{spoiler=MBA "Financial risk management and Data Science"}
For those pursuing a career in risk management and big data analytics
The program trains specialists who are able to model and forecast financial risks using fundamental analytics, econometric models and machine learning algorithms. Accreditation by the Global Association of Risk Professionals (GARP) confirms that a training program meets global professional standards.
Who is the program for
Target audience:
- Bachelor’s or Master’s degree graduates in economics, finance, mathematics and IT
Career tracks:
- National Bank of the Republic of Kazakhstan, Agency of the Republic of Kazakhstan for Regulation and Development of the Financial Market, Freedom Bank, secondtier banks, investment and insurance companies, audit and consulting firms
ܾԳٲ:
- Higher education diploma
- Successful completion of entrance exams
- higher mathematics (passing score: minimum 60 out of 100 points)
- english language
- Grant award: based on the results of the entrance exam and interview for applicants for the grant of the National Bank of the Republic of Kazakhstan and Freedom Bank
Persons who hold valid international certificates confirming proficiency in English at a level of at least IELTS 5.5/ CEFR B2 and persons who have studied in a bachelor's and/or master's degree program in English (with the provision of supporting documents) are exempt from taking the English language entrance exam with the maximum score for the English language entrance exam.
Format:
- Fulltime daytime format
- Duration: 2 years
- Language of instruction: bilingual (Russian + English)
- Training period: October 2025 – May 2027
- Submission of documents: June 1 – August 7
Total tuition fee:
- 5 920 000 tenge (covering the entire duration of studies)
- Payment: in stages (in tranches), corporate payment is possible
Grants:
- Grants from the National Bank of the Republic of Kazakhstan and Freedom Bank (100% of the cost) + scholarships
- KBTU Grants (50% of the cost)
- Scholarships for passing and international certification of FRM (GARP), SCR (GARP)
Foreign citizens and stateless persons permanently residing in the Republic of Kazakhstan are accepted only for training under KBTU grants and on the condition of full payment the cost of training at the expense of the personal funds of these persons and other sources not prohibited by the legislation of the Republic of Kazakhstan
Content:
Data Science Module:
- Statistics (advanced)
- Econometrics
- Algorithms and data structures
- Time series forecasting
- Predictive analytics
- Python programming
- Machine learning
Module Financial Risk Management:
- Financial markets and instruments
- Financial risk management and risk assessment models
- Portfolio management
- Credit risk management
- Operational risk management
- Liquidity risk management of financial institutions
- Scenario analysis and stress testing
- Project management methodology
Module Economic environment of risk management:
- Corporate finance
- Macroeconomics of financial markets
- Financial accounting and analysis
Compulsory component:
- Strategic management
- Business research
- Experimental research work
- Industrial practice
- Final certification (defense of the master's project)
Total volume of the program: 148 academic credits
Advantages and uniqueness
- Opportunity to obtain 2 professions: risk manager and data analyst
- Networking and broad career opportunities
- Lecturers practitioners from the National Bank of the Republic of Kazakhstan, the Russian Federal Reserve Bank, financial organizations, consulting
- 100% applied content and training from top experts
- 100% employment
- Noncompetitive employment at the National Bank of Kazakhstan (for NBRK grantees)
- Noncompetitive employment at Freedom Bank (for Bank grant recipients)
- Scholarship for FRM Level 1 Exam global certification of risk managers
- SCR scholarship Exam global certification for sustainability and climate risk
{/spoilers}
{spoiler=MBA "Macrofinance and Data Science"}
Macroeconomic and investment expertise for those who work with “large systems”
The program combines a deep understanding of macroeconomics, investments, and risks with data analytics practices. It prepares specialists who are able to predict macroeconomic trends, assess systemic risks, develop investment recommendations, and use Data Science to make strategic decisions.
Who is the program for
Target audience:
- Degree graduates in economics, finance, mathematics and IT
Career tracks:
- National Bank of the Republic of Kazakhstan, Agency of the Republic of Kazakhstan for Regulation and Development of the Financial Market, secondtier banks, investment and insurance companies, audit and consulting firms
Requirements:
- Higher education diploma
- Successful completion of entrance exams
- higher mathematics (passing score: minimum 60 out of 100 points)
- english language
- Grant award: based on the results of the entrance exam and interview for applicants for the NBRK grant
Persons who hold valid international certificates confirming proficiency in English at a level of at least IELTS 5.5/ CEFR B2 and persons who have studied in a bachelor's and/or master's degree program in English (with the provision of supporting documents) are exempt from taking the English language entrance exam with the maximum score for the English language entrance exam.
