MBA Applied
Quantitative Finance & AI
AI meets Finance
What will the financial world of tomorrow look like—and which skills will be in demand?
Artificial Intelligence is fundamentally changing finance. Financial models are becoming smarter, data analysis more powerful, and decision-making processes are increasingly supported by AI. Companies, banks, insurance providers, as well as auditing and consulting firms, therefore need finance experts who can bridge the gap between finance, quantitative methods, data analytics, and artificial intelligence.
There is a demand for professionals who don’t just use AI, but can understand its results, evaluate them critically, and translate them into sound financial decisions. This requires more than technical knowledge: it takes a deep understanding of financial modeling, financial engineering, and data analytics—combined with the ability to use modern AI tools effectively.
This is exactly where the MBA Applied Quantitative Finance comes in.
The degree program combines quantitative finance expertise with the possibilities of artificial intelligence. You will learn to analyze complex financial issues in a structured way, develop models, evaluate data, and use AI as a powerful tool for analysis, modeling, and decision-making.
As a graduate of the MBA Applied Quantitative Finance, you will possess a skill profile that will be decisive in the financial world of tomorrow: Understand finance => Analyze data => Develop models => Use AI intelligently => Make decisions.
This qualifies you for demanding specialist and leadership roles at the intersection of finance, data analytics, digital finance, and artificial intelligence.
The future of Finance is quantitative and AI-powered.
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Free information material for the MBA Applied Quantitative Finance program
Apply today for the MBA Applied Quantitative Finance and take the next step in your career!
Overview
– Part-time MBA: Degree in 4 semesters.
– Digital studies: Flexible in terms of time and location.
– Teaching concept: Personal support and instructional videos tailored to our own textbooks.
– Accredited quality: University-accredited degree program.
– Practical content: Real-world case studies from the financial world combine financial modeling, data analytics, and artificial intelligence, showing how modern financial models and AI tools are used in practice.
– Flexible start: Winter or summer semester.
Program Structure
By integrating the certificate qualifications, graduates receive the following 3 titles upon completion of the program:
MBA Applied Quantitative Finance
Certified Financial Engineer
Certified Financial Modeler
Your Way to an Executive Position in AI-Driven Finance
- Business Plan with Standards and Methods in Financial Modeling
- Company Valuation
- Mergers & Acquisitions, Leveraged Buyout (LBO), Private Equity, and Initial Public Offering
- Risk Management
- Portfolio Management
- Data Analytics in Quantitative Finance
- Derivatives
- Contemporary Methods in Corporate Finance
- Venture Capital and Innovation Finance
- Research Methods in Finance
- Master’s Thesis
Module 1: BUSINESS PLAN WITH STANDARDS AND METHODS IN FINANCIAL MODELING
COURSE 1: Creating a Business Plan
Course Unit 1: Data Collection and Model Preparation
Course Unit 2: Preparation of P and Balance Sheet
Course Unit 3: Preparation of Integrated P and Balance Sheet Planning
COURSE 2: Optimizing a Business Plan
Course Unit 1: Derivation of a Net Cash Flow Statement and Cash Flow Statement
Course Unit 2: Performing Goal Seek Analysis
Course Unit 3: Documentation of the Business Plan
Module 2: COMPANY VALUATION
COURSE 1: Discounted Cash Flow (DCF) Method
Course Unit 1: WACC Approach
Course Unit 2: Period-Specific WACC Approach
Course Unit 3: Sensitivity Analysis
COURSE 2: Multiples
Course Unit 1: Trading Multiples
Course Unit 2: Transaction Multiples
Course Unit 3: Football Field
Module 3: MERGERS & ACQUISITIONS, LEVERAGED BUYOUT (LBO),
PRIVATE EQUITY AND INITIAL PUBLIC OFFERING
COURSE 1: Advanced Company Valuation
Course Unit 1: Adjustment of Cost of Capital
Course Unit 2: Performing Company Valuation
Elective: COURSE 2: Mergers & Acquisitions, Private Equity and Initial Public Offering
Course Unit 1: Mergers & Acquisitions
Course Unit 2: Private Equity and Initial Public Offering
Elective: COURSE 3: LBO Financing
