7M04103 · MASTER’S · PROFESSIONAL
Business Analytics and AI
A faster, practice-oriented route into data-driven management: management competencies where business analytics meets artificial intelligence — in one year.
1 year
DURATION
60 credits
PROGRAM WORKLOADWORKLOAD
Russian and English
LANGUAGE OF INSTRUCTIONLANGUAGE
Full-time
MODE OF STUDYMODE
Master of Business and Management
DEGREE
3 000 000 ₸ per year
TUITION
Fee-paying only
FUNDING BASISBASIS
24 July — 28 August
ADMISSION 2026–2027
ABOUT THE PROGRAM
This is the professional (practice-oriented) version of the Business Analytics and AI master’s program — for those who want management competencies in business analytics and artificial intelligence sooner, without the research and teaching track, but with the same applied focus on real business.
The program trains managers for business, with advanced professional knowledge and competencies in analyzing and optimizing business processes, making management decisions with AI, developing digital products, assessing risks and managing the innovative development of organizations. The program is aimed at solving practical and management tasks in business analytics, data analysis and the use of artificial intelligence for the digital transformation of organizations.
CAREER
What graduates do
- Business analyst
- AI project manager
- Head of a structural unit
The same range of career positions as in the two-year program, but with a faster entry into the labor market.
FEATURES
Program features
A shorter format without losing depth
Just 1 year and 60 credits — the program gives full management and analytical competencies in a short time, for those who want to reach a new professional level quickly.
A practical focus rather than a research one
Instead of a master’s thesis there is a master’s project; instead of research work there is experimental research work with an internship.
The degree of Master of Business and Management
The degree awarded reflects the management rather than research nature of the training directly — a signal to employers about an applied qualification.
A flexible track with two elective directions
AI for Business and Analytics and AI for Digital Transformation and Innovation — the same choice of specialization as in the research and teaching version of the program, but in a compact format.
Industrial practice instead of research and teaching practice
The program does not prepare you for a teaching career — the whole emphasis is on real experience of working in an organization.
The same set of career opportunities in less time
From business analyst and AI project manager to head of a structural unit — with a faster entry into the labor market.
SPECIALIZATIONS
Educational tracks
The program runs along two learning tracks, shaped by the professional interests of the students.
AI for Business and Analytics
A track for those who want to go deep into analytics and the use of AI for management tasks: advanced business analytics and AI strategy, machine learning for business analytics, financial analytics and risk management, predictive analytics, process mining.
AI for Digital Transformation and Innovation
A track for those who want to lead digital transformation and innovation at the level of the organization: AI-driven business model innovation, generative artificial intelligence for business decisions, data management and AI governance.
Both tracks rest on a shared block of courses and end with industrial practice and the student’s experimental research work, including an internship and the preparation of a master’s project.
LEARNING OUTCOMES
What you will learn
On completing the program, a graduate is able to:
- Shape and carry out development strategies for organizations in the digital economy and AI transformation, and use the tools of strategic management, business analytics and data-driven management.
- Apply business analytics methods, BI systems and tools for visualization and for quantitative and qualitative data analysis to assess how effectively an organization performs.
- Use artificial intelligence, machine learning and data mining methods to raise the operational efficiency of organizations, automate processes and make forecasts.
- Develop and carry out digital transformation strategies for organizations and introduce AI solutions, digital platforms and innovative approaches to management.
- Organize corporate data management, ensure the quality, security and integrity of data, and apply the principles of data governance and AI governance.
- Apply predictive analytics, financial modeling, forecasting and risk assessment to develop management decisions and support strategic planning.
- Manage AI projects and digital transformation initiatives and apply intelligent business process automation and change management.
- Ensure information security, data protection and risk management when using AI technologies, and take into account the legal, ethical and social aspects of AI in business.
- Develop AI products and digital services, shape innovative business models, carry out market analysis and apply product management methods.
- Carry out applied research in business analytics and artificial intelligence, analyze and interpret the results, and prepare analytical reports and technical documentation.
PRACTICE AND TOOLS
Practice and tools
During their studies students gain hands-on experience of applying analytics and artificial intelligence to real management tasks.
- Business analytics methods and BI systems
- Visualization tools and quantitative and qualitative data analysis for assessing the performance of an organization
- Machine learning and data mining
- For raising operational efficiency, automating processes and forecasting
- Predictive analytics and financial modeling
- Risk assessment and support for strategic planning
- Data governance and AI governance
- Organizing corporate data management and ensuring the quality, security and integrity of data
- Managing AI projects and digital transformation
- Intelligent business process automation, change management, cross-functional collaboration
- Product management and building AI products
- Market analysis, shaping innovative business models, creating competitive digital solutions
- Industrial practice and internship
- Real experience of working in an organization, applying the competencies gained
The program ends with the student’s experimental research work, which includes an internship and a master’s project — an applied rather than a theoretical result of study.
STUDY PLAN
What you study
Courses marked “Elective” are chosen by the student.
| Course Title | Credits |
|---|---|
| FUNDAMENTAL DISCIPLINES | |
| Psychology of Management | 3 |
| Foreign language (professional) | 3 |
| Elective: Business Analytics and Data-Driven Decision Making / Generative AI for Business Solutions | 4 |
| MAJOR DISCIPLINES | |
| Machine Learning for Business Analytics | 5 |
| Data Management and AI Governance | 5 |
| industrial practice | 4 |
| Elective: Advanced Business Analytics and AI Strategy / AI-Driven Business Model Innovation | 5 |
| Elective: Predictive Analytics and Forecasting for Management / Process Mining and Intelligent Automation | 5 |
| Elective: Financial and Risk Analytics with AI / Change Management for AI Transformation | 5 |
| EXPERIMENTAL AND RESEARCH WORK AND CERTIFICATION | |
| Experimental and research work of a master’s student, including an internship and a master’s project | 13 |
| Design and protection of the master’s project | 8 |
TUITION AND FUNDING
Tuition
STUDY
3 000 000 ₸
per year, professional master’s, full-time. Payment terms are set by the contract.
SUBMIT DOCUMENTS — Opens in a new tabSTATE GRANTS
Not available for master’s programs
Admission to a master’s program runs on a fee-paying basis only — by competition on the results of the Comprehensive Test (CT).
ADMISSION
How to apply
Take the Comprehensive Test (CT)
The program belongs to the field 7M041 “Business and Management”. Admission runs by competition on CT results and on a fee-paying basis only.
Confirm your level of English
IELTS Academic from 5.0, TOEFL iBT from 65, TOEFL ITP from 460 — or a language interview with the admissions committee.
Submit your documents
Through admission.qairu.kz: ID card, bachelor’s diploma, 3×4 photo, medical documents, proof of payment.
Wait for the decision of the admissions committee
Once your application has been reviewed — enrollment.
Get a consultation
We will walk you through the program, the entrance tests and the payment — by phone or by email.
- 8 (700) 300 33 17
- info@nairu.edu.kz
Astana, 55/1 Mangilik El Ave., EXPO Business Center, block B 2.2
Mon–Fri, 09:00–18:00
QUESTIONS AND ANSWERS
Questions and answers
The program is a management one: it teaches you to apply artificial intelligence to business tasks, not to build models from scratch.
7M04103 · MASTER’S
One year to data-driven management
We will help you make sense of the requirements and the format — call or write to the admissions committee.
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