Analytics in Business and Financial Markets (WS 26/27)

Start your future in the world of finance & business

The Analytics in Business & Financial Markets degree program combines business expertise, data analysis and applied mathematics. It forms the basis for your rapid career in data-driven finance and consulting companies. This is ensured by the selection of modern, practice-oriented course content in conjunction with dedicated, professionally experienced lecturers who are always available for you.

Information on the study program compact

Degree

Bachelor of Science (B.Sc.)

Standard duration of study

6 semesters

Start

for the first time in the winter semester 2026/27

Application deadline

on September 1 (more about the application process at h-da.de)

Admission

No admission restrictions, NC-free degree course.

Admission requirements include

general higher education entrance qualification, subject-specific higher education entrance qualification, entrance qualification for universities of applied sciences.

Information on vocational qualifications can be found under Study without Abi

Language

German

Location

Darmstadt University of Applied Sciences, Schöfferstraße 3, Darmstadt

dual

also dual study possible

What is so special?

  • Interdisciplinary & up-to-date:
    Combination of economics, mathematics & data analytics
  • Concrete career preparation:
    Case studies, practical phase & company cooperation
  • Future-proof:
    Ideal for data-driven professions that will continue to be in high demand in the future
  • Flexible:
    Individual focus and easy transfer to the Computational Mathematics and Data Science and Artificial Intelligence degree programs up to the third semester
  • Several options for a Master's degree at the department

Job prospects & career opportunities

The career prospects for graduates with a background in analytics, business and finance are excellent and promise strong growth in the coming years. The demand for qualified specialists will remain high, salaries are attractive and career opportunities are diverse.

With a degree in Analytics in Business & Financial Markets, you will be an architect of economic solutions and a variety of career paths will open up for you:

Company:

  • Marketing Analyst: Analysis of marketing data to optimize campaigns and improve customer acquisition.
  • Supply Chain / Logistics and Six Sigma / Lean Manager:Optimizes capacity, costs and processes in procurement, production and international distribution.
  • Customer Analyst: Analyzes customer data to improve customer loyalty and develop new products and services.
  • Market researcher: Conducts market research and analyzes market data.
  • Corporate Development / Corporate Strategy:Develops growth strategies, evaluates M&A options and guides companies through transformations.
  • Strategic Marketing / Product Management Manager:Manages product and service portfolios, implements pricing strategies and optimizes market launches.
  • Controller:Analyzes key figures, monitors costs and revenues, and supports management with KPI-based decisions.
  • Market Intelligence / Business Development Manager:Identifies market potential, analyzes competitors and develops data-based business opportunities.
  • Quantitative Analyst (Quant): Development and implementation of mathematical models for financial markets, pricing of derivatives, risk management
  • Data analyst / data scientist (focus banks, insurance companies, investment funds): Analysis of financial data, risk assessment, fraud detection, portfolio optimization, analysis of customer behavior
  • Risk manager: identification, measurement and management of financial risks
  • Financial controller: analysis of financial data, preparation of financial reports and budgets
  • Management Consultant (with a focus on analytics): Analyzes business processes, identifies improvement potential and develops strategies.
  • Strategy Consultant: advises companies on market strategies, transformation, competitive positioning and data-based decisions.
  • Data Science Consultant: Advising companies on the implementation of data or financial solutions.
  • Business Intelligence Analyst: Development of dashboards and reports for data visualization.
  • Data Engineer: Development and maintenance of data infrastructures and data pipelines.
  • Data Scientist (focus tech company): Development of algorithms for machine learning, deep learning and artificial intelligence.

Course content & structure

Explanations:

CP are credit points according to the European ECTS (European Credit Transfer and Accumulation System). 1 CP corresponds to 30 hours of work.

Click on the graphic to enlarge.

Practice & Cooperation

Practical relevance and our cooperation networks as a booster for your career start.

  • Practical projects during your studies: e.g. parcel delivery by cable car
  • (Dual) cooperation with companies: e.g. NielsenIQ, Viridium, ...
  • Practical semesters and/or final theses in companies: e.g. Audi, KfW, R+V, KPMG, ...
  • Guest lectures, excursions, company visits: e.g. excursion to the ECB

More about our cooperation partners

International exchange programs

In the standard study program, the 5th semester was designated as a potential semester abroad (window of mobility).

 

Application & Admission

What documents are required?

Applications are submitted via the application process at h_da. Please note that all necessary documents must be submitted with your application. Preparing these takes time. You should therefore start at least four weeks before the application deadline.

Checklist:

  • University entrance qualification (degree certificate)
  • Curriculum vitae in tabular form
  • Proof of health insurance
  • Further documents if necessary (e.g. residence permit, language certificates)

Further tips & information:

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We look forward to hearing from you