Course Unit 1: Assumptions of LBO Financing
Course Unit 2: Transaction Structure of LBO Financing
Module 4: RISK MANAGEMENT
COURSE 1: Representation of Risk
Course Unit 1: Data Collection and Model Preparation
Course Unit 2: Density Function and Distribution Function
COURSE 2: Modeling Volatility
Course Unit 1: EWMA and GARCH
Course Unit 2: Forecasting Value and Price Developments Using Stochastic Processes
Course Unit 3: Calculation of Portfolio Risk
COURSE 3: Risk Measures
Course Unit 1: Variance and Standard Deviation
Course Unit 2: Skewness and Kurtosis
Course Unit 3: VaR Variants for Discrete and Continuous Distributions
Course Unit 4: VaR Variants Using Extreme Value Theory
Course Unit 5: Value at Risk for Non-Linear Price Functions: Bonds
COURSE 4: Simulations
Course Unit 1: Historical Simulation
Course Unit 2: Monte Carlo Simulation
Module 5: PORTFOLIO MANAGEMENT
COURSE 1: Markowitz Portfolio Selection
Course Unit 1: Return Calculation
Course Unit 2: Calculation of Portfolio Risk in the 2-Asset Case
Course Unit 3: Calculation of Portfolio Risk in the n-Asset Case
COURSE 2: Portfolio Optimization
Course Unit 1: Absolute Optimization
Course Unit 2: Relative Optimization
Module 6: DATA ANALYTICS
COURSE 1: Data Analytics with ORANGE
Course Unit 1: Statistical Fundamentals with ORANGE
Course Unit 2: Forecasting Models with ORANGE
Course Unit 3: Data Prediction and Classification Possibilities Using Deep Learning
COURSE 2: Project: Data Analytics
Course Unit 1: Application Fields of Data Analytics
Course Unit 2: Benford’s Law and Last Digit Approach
Course Unit 3: The Application of Python in Company Valuation
Module 7: DERIVATIVES
COURSE 1: Option Pricing
Course Unit 1: Option Pricing with the Binomial Model
Course Unit 2: Option Pricing with the Black-Scholes-(Merton) Model (incl. Greeks)
COURSE 2: Option Strategies
Course Unit 1: Basic Strategies with Options and Bullish Option Strategies
Course Unit 2: Bearish Option Strategies and Neutral Strategies
Course Unit 3: Application of the Created Model to the Current Market Situation
Module 8: CONTEMPORARY METHODS IN CORPORATE FINANCE
COURSE 1: Unbiased Planning
Course Unit 1: Modeling Monte Carlo Risk Parameters
Course Unit 2: Modeling Unbiased P, Balance Sheet, and Cash Flow Statements
Course Unit 3: Modeling Probability of Default
Course Unit 4: Modeling Unbiased Cash Flow to Equity with Probability of Default
COURSE 2: Simulation-Based Company Valuation
Course Unit 1: Risk Analysis of Simulated Cash Flow to Equity
Course Unit 2: Derivation of Cost of Equity from Risk Analysis
Course Unit 3: Valuation of the Company Using the Equity Approach and the Risk-Adjusted Discount Rate Method
Course Unit 4: Valuation of the Company Using the Equity Approach and the Certainty Equivalent Method
Module 9: VENTURE CAPITAL & INNOVATION FINANCE
COURSE 1: Real Options in Investment Banking
Course Unit 1: Introduction to Real Options: Real Options and Financial Options
Course Unit 2: Real Options in Mergers & Acquisitions
Course Unit 3: Real Options in Venture Capital and Initial Public Offering
COURSE 2: Case Study on Compound Real Options
Course Unit 1: Derivation of Free Cash Flows and Calculation of Net Present Value
Course Unit 2: Derivation of the Value Development Tree and Representation of Possible Project Value States
Course Unit 3: Derivation of Option Values
1 Study Program
3 Certificates
Certified
Financial
Modeler
Certified Financial Modeler
- Business Plan with Standards and Methods in Financial Modeling
- Company Valuation
- Mergers & Acquisition, Leveraged Buyout Private Equity and Initial Public Offering
- Portfolio Management
MBA
Applied
Quantitative
Finance
MBA
Applied
Quantitative
Finance
LEARN MORE
Certified
Financial
Engineer
Certified Financial Engineer
- Data Analytics in Quantitative Finance
- Venture Capital and Innovation Finance
- Risk Management
- Current Methods in Corporate Finance
- Derivatives
Our holistic concept combines over 20 years of experience in quantitative finance with data analytics and artificial intelligence. You will learn to combine quantitative financial methods with modern AI tools and critically evaluate their results.
The program is designed so that you can complete it flexibly and easily alongside your job. What you learn—from financial modeling and data analytics to the use of AI—can be applied immediately in your professional practice.