Format:
- Fulltime daytime format
- Duration: 2 years
- Language of instruction: bilingual (Russian + English)
- Training period: October 2025 – May 2027
- Submission of documents: June 1 – August 7
Total tuition fee:
- 5 600 000 tenge (covering the entire duration of studies)
- Payment: in stages (in tranches), corporate payment is possible
Grants:
- NBRK grants (100% of cost) + scholarships
- KBTU Grants (50% of the cost)
- Scholarships for FRM (GARP) International Certification and Passing
Foreign citizens and stateless persons permanently residing in the Republic of Kazakhstan are accepted only for training under KBTU grants and on the condition of full payment the cost of training at the expense of the personal funds of these persons and other sources not prohibited by the legislation of the Republic of Kazakhstan
Content:
Data Science Module:
- Statistics (advanced)
- Econometrics algorithms and data structures
- Time series forecasting
- Predictive analytics
- Python programming
- Machine learning
Macrofinance module:
- Macroeconomics of financial markets
- Financial markets and instruments
- Economics of the firm and industry markets
- Monetary policy
- Applied economics
- Risk management of financial institutions and markets
- Scenario analysis and stress testing technologies
- Project management methodology
Compulsory component:
- Strategic management
- Business research
- Experimental research work
- Industrial practice
- Final certification (defense of the master's project)
Total volume of the program: 140 academic credits
Advantages and uniqueness
- Possibility to obtain 2 professions: macroanalyst and data analyst
- Networking and broad career opportunities
- Practitioners from the National Bank of the Republic of Kazakhstan, the Russian Federal Reserve Bank, financial organizations, and consulting,
- 100% applied content and training from top experts
- 100% employment
- Noncompetitive employment at the National Bank of Kazakhstan (for NBRK grantees)
- Scholarship for FRM Level 1 Exam global certification of risk managers
- SCR scholarship Exam global certification for sustainability and climate risk
{/spoilers}
{spoiler=MBA "Financial technologies"}
The intersection of finance, technology and entrepreneurship
The program prepares leaders who manage digital transformation in finance, develop fintech products and analytical services. Unique focus applied fintech and entrepreneurial strategy.
Who is the program for
Target audience:
- Degree graduates in economics, finance, mathematics and IT
Career tracks:
- National Bank of the Republic of Kazakhstan, Agency of the Republic of Kazakhstan for Regulation and Development of the Financial Market, fintech companies, secondtier banks, investment and insurance companies, audit and consulting firms, credit bureaus
ܾԳٲ:
- Higher education diploma
- Successful completion of entrance exams
- Higher Mathematics (passing score: minimum 60 out of 100 points)
- English language
- Grant award: based on the results of the entrance exam and interview for applicants for the NBRK grant
Persons who hold valid international certificates confirming proficiency in English at a level of at least IELTS 5.5/ CEFR B2 and persons who have studied in a bachelor's and/or master's degree program in English (with the provision of supporting documents) are exempt from taking the English language entrance exam with the maximum score for the English language entrance exam.
Format:
- Fulltime daytime format
- Duration: 2 years
- Language of instruction: bilingual (Russian + English)
- Training period: October 2025 – May 2027
- Submission of documents: June 1 – August 7
Total tuition fee:
- 5 840 000 tenge (covering the entire duration of studies)
- Payment: in stages (in tranches), corporate payment is possible
Grants:
- NBRK grants (100% of cost) + scholarships
- KBTU Grants (50% of the cost)
Foreign citizens and stateless persons permanently residing in the Republic of Kazakhstan are accepted only for training under KBTU grants and on the condition of full payment the cost of training at the expense of the personal funds of these persons and other sources not prohibited by the legislation of the Republic of Kazakhstan
Content:
Data Science Module:
- Statistics (advanced)
- Econometrics
- Algorithms and data structures
- Time series forecasting
- Predictive analytics
- Python programming
- Database management
- Optimization and algorithms
- Machine learning
Module FinTech engineering:
- Financial markets and instruments
- Design thinking and FinTech product development
- Financial risk management and risk assessment models
- Portfolio management
- Risk modeling and antifraud technologies
- Cybersecurity in FinTech
- Scenario analysis and stress testing for decision making
- Blockchain technologies
- Project management methodology
Compulsory component:
- Strategic management
- Business research
- Experimental research work
- Industrial practice
- Final certification (defense of the master's project)
Total volume of the program: 146 academic credits
Advantages and uniqueness
- Possibility to get 2 professions: FinTech Product Manager and data analyst
- Mastering key FinTech areas: blockchain, antifraud, cybersecurity, investments, risks
- Networking and broad career opportunities
- Practical teachers from the National Bank of the Republic of Kazakhstan, the Russian Federal Reserve Bank, tech companies, financial organizations,
- 100% applied content and training from top experts
- 100% employment
- Noncompetitive employment at the National Bank of Kazakhstan (for NBRK grantees)
{/spoilers}
The admission process
{spoiler=Stages of admission}
1. Online registration and document upload or submission of documents to the KBTU Admissions Office (Almaty, Tole bi 59)
2. Entrance exams in offline format:
• Higher Mathematics (minimum score: 60 out of 100) – August 11, 2025
• English Language – August 14, 2025
- Interview at the National Bank of Kazakhstan for NBK Grant applicants / Interview at Freedom Bank for bank grant applicants (after entrance exams)
3. Competitive selection, grant allocation, submission of documents (for those who completed online registration)
4. Enrollment
5. Start of studies – October 2025
List of documents:
Mandatory:
- Application to the rector (established form)
- Bachelor's degree diploma and transcript (original)
- Copy of ID or passport
- Medical certificate form 075/u, fluorography image (with 2 stamps)
- 2 photos 3x4
Additionally:
- International certificates (e.g. confirmation of English language proficiency, professional qualifications)
- Certificates/diplomas for participation in conferences, competitions, olympiads
{/spoilers}