Study programme	Financial Engineering
Higher Education Institution	Riga Technical University
Study field	Physics, Material Science, Mathematics, and Statistics

Code of the study programme in accordance with the Latvian Education Classification	42460
EQF/LQF Level	6
Study Programme Type	Otrā līmeņa profesionālā augstākā izglītība (piektā līmeņa profesionālā kvalifikācija un profesionālā bakalaura grāds) vai otrā līmeņa profesionālā augstākā izglītība (piektā līmeņa profesionālā kvalifikācija), īstenojama pēc vispārējās vai profesionālās vidējās izglītības ieguves. Studiju ilgums pilna laika studijās četri gadi
Study programme (short name)	Professional bachelor study programme
Thematic group	Matemātika un statistika
ISCED code	0541; 0542
ISCED	Matemātika un statistika
Credit points	160
Degree to be acquired	Professional bachelor degree in financial engineering
Qualification to be obtained	Senior data analysis specialist
Study type and form	Full time studies
Study lenght	4 years
Language	latvian

Licence number	04051-136
Licence date	26.02.2009
Licenced till

Accreditation page number	Netiek izsniegta
Accreditation date	13.09.2023
Accreditation duration (in years)	6
Accreditation till	14.09.2029

1) the compliance of the knowledge and skills of the graduates with the occupational standard;
2) to understand the economic and financial situation in Latvia and in the world;
3) ability to identify financial and actuarial problems that can be solved by applying information technologies;
4) ability to analyze business-related processes using IT solutions;
5) ability to manage optimization of security portfolios and investments;
6) ability to analyze, model and forecast financial flows, as well as to design management systems for financial analysis using IT solutions;
7) ability to explain the basic principles of the use of financial instruments;
8) skills to assess profitability and risk of financial investments, to develop recommendations for reduction of financial risks;
9) skills to solve economic and social tasks by conducting the statistical analysis of the financial flows;
10) ability to conduct statistical analysis of such indicators as mortality, functional disorders, and others using IT solutions;
11) skills to analyze insurance market trends and calculate insurance losses and premiums using IT solutions;
12) ability to apply modern quantitative methods in financial analysis and financial engineering;
13) skills to use mathematics and statistics software;
14) skills in order to be able to act independently and make decisions, as well as to use the acquired knowledge in practice;
15) reach a certain level of culture, which allows starting public activities and communicating with Latvian and foreign intellectual circles.