Apply now
Master'sBusiness, Management & Technology Policy Applications open

Master’s in Finance, Investment & Risk Engineering

Online master's programme of 1,900 hours in finance, investment and risk engineering: 12 modules covering corporate finance, investment appraisal, financial markets, portfolio theory, derivatives and hedging, market and credit risk, regulation, company valuation, corporate financing and financial analytics, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Interpret financial statements and calculate the cost of capital.

02

Appraise investments using NPV, IRR, simulation and real options.

03

Build efficient portfolios based on modern portfolio theory.

04

Design derivative hedges for currency and commodity risks.

05

Measure market and credit risk with quantitative models.

06

Apply current financial and operational risk regulation.

07

Value companies using discounted cash flow and multiples.

Profile

Who it's for

  • Financial analysts in industry, banking or consultancy.
  • Risk managers.
  • Investment analysts.
  • Financial controllers.
  • Valuation consultants.
  • Corporate treasurers.
  • Engineering or science graduates aiming to move into banking.
Standards & tools

What you'll work with

  • IFRS 9 (financial instruments)
  • Basel III framework (bank capital and liquidity)
  • Directive 2014/65/EU (MiFID II) (markets in financial instruments)
  • Regulation (EU) 648/2012 (EMIR) (OTC derivatives, central counterparties and trade repositories)
  • Regulation (EU) 2022/2554 (DORA) (digital operational resilience)
  • Directive 2009/138/EC (Solvency II) (insurance and reinsurance)
  • ISO 31000:2018 (risk management guidelines)
  • Regulation (EU) 2023/1114 (MiCA) (markets in crypto-assets)
  • Python
  • Microsoft Excel
  • MATLAB Financial Toolbox
  • R
  • Bloomberg Terminal
Syllabus

12 modules · 1900 h

  1. 1.1Financial statements and their interpretation
  2. 1.2Ratio and profitability analysis
  3. 1.3Time value of money
  4. 1.4Cost of capital and WACC
  5. 1.5Capital structure and leverage
  6. 1.6Dividend policy
  7. 1.7Long-term financial planning
  8. 1.8Working capital management
  9. 1.9Value creation and EVA
  10. 1.10Case study: financial diagnosis of an industrial company
  1. 2.1Relevant cash flows
  2. 2.2NPV, IRR and payback period
  3. 2.3Mutually exclusive projects
  4. 2.4Capital rationing
  5. 2.5Inflation and exchange rates in projects
  6. 2.6Sensitivity and scenario analysis
  7. 2.7Monte Carlo simulation
  8. 2.8Real options valuation
  9. 2.9Energy efficiency investments
  10. 2.10Lab: investment appraisal with simulation in Excel
  1. 3.1The financial system and its participants
  2. 3.2Fixed income and equity markets
  3. 3.3Bond valuation and the yield curve
  4. 3.4Equity valuation
  5. 3.5Investment funds and ETFs
  6. 3.6Commodity markets
  7. 3.7MiFID II regulation
  8. 3.8Supervision by the CNMV and the ECB
  9. 3.9Green bonds and sustainable finance
  10. 3.10Exercise: valuation of a corporate bond
  1. 4.1Portfolio return and risk
  2. 4.2Markowitz efficient frontier
  3. 4.3CAPM and the beta coefficient
  4. 4.4Fama-French multifactor models
  5. 4.5Active and passive management
  6. 4.6Risk-adjusted performance
  7. 4.7Strategic asset allocation
  8. 4.8ESG investing
  9. 4.9Behavioural finance and biases
  10. 4.10Lab: portfolio optimisation in Python
  1. 5.1Futures and forward contracts
  2. 5.2Options and basic strategies
  3. 5.3Black-Scholes model
  4. 5.4Binomial option pricing model
  5. 5.5Interest rate swaps
  6. 5.6Hedging foreign exchange risk
  7. 5.7Hedging commodities and energy
  8. 5.8IFRS 9 hedge accounting
  9. 5.9EMIR Regulation and central clearing
  10. 5.10Case study: currency hedging for an exporter
  1. 6.1Identification of risk factors
  2. 6.2Parametric value at risk
  3. 6.3Historical and Monte Carlo VaR
  4. 6.4Expected shortfall and coherent risk measures
  5. 6.5Stress testing
  6. 6.6Backtesting of risk models
  7. 6.7Interest rate risk in the banking book
  8. 6.8Liquidity risk
  9. 6.9Risk limits and governance
  10. 6.10Exercise: calculating the VaR of a portfolio
  1. 7.1Probability of default and loss severity
  2. 7.2Credit scoring and rating
  3. 7.3Merton structural model
  4. 7.4Expected and unexpected loss
  5. 7.5Counterparty risk
  6. 7.6Credit derivatives
  7. 7.7Credit insurance and factoring
  8. 7.8Provisioning under IFRS 9
  9. 7.9Concentration risk
  10. 7.10Lab: credit scoring with logistic regression
  1. 8.1Basel III Accords
  2. 8.2Capital and liquidity requirements
  3. 8.3Measurement of operational risk
  4. 8.4Solvency II for insurers
  5. 8.5Anti-money laundering
  6. 8.6Digital operational resilience under DORA
  7. 8.7Model risk
  8. 8.8COSO ERM enterprise risk management
  9. 8.9ISO 31000 applied to finance
  10. 8.10Case study: operational risks of a financial institution
  1. 9.1Discounted cash flow
  2. 9.2Valuation by comparable multiples
  3. 9.3Valuation of industrial companies
  4. 9.4Size premium and risk adjustments
  5. 9.5Valuation in mergers and acquisitions
  6. 9.6Financial due diligence
  7. 9.7Quantifying synergies
  8. 9.8Valuation of intangible assets
  9. 9.9Valuation reports
  10. 9.10Exercise: DCF valuation of a manufacturer
  1. 10.1Sources of bank financing
  2. 10.2Capital market issues
  3. 10.3Venture capital and private equity
  4. 10.4Structured finance and securitisation
  5. 10.5Public funding and the ICO (Spanish Official Credit Institute)
  6. 10.6Project finance
  7. 10.7Leasing and renting
  8. 10.8Green and sustainability-linked loans
  9. 10.9Negotiating with financial institutions
  10. 10.10Workshop: financing plan for an industrial investment
  1. 11.1Python for finance
  2. 11.2Financial time series
  3. 11.3Volatility with GARCH models
  4. 11.4Machine learning in risk
  5. 11.5Open banking and PSD2
  6. 11.6Crypto-assets and the MiCA Regulation
  7. 11.7Asset tokenisation
  8. 11.8Climate risk and NGFS scenarios
  9. 11.9Visualisation of financial information
  10. 11.10Lab: GARCH volatility model
  1. 12.1Definition of the financial problem
  2. 12.2Data collection and processing
  3. 12.3Proposed financial model
  4. 12.4Risks associated with the decision
  5. 12.5Scenarios and sensitivity analysis
  6. 12.6Investment or hedging recommendation
  7. 12.7Regulatory and accounting implications
  8. 12.8Conclusions of the study
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so the programme is compatible with work.

