Master of Finance
Frankfurt School offers an extensive range of academic programs, including Bachelor of ...
Master in Applied Data Science
Frankfurt am Main
INTAKE: August
Program Overview
Frankfurt School offers a comprehensive range of academic programs, including Bachelor of Science degrees in fields like Business Administration and Computational Business Analytics. It also provides several specialized Master of Science programs such as Finance, Management, and the Master in Applied Data Science. The school has a variety of MBA options, including a full-time MBA and part-time and executive formats. For those pursuing advanced research, a doctoral program is also available. The curriculum across all programs is designed to foster a strong link between theory and practice, preparing students for leadership roles and ensuring they are well-equipped to meet the demands of the modern business world.
Curriculum: The curriculum at Frankfurt School is a blend of rigorous theoretical knowledge and practical, hands-on application. It frequently employs a case study-based teaching method, similar to that of Harvard Business School, to encourage critical thinking and problem-solving. A strong emphasis is placed on quantitative and analytical skills. For instance, the Master in Applied Data Science program includes core modules in quantitative foundations, algorithms, and machine learning, alongside an emphasis on business integration. The learning experience is enriched by access to cutting-edge resources like the Finance Lab, which is equipped with professional-grade terminals.
Research Focus: Frankfurt School places a high value on research, which is a key driver of its academic reputation. The faculty, comprising over 80 active researchers, regularly publishes in prestigious international journals. The school operates several specialized research centers that facilitate a continuous exchange of knowledge between academia and industry. Key research areas include central banking, sustainable finance, and the implications of technologies like blockchain and AI in the financial sector. This strong research focus ensures that the curriculum remains relevant and at the forefront of financial and business innovation.
Industry Engagement: Located in a major financial hub, Frankfurt School benefits from strong and continuous engagement with the business and financial communities. The school has numerous partnerships and memberships with leading companies and financial institutions, which directly influence curriculum development and provide invaluable networking opportunities for students. The Career Services department acts as a crucial link, offering career counseling, workshops, and exclusive access to employers. Guest lectures, conferences, and seminars featuring industry experts are a regular part of the academic calendar, providing students with firsthand insights and practical knowledge from the professional world.
Global Perspective: Frankfurt School's global perspective is a cornerstone of its educational philosophy. The institution attracts a diverse student body from nearly 100 countries, fostering a truly international campus culture. This global outlook is further enhanced by an extensive network of over 90 partner universities worldwide, offering students a wide range of study-abroad and exchange opportunities. Most programs are taught in English, and the school also provides German language classes to assist international students. This emphasis on global collaboration and cultural diversity prepares graduates to succeed in an increasingly interconnected global economy.
Location
Frankfurt am Main
Score
IELTS 7
Tuition Fee
Euro 35500
Postgraduate Entry Requirements
Application Fees: €100
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.5 in each component.
- TOEFL: Overall score of 90 or higher.
Frankfurt School of Finance & Management is attracting the brightest minds from around the world by offering a variety of scholarships for international students. These scholarships are designed to recognize academic excellence, leadership potential, diversity, and the drive to make a global impact.
Merit-Based Scholarships: Frankfurt School offers several merit-based scholarships for outstanding international students applying to Bachelor’s, Master’s, and MBA programs. These scholarships are awarded based on academic achievements, test scores, and exceptional extracurricular involvement.
Women in Business Scholarships: In an effort to support gender equality and empower women in leadership, Frankfurt School offers targeted scholarships for female international students, especially those applying to MBA and Master’s in Management or Finance programs. These scholarships help bridge the gender gap in business education and leadership roles.
Need-Based Financial Aid: International students who demonstrate financial need may apply for partial need-based scholarships or tuition deferrals. This ensures that financial constraints do not hinder high-potential students from accessing quality education.
Scholarships for Specific Programs: Some programs, such as the Master of Finance, Master in Management, and Full-Time MBA, have dedicated scholarship schemes for international candidates. These scholarships are often competitive and may require an additional essay or interview.
Early Bird Discounts: Students who apply early are eligible for Early Bird Tuition Discounts, which can reduce the overall cost of the program significantly. This is especially beneficial for self-funded international students.
The Master in Applied Data Science from Frankfurt School of Finance & Management is specifically designed to equip graduates with the skills to thrive in the data-driven economy.
Data Scientist: The most direct career path, involving the analysis of complex data to extract insights and inform business decisions. This role is crucial in almost every industry.
Machine Learning Engineer: Focuses on designing, building, and deploying machine learning models and algorithms to solve specific problems, such as fraud detection or customer churn prediction.
Data Analyst: Works to collect, process, and perform statistical analysis on data to identify trends and patterns, often presenting findings to a non-technical audience.
Quantitative Analyst (Quant): A highly specialized role within the financial sector that uses mathematical and statistical models to price securities, manage risk, and forecast market trends.
Big Data Engineer: Responsible for building and maintaining the infrastructure required for the storage, processing, and analysis of large datasets.
Business Intelligence (BI) Analyst: Helps organizations make better business decisions by analyzing data and creating reports and dashboards that summarize key performance indicators.
Risk Management Analyst: A crucial role in finance that uses data science techniques to identify, measure, and manage financial and operational risks within an organization.
Financial Technology (FinTech) Specialist: Works at the intersection of finance and technology, using data science to develop innovative financial products, services, and platforms.
Consultant (Data & Analytics): Advises clients from various industries on how to leverage data and analytics to improve their business strategies and operations.
Research Scientist (AI/Data): A more research-oriented role, often in a corporate or academic setting, focused on developing new algorithms and methodologies in artificial intelligence and data science.
