Baku, July 17, AZERTAC

Starting from the 2026/2027 academic year, Baku Engineering University (BEU) will launch another new specialization - training personnel in "Financial Engineering."

The main goal of the specialization is to train highly qualified specialists capable of solving complex problems arising in financial markets by using modern mathematical models, statistical methods, programming, artificial intelligence, and digital financial technologies.

The program develops master's students' skills in modeling financial markets, assessing risks through quantitative methods, optimizing investment decisions, applying financial technologies, and data-driven decision-making.

The specialization is designed to train professional financial engineers who will accelerate digital transformation, manage financial risks effectively, and contribute to the development of innovative financial products for banks, investment and insurance companies, financial markets, financial technology (FinTech) companies, and state financial institutions.

In the first stage of the curriculum, master's students are introduced to the fundamentals of financial engineering. During this stage, they study academic writing and research ethics, financial engineering and risk management, digitalization in international finance, advanced econometrics, research methods, and advanced microeconomics. In addition, master's students have the option to choose courses in macroeconomic modeling, capital markets engineering, data analytics in finance, portfolio optimization, optimization methods, and numerical methods in finance. This stage develops students' analytical thinking, ability to build mathematical models, and skills in processing financial data.

In the second stage, the education takes on a more applied and professional orientation. Master's students acquire knowledge and skills in research analytics, financial technologies, valuation of derivative financial instruments, quantitative risk management, risk engineering in finance, modeling of monetary policy, blockchain technologies and cryptocurrencies, as well as modeling of public finance. This stage enhances master's students' professional competencies in decision-making in financial markets, risk assessment, and the application of financial innovations.

In accordance with the content of the curriculum, the educational process will be organized based on modern approaches such as project-based learning, problem-based learning, building financial models using computer programs, data analytics and big data processing, econometric and statistical analysis methods, application of quantitative finance and optimization techniques, solving practical examples based on real financial markets, application of FinTech and blockchain technologies, as well as research- and presentation-based assessment.

Within the framework of the program, master's students will be taught both mandatory and elective courses.

According to the curriculum, in the final semester of the program, master's students will undergo an academic-pedagogical internship and a research internship of the same credit volume, and will prepare and defend their master's dissertation.

Source: azertag.az