During your studies, you will receive personal support from our team of professors and benefit from many years of experience in finance, quantitative methods, research, and practice.
You will model the core areas of finance based on a company of your choice, combining financial modeling, financial engineering, data analytics, and AI into an integrated overall picture.
You will work on practical case studies, develop your own financial models, and learn to use AI tools specifically for analysis, modeling, and decision-making.
You develop your own models, analyze results, and defend your decisions. No traditional written exams and no pure rote learning.
With the MBA, there is the possibility of pursuing a doctorate. Our DBA offers a perfect follow-up to the MBA Applied Quantitative Finance. The same two directors who guided you through the MBA will supervise your doctoral thesis.
Information Options
Do you have questions about the application, program sequence, or content?
Detailed information about the MBA Applied Quantitative Finance is available at our regular online info evenings with the program director Prof. Dr. Dietmar Ernst. Next dates:
- Coming soon here
Would you like a personal consultation to clarify open questions?
Appointments for a free consultation with the scientific director Prof. Dr. Joachim Häcker can be arranged directly via email.
Would you like to get to know the program better?
You can get an initial overview of the content, structure, and organization of the MBA Applied Quantitative Finance through our info presentation.
Would you like to have the program presented in a detailed lecture without the stress of an appointment?
In the info video, our program director Prof. Dr. Dietmar Ernst, together with the scientific director Prof. Dr. Joachim Häcker, concisely presents the main features of the MBA Applied Quantitative Finance.
The financial world is changing fundamentally. Artificial intelligence, data analytics, and digitalization are transforming processes, business models, and decision-making structures in companies, banks, insurance, and consulting.
There is a demand for finance professionals who combine financial expertise, quantitative methods, and AI competence. They must be able to analyze data, develop models, use modern AI tools effectively, and critically evaluate their results.
Finance, data analytics, and artificial intelligence are increasingly growing together. New professional opportunities are emerging exactly at this interface.
Young professionals who want to advance and find their own path.
Advisors and consultants who want to expand their analytical skills and offer their clients sound financial models, data-driven analyses, and AI-supported decision support.
Financial service providers and bank employees who want to expand their skills in creating, analyzing, and further developing complex financial models while using modern AI tools effectively.
IT and data science experts who want to combine their technical programming skills with finance, financial modeling, and quantitative methods and use artificial intelligence for financial applications.
Specialists who want to expand their consulting services to include financial modeling, data analytics, and AI-based methods to make financial analyses even more sound.
Managers and executives who want to make financial decisions based on transparent models, sound data analysis, and critically evaluated AI results and further develop their strategic skills.
With 10 modules, one might expect them to be taught by 10 different professors. However, behind the 10 modules are exactly 2 professors who have created this teaching content over the last 20 years in the form of consecutive publications. Using interconnected modules, you will learn how the individual elements of financial modeling, financial engineering, and data analytics are related.
What other quants say about the program
The decision to pursue the MBA Applied Quantitative Finance was exactly the right one—a location- and time-independent program with a focus on case studies from practice and current topics from the financial world, which offers me new perspectives both professionally and personally.
"I was somewhat skeptical about completing a full MBA online. However, I found the innovative course concept with many personal learning opportunities to be brilliant and very sensible.
The case study structure helped break down the enormous theory around quantitative finance into steps and test my practical knowledge with real case examples.
I particularly appreciated the flexible design, which allowed me to fit my studies alongside my professional work."
"The MBA Applied Quantitative Finance is the ideal solution for those who want to pursue further education in the finance sector with a high-quality master's program alongside their professional work while not sacrificing any personal passion or hobby. Working on the various case studies without fixed lecture times allows students to flexibly and independently allocate their learning workload throughout the entire semester. Through this model, I can still play handball to the same extent as I did before starting the MBA."
"The master's program "Applied Quantitative Finance" immediately caught my eye when selecting a master's program. The opportunity to obtain three degrees and the integration of modules in a holistic structure convinced me. As a master's student, I can emphasize the support from the two professors, the flexibility to work through the course content, and the easily understandable literature as an example of excellent teaching in the digital age. I am completely satisfied and gladly recommend the master's program to anyone who wants to prepare for the challenges in the finance sector."
