Program Structure

The program consists of ECTS 120 credits distributed over two year full-time.

Classes are expected to be held four times a week in the morning and afternoon. Please note that the schedule is subject to change.

Note: The structure of the course is subject to change.

Program learning outcomes

Graduates of the M.Sc. in Economics and Data Science will possess:

• Advanced Economic Knowledge: Master economic theories, models, and methodologies to analyze complex issues.
• Proficiency in Data Science Tools and Techniques: Evaluate policies and market trends, applying evidence-based solutions using Python, R, or similar for data analysis and computational modeling.
• Research Competence: Conduct independent research and communicate findings effectively. Develop and apply advanced mathematical and statistical methods to analyze economic phenomena and large datasets. Conduct independent and collaborative research using cutting-edge methods in economics and data science.
• Global Perspective: Analyze economic issues from a global and multicultural perspective.
• Ethical Decision-Making: Address ethical considerations in economic analysis and policy.
• Global Perspective: Analyze economic issues from a global and multicultural viewpoint.
• Leadership and Communication: Demonstrate leadership, teamwork, and clear communication of economic concepts.
• Lifelong Learning: Commit to continuous learning and adaptability in evolving economic contexts.

Entry requirements

Educational Background

Applicants must hold a Bachelor’s degree (minimum 180 ECTS credits) awarded by an accredited higher education institution. The degree must be completed in either full-time or part-time mode of study.

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: Applicants who have completed their bachelor’s degree entirely in English are not required to submit the above-mentioned language proficiency certificates.

Entrance Exam Requirement

Applicants are required to pass the Math entrance exam.

Applicants with a GRE/GMAT (10th or Focus edition) certificate may be exempt from the entrance exam. Their exam results will be based on their score in the GRE/GMAT Math (Quantitative) section.

To check how GRE/GMAT Math (Quantitative) score compares to the exam score, please use the equivalency table below.

If applicants prefer, they may still take the exam. In case of a difference between the score granted from the GRE/GMAT Math (Quantitative) section and the exam score, the higher score will be considered.

Equivalency table

Exam Date and Deadline for Registration

Associated Partner with GreEnFin Master’s Program

NewUU is an associated partner of the GreEnFin Erasmus Mundus Joint Master Program University of Bologna ranked #130th in THE World University Rankings 2026. The partnership establishes a supported study abroad opportunity for Italian and Uzbek students, backed by Erasmus + ICM scholarships. 

The GrEnFIn EMJM is a collaborative degree program offered by the University of Bologna (Italy), Ludwing-Maximilian University of Munich (Germany), and Paris-Dauphine University (France), with support from internationally renowned associated partner institutions. The GreEnFin program is a two-year, second-cycle multidisciplinary Master's program totaling 120 ECTS. It is designed to provide students with a rigorous education focused on analyzing and managing challenges related to the transition to a low-carbon economy, leveraging financial innovation and promoting a risk management approach. As an associated partner, NewUU supports the program's dissemination and promotion across its local, national, and international networks to contribute to the recruitment and selection of qualified international students. 

In the coming two years, the partnership will leverage Erasmus + funding to facilitate academic exchanges and thesis preparation for a total of four students, two from NewUU and two from Bologna, at the partner university.

Fees and Funding

Career Perspectives

M.Sc. in Economics and Data Science program emphasizes integrating quantitative methods, programming skills, and analytical tools to address real-world economic and policy challenges. Graduates will be prepared for careers in academia, industry, or government, where they can leverage data-driven insights to inform decision-making and innovate in the digital economy.