Course Structure

Learning takes place through a combination of face-to-face teaching and independent study, including lectures, practical tutorials, laboratory sessions, personal development sessions, real-life project briefs and case studies.

Students study 60 ECTS credits per year. The structure of the course is a subject to change by feedback received from a variety of sources.

Entry Requirements

Educational Background

Applicants must have completed secondary school, academic lyceum, or professional college and provide diploma with academic transcripts.

Minimum English Proficiency

• IELTS 6.0 or;
• CEFR B2 (56 - 60) or;
• TOEFL iBT 60 (Only TOEFL iBT tests taken at approved test centers are accepted. The TOEFL iBT Home Edition is not accepted).
  
  Note: If your English proficiency test certificate is not yet available, please upload it through your personal account by July 13, 2026.

Entrance Exam Requirement

Entrance Exam
Applicants are required to pass the Math & Logical Thinking entrance exam. To learn more about the exam structure and format, please refer to the exam specification page.

Exemption from Entrance Exam
Applicants with the following certificates have the opportunity to be exempted from the entrance exam and receive a 100% merit-based scholarship. To be considered for this opportunity, applicants must follow a three-step process.

• Applicants with scores below the required threshold are not eligible for exemption and must take the entrance exam.

Step 1: Meet Initial Academic Requirements

Applicants must meet both of the following requirements:

• the required score on SAT / IB / AS & A Levels Math
• the minimum required IELTS score
• Note: If your certificates are not yet available, please upload them to your personal account by June 12, 2026 to be eligible for the interview. Applicants who do not upload both required certificates by the deadline will not be eligible for the interview. In this case, applicants may still take the entrance exam and compete for a scholarship based on their exam score.

Step 2: Attend an Interview

Candidates who fulfill the academic requirements in Step 1 will be invited to an offline interview. This is a mandatory step to be considered for the scholarship and exam exemption.
The interview is designed to assess:

• The applicant’s commitment to the university as a scholarship holder
• Enthusiasm for the chosen subject
• Ability to clearly express future academic objectives

Interview Rules

• Only applicants with the required scores in IELTS and SAT / IB / AS & A Levels are eligible for the interview.
• The interview is conducted in English and must be attended in person at New Uzbekistan University.
• Each interview lasts 10 - 15 minutes.
• Each applicant may attend the interview only once.
• Applicants who pass the interview will receive an early conditional offer letter, which requires payment to secure their place.
• Applicants who do not pass or are not eligible for the interview may take the entrance exam and still compete for a scholarship based on their exam score.

Interview Dates

• Please note that the Admissions Committee will schedule interview date and time on a rolling basis. The exact date and time of your interview will be communicated via email one week in advance.

Step 3: Secure Your Place

Applicants who pass the interview will receive a conditional offer for admission with a 100% merit-based scholarship. To accept the offer and secure your place, you must make the required payment by the deadline indicated in your offer letter.

Graduation Requirements

Students will be allowed to graduate upon completion of all requirements listed below:

• - Students must have a minimum 2.00 GPA/CGPA at the end of their final semester;
• - Student must have a minimum of 240 ECTS or as designated in Handbook;
• - Students must successfully complete all University and Program requirements;
• - Students cannot have any outstanding Incompletes or IP grades on their transcripts;
• - Student must complete all degree requirements within 7 (seven) years including any leave periods, of the initial program registration date.

Fees and funding:

Career / Job opportunities

Economics and Data science is a dynamic and continually evolving field. The vast knowledge and many skills related to economics and data science mean that professionals in this field have a variety of job options and can work in a range of industries, such as economics, finance, accounting, health care, technology, marketing or others. Professionals can have an array of choices when it comes to finding a job that fits their interests and abilities. You might start out as:

Economist - An economist is a professional and practitioner in the social science discipline of economics. The individual may also study, develop, and apply theories and concepts from economics and write about economic policy.

Financial analyst - A financial analyst is a professional, undertaking financial analysis for external or internal clients as a core feature of the job. The role may specifically be titled securities analyst, research analyst, equity analyst, investment analyst, or ratings analyst.

Statistician - A statistician is a person who works with theoretical or applied statistics. The profession exists in both the private and public sectors. It is common to combine statistical knowledge with expertise in other subjects, and statisticians may work as employees or as statistical consultants

Actuary - An actuary is a business professional who deals with the measurement and management of risk and uncertainty. The name of the corresponding field is actuarial science. These risks can affect both sides of the balance sheet and require asset management, liability management, and valuation skills.

Data scientist - A data scientist determines the most effective ways of collecting or evaluating data sets. Data scientists use analytical abilities to assess data and discover insights that can help businesses make strategic improvements. An economics and data science degree can help data scientists evaluate the causal relationships between data points or sets in different ways.

Data engineer - Data engineers build the infrastructure, software tools and applications that gather and analyze sets of data. Their responsibilities include transforming unstructured data into useable formats, finding patterns within data sets and setting batch processing systems in motion. With an economics background, data engineers may have unique insights into data trends and structures.