• Check outliers and missingness before modelling.
• Protect privacy with de-identification where required.

Coding practice

• Use version control and clear commit messages.
• Write readable notebooks and scripts with comments.
• Package reusable functions; test edge cases.
• Export figures and tables with standard names.

Reporting

• Begin with the answer; add method, limits, and next steps.
• Show uncertainty with intervals or ranges.
• Compare to a fair baseline; avoid cherry-picking.
• Give a safe fallback when evidence is thin.

Building a portfolio employers trust

Aim for six to eight items that show how you move from question to decision. Keep files tidy and anonymised; add one-page summaries.

Suggested portfolio items

1. Replication study with matched figures and a note on differences.
2. Causal evaluation of a policy using a transparent design.
3. Forecasting project with calibration plots and error analysis.
4. Market analysis using structure and conduct indicators.
5. Distributional impact brief with clear charts and fairness checks.
6. Cost–benefit memo with sensitivity analysis.
7. Text-as-data note extracting indicators from documents.
8. Thesis proposal with milestones, risks, and a data plan.

How to present your work

• Start with the decision your work informs.
• Show the figure that proves it, with units and dates.
• Explain the method and the main risk.
• Offer the next step and who owns it.
• Provide a reproducible path: code, environment, and data notes.

Careers after LM-56: roles, sectors, and what employers seek

This degree prepares you for analytical roles in policy, finance, consulting, and research. Titles vary, but the core expectation is consistent: turn complex issues into clear, defensible advice.

Typical roles

• Policy analyst or economist in public bodies or research centres.
• Data or research analyst in think tanks and international organisations.
• Economic consultant for competition, regulation, or damages.
• Analyst in finance, risk, or sustainability teams.
• Evaluation specialist for programmes and social impact.
• Research assistant or PhD candidate in economics.

Sectors that recruit

• Public administrations and agencies.
• International and non-profit organisations.
• Consulting and advisory firms.
• Financial institutions and fintech teams.
• Energy, health, education, and environmental services.
• Academic labs and policy institutes.

What employers want to see

• Clean datasets with documented steps.
• Transparent designs and fair comparisons.
• Clear writing with one decision per page.
• Respect for deadlines, confidentiality, and integrity.
• Evidence that you can explain limits and propose next steps.

Thesis guidance: one question, one figure, one honest limit

A strong thesis helps someone choose between options. Pick a question you can answer with available data and time you control.

Strong thesis themes

• Tax and transfer: which reform reduces poverty at the lowest cost.
• Competition: which indicator flags harmful market power early.
• Labour programmes: which design improves outcomes for a key group.
• Health policy: which intervention yields the best value at scale.
• Education: which scholarship rule increases completion fairly.
• Climate policy: which price or standard cuts emissions with stability.
• Monetary or macro: which rule stabilises outcomes under shocks.

Outputs that matter

• A one-page executive summary with a number and a risk.
• A main report with clean figures and replication files.
• A reproducible appendix with code and environment notes.
• A plan for validation or a pilot.

Keeping the thesis on track

• Write the abstract early and update monthly.
• Fix milestones and buffers in your calendar.
• Share partial results; invite critique.
• Record changes with dates and reasons.

Admissions and preparation: showing you are ready

Selection values solid quantitative skills and clear writing. You do not need to be an expert in everything, but you must show discipline and motivation.

Who should apply

• Graduates in economics, management, maths, statistics, engineering, or related fields.
• Applicants from other areas who can bridge gaps with a plan.
• Early professionals aiming to formalise analytical experience.

Preparation that helps

• Calculus, linear algebra, and probability refreshers.
• Introductory coding for data and plots.
• Econometrics basics and causal logic.
• Short-form writing practice in English.
• Familiarity with policy institutions and data sources.

Application items typically requested

• Degree certificate and transcripts.
• One- or two-page CV.
• Motivation letter linked to LM-56 goals.
• Language certificate if requested.
• Any projects you can summarise clearly.

Funding: DSU grant and scholarships for international students in Italy

Financial stability protects your study time. Public frameworks provide clear routes to support.

DSU grant (Diritto allo Studio Universitario)

• May combine a fee reduction or waiver, a cash scholarship in instalments, and services that reduce daily costs.
• Requires income and identity documents; some need translation or legalisation (official recognition).
• Renewal depends on credits and grades; track thresholds from the first semester.

Scholarships for international students in Italy

• Merit awards for strong transcripts or projects.
• Mobility support for relocation and early setup.
• Departmental awards tied to policy, data, or specialised fields.
• Paid student roles under academic rules with set hours.

A funding plan that works

1. Map deadlines and documents now.
2. Prepare certified translations where required.
3. Submit early and keep confirmations.
4. Track renewal thresholds in a calendar with reminders.
5. Draft a semester budget with a small buffer.

Paths that align with tuition-free universities Italy

Not every student receives a full waiver. Yet many combine the DSU grant with scholarships for international students in Italy to reduce net costs sharply. This approach aligns with the idea behind tuition-free universities Italy. Even without a total waiver, stable support lets you focus on labs, studios, and the thesis.

Budget habits that protect your time

• Plan by semester and match costs to milestones.
• Use campus services before paying for extras.
• Choose used or digital texts when possible.
• Track weekly spend; adjust before next month.
• Keep all documents and receipts in one folder for renewals.

Communication and ethics: earning trust with clear evidence

Policy work affects people. The programme builds habits that make your advice reliable and fair.

Plain-language habits

• Start with the decision; then evidence, limits, and next steps.
• Use numbers people can picture; not only percentages.
• Keep figures clean with units, dates, and readable labels.
• Show uncertainty with intervals or scenario ranges.

Integrity and fairness

• Disclose assumptions and data limits.
• Avoid p-hacking and selective reporting.
• Credit contributors and declare conflicts.
• Respect privacy, licences, and consent conditions.

Collaboration

• Assign roles, owners, and deadlines.
• Keep a risk and decision log.
• Review code and documents with checklists.
• Thank reviewers; record their fixes.

How to make the most of LM-56

The degree gives you tools. Your daily routine turns those tools into value.

Weekly rhythm

• Monday: set goals and define deliverables.
• Mid-week: check progress and remove blockers.
• Friday: review results; capture lessons and next steps.

File discipline

• Separate raw, processed, and final data.
• Use consistent names with dates and versions.
• Save figures with descriptive titles and units.
• Keep a readme that explains how to reproduce your results.

Professional polish

• One decision per slide; one figure per message.
• If a number changes a choice, show it first.
• If evidence is thin, say so and suggest a safe pilot.
• Always include a contact and a timeline.

Bringing it all together

Economic Analysis and Policy (LM-56) at University of Turin (Università degli Studi di Torino) offers a disciplined route from models and data to decisions that matter. You study in English, work within a recognised network of public Italian universities, and build a portfolio that shows how you turn questions into clear, fair advice. With careful planning—DSU grant applications, scholarships for international students in Italy, and steady study habits—you can manage costs, sharpen your skills, and graduate ready for policy roles, consulting, finance, or a competitive PhD.

Ready for this programme?

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For Indian applicants

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