Master
Why Choose This Program?
- Strong Mathematical Foundations
- Advanced Computer Science Skills
- Artificial Intelligence & Machine Learning
- Applied Statistics & Econometrics
- Innovation & Entrepreneurship
- Leadership & Teamwork
5-Year Integrated Program
Preparatory Cycle (2 Years)
Second Cycle (3 Years)
Key learning areas
Statistics & Econometrics
- Applied Statistics
- Econometrics
- Multidimensional Analysis
- Biostatistics
- Survey Techniques
Artificial Intelligence
- Machine Learning
- Neural Networks
- Deep Learning
Programming & Data Engineering
- Python
- R Programming
- Databases
- Data Mining
Data Analysis & Modeling
- Time Series
- Stochastic Processes
- Operations Research
- Decision Theory
Economic Applications
- Industrial Organization
- Network Economics
- Project Evaluation
Research & Professional Skills
- Research Methodology
- Scientific Computing
- Internship Preparation
- English for Data Science
Ready to Shape the Future?
This program transforms students into versatile, highly capable professionals ready to lead digital transitions, exceptionally qualifying them to excel as data engineers, expert data analysts, and pioneering researchers across a multitude of socio-economic sectors.
Applied Economics and Forecasting focus on using economic theories and quantitative methods to analyse real-world economic problems and predict future trends. Students learn to build economic models, interpret data, and apply econometric techniques. Key areas include macroeconomic forecasting, financial modelling, market analysis, and policy evaluation.
Programme overview
Government & Public Institutions
Evidence-based policy support
Business & Consulting
Business intelligence solutions
Research, Analytics & Finance
Economic forecasting expertise
Building Expertise in Applied Economics and Forecasting
Focusing on the intersection of economic theory and practical foresight, the Master in Applied Economics and Forecasting trains students to utilize rigorous quantitative methods to dissect real-world economic challenges and accurately predict future market trajectories.
Throughout this advanced academic path, students master the intricate methodologies required to construct precise economic models, interpret vast arrays of complex data, and skillfully apply cutting-edge econometric techniques.
Carrer impact
Strategic Foresight
Develop the ability to anticipate future economic, technological, and societal changes through advanced foresight methodologies, scenario planning, and strategic decision-making.
Economic Intelligence
Acquire expertise in economic intelligence, strategic monitoring, competitive analysis, and evidence-based decision support for organizations and public institutions.
Econometrics & Time Series Analysis
Master advanced econometric methods, time series modeling, stochastic processes, and simulation techniques to analyze and forecast complex economic phenomena.
Project Evaluation & Economic Modeling
Develop competencies in project appraisal, economic modeling, policy evaluation, and quantitative methods to support sustainable economic planning and investment decisions.
Professional Skills Development
Statistical Software
Rigorous training in statistical software.
Research Methodology
Research methodology
English Proficiency
English language proficiency forms the backbone of their practical education.
This highly strategic field plays a paramount role in supporting and guiding macro-level decision-making processes within governments and corporate enterprises.
Graduates confidently secure influential roles as professional economic analysts and policy advisors, utilizing their unparalleled forecasting expertise to shape sustainable economic development strategies.
Statistics and Economic Forecasting combine statistical tools with economic theory to analyze trends and predict future economic conditions. It involves collecting, modeling, and interpreting economic data to guide decisions in finance, policy, and business. Key topics include time series analysis, regression models, macroeconomic indicators, and forecasting techniques. The field helps economists and analysts make data-driven predictions about inflation, GDP, employment, and markets. Graduates work in central banks, research institutions, financial firms, and international organizations.
Programme overview
Statistical Methods
Econometrics
Time Series
Data Science
Academic Excellence
The academic pathway is distinguished by its highly advanced technical modules, ranging from fundamental econometrics and operations research to cutting-edge introductions in machine learning and deep learning.
Students comprehensively study multivariate time series, stochastic processes and simulation, dynamic macroeconomics, and the new geographic economics.
Practical applications
The curriculum heavily emphasizes practical applications through modules in polling techniques, demographic analysis, decision theory, and project management.
