Don't want to give up your job, but still want to grow? Want expand your skills while working?
Study at Central European University as a part-time student and build a solid professional foundation in Finance or Business Analytics.
These programs are structured in a way that you don't need to give up your career, but can combine it with your studies. We help you develop your career or change your profession.
AGENDA
- Why it is worthwhile to continue your studies
- What is the difference between university education and online courses
- What to study additionally in finance and/or business analytics that qualifies for top experts, instead of just standard concepts
- What subjects you can learn in MS in Finance or MS in Business Analytics program
- How to get classes from Harvard/MIT/Princeton /GeorgiaTech professors in Europe at in-person interactive seminars, instead of sitting on lectures mute as part of the mass
- How your study schedule looks like and what efforts do we expect from your side
- How you may combine your work experience and studies to save time and optimize synergies
WHY CEU PRIVATE UNIVERSITY?
Listed among the top 100 universities worldwide in the QS World University Rankings in a variety of subjects, CEU is known for excellence in teaching and research.
Based in Vienna CEU brings together students and faculty from over 100 countries to exchange ideas in an open and dynamic community.
CEU is a university offering a US (also in Austria) accredited degree in the heart of Europe, and offers English-language Business Master's in
FIND OUT MORE ABOUT FINANCE AT CEU
The 1 Year Master's in Finance program in Vienna at CEU is a one-year specialized business master’s program, offering a professional finance curriculum designed and taught in cooperation with industry partners, and has a modular structure of
- Investments & Banking
- Financial Management
- Innovation & Fintech
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Data Tools & Analytics
CEU consults on the content with the Advisory Committee, which is a working group of senior company executives offering professional guidance. It meets regularly to advise on the curriculum and set professional standards.
Companies represented include Morgan Stanley, BlackRock, Boston Consulting Group, Citi, GE, JP Morgan, McKinsey and MSCI.
In the program you learn to:
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demonstrate advanced skills in all key finance areas including corporate financial management, financial assets and investments, portfolio management, financial intermediation and financial markets
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apply key statistical, analytical, technological and management tools employed in the finance profession to collect, analyze, synthesize and act upon data
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engage in critical thinking and creative problem-solving to autonomously (1) diagnose, investigate and evaluate complex finance issues, (2) map and critically analyze possible scenarios and solutions, (3) plan and execute strategic courses of action in ways that optimize organizational resources and recognize social, ethical, economic and regulatory issues
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communicate and articulate finance problems, ideas, advice and solutions to both professional and non-professional audiences.
FIND OUT MORE ABOUT BUSINESS ANALYTICS AT CEU
You learn to analyze and act on insights from data
The Master's in Business Analytics program serves a pressing business need of preparing quantitative professionals and key decision makers for data driven businesses and has a modular structure of
1. Foundations (mathematics, informatics)
2. Data Engineering (SQL, big data, cloud)
3. Data Analysis (explorative DA, regression, prediction)
4. Data Science (ML, text analysis, R, Python)
5. Data Visualization (Tableau, Shiny, Python)
6. Managing Analytics (agile and SCRUM, designing projects)
7. Capstone Project (practice)
You learn to:
- use statistical analysis to find patterns and evaluate past and future business interventions
- write code, apply predictive analysis and models of causal analysis
- collect and parse data, and translate it into actionable insights
- get familiar with key tools, frameworks and platforms, and learn to implement processes in production
- manage a data-driven business and create knowledge from big data and other sources of quantitative information
- collaborate with software development specialists, quantitative analysts, and present your analysis in a clear and effective manner
VISIT THE EVENT TO LEARN MORE AND GET INSTANT ANSWERS FOR YOUR QUESTIONS