Each module combines theory, guided reading of the original regulations and standards, and applied exercises. The working software is Python, Microsoft Excel, MATLAB Financial Toolbox, R and Bloomberg Terminal, in free, academic or evaluation versions. Exercises are built on real procedures: valuing a company by discounted cash flow, calculating the value at risk of a portfolio and designing a derivatives hedge. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: IFRS 9, Basel III framework, Directive 2014/65/EU (MiFID II), Regulation (EU) 648/2012 (EMIR), Regulation (EU) 2022/2554 (DORA), Directive 2009/138/EC (Solvency II), ISO 31000:2018, Regulation (EU) 2023/1114 (MiCA).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IFRS 9, Basel III and MiFID II applied to real cases, not as a theoretical annex.
Industry software:Python, Microsoft Excel, MATLAB Financial Toolbox, R and Bloomberg Terminal, in free, academic or evaluation versions.
Master's Thesis with defence:A complete financial study, from model to investment or hedging recommendation, on a real decision, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Problem definition and data
Define the financial problem and collect and process the data needed.
Financial model
Build the financial model behind the decision.
Risk and scenario analysis
Identify the associated risks and run scenario and sensitivity analyses.
Recommendation and compliance
Issue an investment or hedging recommendation with its regulatory and accounting implications.
Master's Thesis
Present the full financial study, defended before a panel.
Career opportunities

Where this takes you

Financial analystRisk managerInvestment analystFinancial controllerValuation consultantCorporate treasurer
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with Python, Microsoft Excel, MATLAB Financial Toolbox, R and Bloomberg Terminal, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A university degree in engineering, science or architecture (or equivalent professional experience), a suitable computer and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

Keep exploring

Related programmes

See all in Business, Management & Technology Policy
Master's8,850 $

Master’s in Incubation/Spin-off Engineering from Universities and Technology Centres

Online master's programme of 1,900 hours in incubation and spin-off engineering from universities and technology centres. 12 modules covering academic spin-offs and their legal framework, technology…

1900 hOnlineBusiness, Management & Technology Policy
Master's8,850 $

Master’s in UAM Regulation Engineering

Online master's programme of 1,900 hours in urban air mobility (UAM) regulation engineering. 12 modules covering the EU aviation framework, VTOL certification, drone operations and SORA,…

1900 hOnlineBusiness, Management & Technology Policy
Master's7,730 $

Master’s in Energy Markets and Commercial Strategy Engineering for e-Mobility

Online master's programme of 1,900 hours in energy markets and commercial strategy engineering for e-mobility: 12 modules covering electricity markets, charging demand, energy procurement and hedging,…

1900 hOnlineBusiness, Management & Technology Policy
Master’s in Finance, Investment & Risk EngineeringEnrol
Related programmes

More in Business, Management & Technology Policy

Master’s in Entrepreneurship and Open Innovation EngineeringView programme →Master’s in Events, Leagues & Motorsport Governance Engineering (complementary)View programme →Master’s in Media, OTT & Sports Content EngineeringView programme →Master’s in League/Series Management and Federation Relations EngineeringView programme →Master’s in Business Digital Twins EngineeringView programme →Master’s in Incubation/Spin-off Engineering from Universities and Technology CentresView programme →

All Business, Management & Technology Policy programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.