Admission & Application Deadlines
- Registration form
- Further Information (Funding Opportunities)
- External Examination Regulations (EPO)
- Cancellation Policy and Cancellation Form (PDF)
- First university degree (Bachelor with at least 180 ECTS or equivalent) regardless of the field of study
- Qualified professional experience of at least 1 year, whereby internship/practical periods from the first degree, working student activities on a full-time pro-rata basis, and professional activity before a first degree are recognized
- Both admission requirements are met through a dual study program
- Registration for the MBA for the winter semester is possible until September 15
- Registrations for certificate courses from the first and second semesters are possible year-round, up to 2 weeks before the start of the course. Modules from the 3rd semester cannot be taken as certificate courses.
Degree
System-accredited study program for the MBA in Applied Quantitative Finance at HfWU, one of the leading state universities of applied sciences (HaW). The program lasts four semesters. After successful completion of 10 modules including the Master’s thesis and proven 300 ECTS, the degree formally fulfills the requirements for a doctoral project.
System-accredited study program for the MBA in Applied Quantitative Finance at HfWU, one of the leading state universities of applied sciences (HaW). The program lasts four semesters. After successful completion of 10 modules including the Master’s thesis and proven 300 ECTS, the degree formally fulfills the requirements for a doctoral project.
The Master’s offering at the Nürtingen-Geislingen University of Applied Sciences (HfWU) in business degree programs performed brilliantly in the current university ranking. HfWU is among the top ten universities of applied sciences in Germany. The CHE ranking is the most comprehensive university assessment in the German-speaking world. Top marks were given here for the general study situation and the range of courses. In addition, the degree programs performed very well in the categories of contact with professional practice and degree completion within a reasonable time.
We offer studying at a top level at a highly respected state university as part of our part-time MBA in Applied Quantitative Finance. This innovative degree program is based on real case studies, can be studied regardless of time and location, and perfectly prepares all students for exciting and current topics in the financial sector.
Certificate Courses
The two certificate courses of the European Institute of Quantitative Finance are integrated into the MBA Applied Quantitative Finance.
After successful completion of the first semester and the module “Financial Modeling in Portfolio Management,” you will receive the title “Certified Financial Modeler.”
After successful completion of the third semester, you will obtain the title “Certified Financial Engineer.”
After successful completion of the fourth semester, you will graduate with the MBA.
Additionally, your achievements are creditable towards the MBA Applied Quantitative Finance as part of “Academic Excellence.”
For the successful completion of the Certified Financial Modeler and the Certified Financial Engineer, you will receive 8 ECTS each.
We will credit you up to 16 ECTS for the MBA Applied Quantitative Finance. This reduces the total cost of the course from €14,592 to €12,000 if you have completed both certificates (or €13,296 if you have completed one of the two certificates).
With this mutual credit, you have the opportunity to get a taste of the MBA Applied Quantitative Finance. As a student, you only pay €995 for the Certified Financial Modeler or Certified Financial Engineer program. This way, you can ensure that our holistic and digital learning concept of the EIQF is exactly right for you. Regardless of which path you choose, you will acquire three attractive titles upon completion of the degree program.
Tuition Fees
The participation fees for the MBA Applied Quantitative Finance (4 semesters) are 14,592 EUR (VAT-free). The fees are to be paid in 24 monthly installments of 608 EUR via standing order without deduction.
- One-time fee after registration: 50 EUR processing fee
- One-time fee upon admission: 300 EUR admission fee
- In addition, there is a one-time examination fee currently amounting to: 200 EUR
The HfWU has successfully completed system accreditation by the Accreditation Council.
This certified the university’s own system for quality assurance in teaching and learning (AQAS). These certificate courses will in turn be credited toward the MBA Applied Quantitative Finance, and the tuition fees will be reduced accordingly.
The Applied Quantitative Finance study program has successfully completed all stages of this quality assurance system according to the relevant specifications and is accredited on this basis. Thus, it is subject to
continuous and systematic quality monitoring.
The further development of the program is supported and ensured by an advisory board composed of high-caliber representatives from science and practice.
The MBA Applied Quantitative Finance was approved by the State Central Office for Distance Learning (ZFU) on July 2, 2021, under approval number 111 8321.
What does the MBA Applied Quantitative Finance offer?
A combination of financial modeling, financial engineering, data analytics, artificial intelligence, and leadership for AI-driven finance.
What makes the MBA special?
Fully digital MBA with a modular structure, flexible online learning formats, practical case studies, and application-oriented projects.
How is the MBA structured?
How high are the costs?
How long does the MBA take?
What career opportunities does the MBA open up?
Career opportunities at the intersection of finance, analytics, and artificial intelligence—from corporate finance and investment banking to risk management and financial strategy.
How can I apply?
Apply today for the MBA in Applied Quantitative Finance and take the next step in your career!
