Tuition Fees Uzb
54,439,200 UZS
per course
Tuition Fees International
75,870,000 UZS
per course
1 year - full time
2 years - part time

Course description

The MSc in Business Intelligence and Analytics is currently the most popular postgraduate route of studies in international higher education. The course will help you explore the world of modern data science that addresses the business need to advance data organisation and information gathering, get insight into information and exploit knowledge hidden in routinely collected data to improve decision-making. The course is technology focused and will equip you with advanced knowledge and skills in business intelligence as well as in predictive and prescriptive analytics so that you become a professional “story-teller” on comprehensive business information.

Throughout your learning journey, you will be working with a team of dedicated, dynamic and research active academic staff who are committed to providing high quality research-led teaching with practical classes. You will benefit from talks and presentations by visiting lecturers – a range of e-business and IT industry specialists – and various student forums where you will have the opportunity to present your research findings to leading business people and professionals.

How you will study

Learning on this course is a partnership between the student, his/her peers, and the teaching team. It is a mix of timetabled activity and student’s own personal study.

The course applies a problem-based learning approach to structure the content and delivery of lectures, seminars and other in/out-of-class activities with the use of case studies to improve your analytical and problem-solving skills. In practical workshop seminars, you will enrich your problem-solving skills in various business analytics tools through the use of a wide range of application software and platforms, such as MSc Excel and its sophisticated Add-ins, Power BI, Python, SPSS, SQL and non-SQL-based DBMS, AWS, Simul8, Insight Maker and others. The course team organises regular presentations by external speakers with industrial experience that will help you understand how the taught material is applied in industry.

Teaching staff are often engaged in research or commercial activities and this ensures that you will gain an understanding of contemporary issues in the field. Student projects are often integrated with industry real cases and problems. This makes the course very attractive as well as a practical study destination if you want to grasp the global digital challenge as a data science professional.

Course structure

The course consists of seven core modules and four optional modules. The course structure is validated by the University of Westminster (UK) every five years. This may change, if necessary, in order to adapt to feedback received from a variety of sources.


  • Big Data Theory and Practice     
  • Business Analytics          
  • Data Repositories Principles & Tools      
  • Research Methods and Professional Practice     
  • Business Systems Postgraduate Project
  • Business Optimisation  
  • Simulation Modelling: Risk, Processes, and Systems      
  • Data Mining and Machine Learning        
  • Data Warehousing and OLAP    
  • Digital Business
  • Project Management


Exploit the global digital challenge

Irrespective of your previous educational or professional background, the course will help you become an internationally demanded professional in business intelligence & analytics. After graduation, you will be to apply sophisticated knowledge, problem-solving skills and information technology tools to find the insights of business data and information for effective decision making.

Professional academic team

You will learn in close collaboration with a team of dedicated, dynamic and research active academic staff who are committed to providing high quality research-led teaching with practical classes, exploring international and local business cases.
Broader career opportunities

If you are motivated to learn, this is the right course to study business analytics and enter the workforce as a data scientist. The job landscape is promising locally and internationally, opportunities stem from a broad range of industries and the nature of the job often allows for remote work flexibility and even self-employment.


Applicants should normally hold an Undergraduate degree (or equivalent) from a recognised higher education institution with a minimum of a second lower class honours (2:2 or equivalent). Applicants without a formal higher education qualification or a formal qualification that is not at an equivalent academic standard, may be considered if the following conditions apply:

  • They are or have been in employment where their role is in the area of the course and involves a high level of analysis and critical thinking.

Applicants must have:

  • Had their first or second degree (or equivalent) taught and assessed in English; or

  • IELTS with an overall score of at least 6.5 with a minimum of 6.0 in writing or another English Language Test recognised by the University of Westminster.

We accept the TOEFL (IBT (In person test) for entry to our programmes. We also accept TOEFL ‘My Best Scores’ where it relates to TOEFL iBT test results.

Please note that the TOEFL Home Edition (Online test) is not accepted for entry to WIUT degree programmes.

  • TOEFL should be 88 overall with a minimum of 21 in Writing


Graduates can pursue a brilliant professional career locally or internationally, joining leading e-businesses, retail head offices, public sector organisations such as public administration bodies and health service management, financial and banking institutions, brokers and regulators, along with all specialist support consultancies in IT, market research and forecasting, all of which use data in their decision making processes.

Graduates employed at

Yulduz Yakubova

Vacant position



Aybek Nazarbaev
Aybek Nazarbaev
MSc in Business Intelligence and Analytics 
Head of Finance Department,
Project Implementation Group Shurtan Gas Chemical Complex LLC
Tashkent, Uzbekistan
I strongly recommend to those who have everyday responsibility for analysing data before making decisions to think of this opportunity to gain new skills in WIUT. I discovered new IT-sources that can help me make decisions faster, better and easier. Through MSc in Business Intelligence and Analytics, you can learn skills for analysing past achievements and simulating future outcomes so that you can find optimal solutions for your business that will be the best available in real circumstances of the market.
Malika Jumaniyazova
Dinara Shigabutdinova  
MSc in Business Intelligence and Analytics 
Tashkent, Uzbekistan
The MSc in Business Intelligence and Analytics has been everything I have dreamt it to be. Excellent teachers and interactive seminars are what one will find if he/she ever decides to take this course. Before I started, I did not have a computer intelligence background but, nevertheless, this did not serve as an obstacle for me but rather as an interesting opportunity which I do not regret. Highly recommend it to everyone!
Bekzod Alimov
Jakhongir Isakov
MSc in Business Intelligence and Analytics 
Financial Analyst,
Safia Confectionery House
Tashkent, Uzbekistan
The course helps me learn new tools in analysing the performance of our company and it also makes me understand better how powerful internal company data can be. I look forward to discovering even greater horizons of data analysis throughout the modules of the MSc in Business Intelligence and Analytics.


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