Econometrics, Data Science & AI
By combining econometrics, statistical learning, artificial intelligence, and modern programming, the curriculum prepares students to analyze large datasets, develop predictive models, and solve complex real-world problems.
- Econometrics
- Predictive Analytics
- Machine Learning
- Data Mining
- R & Python
Graduates develop strong quantitative, computational, and econometric skills to support data-driven analysis, forecasting, and evidence-based decision-making across diverse sectors.
The Master's in Statistics and Economic Forecasting equips students with advanced quantitative, econometric, and artificial intelligence techniques to analyze economic systems, anticipate future trends, and support strategic decision-making. Through a multidisciplinary curriculum, students develop expertise in forecasting, economic intelligence, data analytics, and evidence-based policy design.
Program Overview
The program provides a comprehensive education in statistical analysis, econometrics, economic forecasting, and strategic foresight. Students learn to model complex economic phenomena, analyze large datasets, and develop predictive tools using artificial intelligence and modern analytical methods. Graduates are prepared to contribute to public institutions, international organizations, research centers, and private enterprises where data-driven decision-making is essential.
Academic Curriculum
The curriculum combines advanced courses in econometrics, time series analysis, strategic foresight, and artificial intelligence with applied economic disciplines such as industrial economics, dynamic macroeconomics, and new geographical economics. Students also develop competencies in operations research, survey techniques, databases and big data, population projection, and decision theory, providing a strong foundation for economic analysis, forecasting, and policy evaluation.
Skills & Professional Impact
The program emphasizes practical analytical skills through advanced training in economic intelligence, project evaluation and management, statistical information systems, research methodology, and economic communication. By integrating econometric modeling, artificial intelligence, and strategic foresight, graduates acquire the expertise to transform complex data into reliable forecasts and evidence-based recommendations, enabling them to support strategic planning and informed decision-making across both public and private sectors.
Social Statistics involves the use of statistical methods to analyse data related to human behaviour, society, and social structures. It is commonly used in sociology, political science, economics, education, and public policy.
Data sources
Social statisticians work with data from censuses, surveys, and administrative records to understand social trends.
Application fields
It is commonly used in sociology, political science, economics, education, and public policy.
Decision & impact
It helps policymakers and researchers make informed decisions about social programs and reforms.
Finance and Actuarial Science is an interdisciplinary field that combines financial theory with statistical and mathematical methods to assess and manage financial risk. Actuaries use probability, statistics, and economic models to evaluate uncertainties in insurance, pensions, investments, and other financial sectors. Key topics include financial mathematics, risk modelling, investment analysis, life contingencies, and stochastic processes. The field plays a critical role in long-term financial planning and risk management. Graduates pursue careers as actuaries, financial analysts, risk managers, and consultants in insurance companies, banks, and government agencies.
Program overview
The Master in Finance and Risk Calculation is a premier interdisciplinary program that masterfully bridges classic financial theory with advanced statistical and mathematical methodologies to expertly assess and manage financial risks. Specialists in this domain learn to heavily utilize probability theory, deep statistics, and robust economic models to evaluate complex uncertainties across insurance, pension funds, diverse investments, and broader financial sectors.
Core curriculum
The curriculum is exceptionally dense, covering core subjects such as financial mathematics, risk modelling, investment analysis, and the intricacies of stochastic processes. Students delve into highly specialized modules including financial econometrics, time series analysis, project evaluation and financing, credit risk management, and the microeconomic analysis of banks and insurance companies.
Practical training & tools
To ensure unparalleled practical readiness, the program integrates hands-on training in financial analysis and corporate diagnostics, portfolio management, data mining techniques, and advanced simulation methods. This extensive technical foundation is complemented by studies in demography, capital markets, banking and financial market law, scientific research methodology, and professional English, all heavily supported by the use of specialized statistical analysis software.
Career outcomes
Consequently, graduates emerge as highly sought-after actuaries, elite financial analysts, risk managers, and strategic consultants, perfectly equipped to navigate and stabilize operations within major insurance firms, commercial banks, and government institutions.