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.
Master’s in Finance, Investment & Risk Engineering — studying from India
India's engineering economy relies on strong management and policy capability across manufacturing, IT services and public infrastructure. Organisations such as NITI Aayog shape technology and industrial policy, while industry bodies like CII and FICCI engage with government on manufacturing and innovation agendas. Technology consulting, product management and operations leadership roles are common across Bengaluru, Mumbai, Delhi NCR and Hyderabad. Professionals in this area combine technical understanding with strategy, programme governance and regulatory awareness to guide engineering organisations and public-sector technology initiatives.
Fees for India: ₹840,000 (Indian Rupee), with instalments and employer sponsorship available.
Relevant bodies in India
Typical roles
Questions from India
How is technology management recognised in India, and which bodies are relevant?
Management and technology policy in India has no single licensing body. Relevant professional bodies include the All India Management Association (AIMA), the Indian Institute of Management network for academic recognition, and the Institution of Engineers (India) for engineers. SEIUM's private qualifications are not state degrees and are not accredited by any national body, so their standing depends on how employers or the relevant body view them.
Which employers in India hire people with technology policy and management skills?
Roles in this field exist in government departments, public sector undertakings, consulting firms, IT services companies, and technology-focused startups. Policy and strategy teams in large corporates also hire such professionals. A private online programme can strengthen your profile, but hiring decisions typically rest on work experience, leadership record and subject knowledge.
Can I study this alongside work in India, and do I need a student visa?
Yes. The programme is entirely online and taught in English, so you can study from anywhere in India and no student visa is needed. Time commitment varies: specialist courses are about 300 hours, postgraduate diplomas about 800 and master's programmes about 1,900. You will have an assigned technical tutor, and fees can be paid in instalments. Some employers offer sponsorship, so check with yours.
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.
What you will be able to do
Interpret financial statements and calculate the cost of capital.
Appraise investments using NPV, IRR, simulation and real options.
Build efficient portfolios based on modern portfolio theory.
Design derivative hedges for currency and commodity risks.
Measure market and credit risk with quantitative models.
Apply current financial and operational risk regulation.
Value companies using discounted cash flow and multiples.
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.
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
12 modules · 1900 h
1.1Financial statements and their interpretation1.2Ratio and profitability analysis1.3Time value of money1.4Cost of capital and WACC1.5Capital structure and leverage1.6Dividend policy1.7Long-term financial planning1.8Working capital management1.9Value creation and EVA1.10Case study: financial diagnosis of an industrial company
2.1Relevant cash flows2.2NPV, IRR and payback period2.3Mutually exclusive projects2.4Capital rationing2.5Inflation and exchange rates in projects2.6Sensitivity and scenario analysis2.7Monte Carlo simulation2.8Real options valuation2.9Energy efficiency investments2.10Lab: investment appraisal with simulation in Excel
3.1The financial system and its participants3.2Fixed income and equity markets3.3Bond valuation and the yield curve3.4Equity valuation3.5Investment funds and ETFs3.6Commodity markets3.7MiFID II regulation3.8Supervision by the CNMV and the ECB3.9Green bonds and sustainable finance3.10Exercise: valuation of a corporate bond
4.1Portfolio return and risk4.2Markowitz efficient frontier4.3CAPM and the beta coefficient4.4Fama-French multifactor models4.5Active and passive management4.6Risk-adjusted performance4.7Strategic asset allocation4.8ESG investing4.9Behavioural finance and biases4.10Lab: portfolio optimisation in Python
5.1Futures and forward contracts5.2Options and basic strategies5.3Black-Scholes model5.4Binomial option pricing model5.5Interest rate swaps5.6Hedging foreign exchange risk5.7Hedging commodities and energy5.8IFRS 9 hedge accounting5.9EMIR Regulation and central clearing5.10Case study: currency hedging for an exporter
6.1Identification of risk factors6.2Parametric value at risk6.3Historical and Monte Carlo VaR6.4Expected shortfall and coherent risk measures6.5Stress testing6.6Backtesting of risk models6.7Interest rate risk in the banking book6.8Liquidity risk6.9Risk limits and governance6.10Exercise: calculating the VaR of a portfolio
7.1Probability of default and loss severity7.2Credit scoring and rating7.3Merton structural model7.4Expected and unexpected loss7.5Counterparty risk7.6Credit derivatives7.7Credit insurance and factoring7.8Provisioning under IFRS 97.9Concentration risk7.10Lab: credit scoring with logistic regression
8.1Basel III Accords8.2Capital and liquidity requirements8.3Measurement of operational risk8.4Solvency II for insurers8.5Anti-money laundering8.6Digital operational resilience under DORA8.7Model risk8.8COSO ERM enterprise risk management8.9ISO 31000 applied to finance8.10Case study: operational risks of a financial institution
9.1Discounted cash flow9.2Valuation by comparable multiples9.3Valuation of industrial companies9.4Size premium and risk adjustments9.5Valuation in mergers and acquisitions9.6Financial due diligence9.7Quantifying synergies9.8Valuation of intangible assets9.9Valuation reports9.10Exercise: DCF valuation of a manufacturer
10.1Sources of bank financing10.2Capital market issues10.3Venture capital and private equity10.4Structured finance and securitisation10.5Public funding and the ICO (Spanish Official Credit Institute)10.6Project finance10.7Leasing and renting10.8Green and sustainability-linked loans10.9Negotiating with financial institutions10.10Workshop: financing plan for an industrial investment
11.1Python for finance11.2Financial time series11.3Volatility with GARCH models11.4Machine learning in risk11.5Open banking and PSD211.6Crypto-assets and the MiCA Regulation11.7Asset tokenisation11.8Climate risk and NGFS scenarios11.9Visualisation of financial information11.10Lab: GARCH volatility model
12.1Definition of the financial problem12.2Data collection and processing12.3Proposed financial model12.4Risks associated with the decision12.5Scenarios and sensitivity analysis12.6Investment or hedging recommendation12.7Regulatory and accounting implications12.8Conclusions of the study12.9Master's Thesis report12.10Master's Thesis: defence before a panel
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).
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
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.
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.
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