Investments and Data Analysis

Second-cycle Studies
Duration: 1.5 years (3 semesters)
Tuition-based program

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What you will learn

With us, you will master practical data analysis skills using programming languages such as Python, R, and SQL.

You will learn how to respond to changes in a rapidly evolving, robotized and digitally-driven economy.
You will explore modern methods of portfolio management and risk assessment using AI.
You will gain competencies at the intersection of finance and data science.
You will learn how to create professional investment reports and recommendations.
You will develop analytical and strategic thinking, essential for working as a manager, investment advisor, or analyst.

Your skills

You will gain fluency in working with AI and programming tools in investment analysis.
You will understand how to optimize investment strategies in a dynamic market environment.
You will develop a data-driven mindset and approach, useful for managing projects, teams, and risk.
You will become a well-rounded Data Scientist, highly sought after in the job market both domestically and internationally.

Strong points of the program

Synergy of economic knowledge with IT technology to effectively interpret financial phenomena.
Learning through practice – projects, case studies, and analysis of real data.
Classes using modern AI tools and programming languages Python, R, and SQL.
Lectures led by experienced educators and financial market practitioners.
High attractiveness of graduates in the eyes of employers in the financial and non-financial sectors as well as consulting.

Who should study Investments and Data Analysis

For those who:

• Want to gain practical analytical and programming skills in the modern digital economy.

• Are thinking about a career in investments, finance, data science, consulting, fintech, or ESG.

• Plan to take exams for investment advisor or securities broker licenses in the future, or aim to obtain international certifications such as CFA, FRM, or PRM.

• Are looking for a program that provides real preparation for professional challenges in the world of finance and data analysis.

Career paths and opportunities after graduation

You can work as:

• Data Analyst — processing and interpreting data in the financial, economic, and business sectors

• Investment Analyst

• Financial Advisor and/or Investment Advisor

• Securities Broker

• Specialist in Financial Risk Analysis and Management

• Expert in Reporting and Controlling

Contact with the Recruitment Office

E-mail: rekrutacja@wz.uw.edu.pl – for candidates from Poland

admissions@wz.uw.edu.pl – for international candidates

Recruitment Schedule for Studies in the 2025/2026 Academic Year

• Registration in the IRK system: June 5, 2025 – July 22, 2025
• Payment of the application fee: June 5, 2025 – July 23, 2025
• Announcement of results: August 1, 2025
• Submission of documents by admitted candidates: August 2, 5–6, 2025.
  If there are any shifts on the reserve list, additional two-day submission dates will be posted on the candidate’s individual account in the IRK system.

Fees

Application fee (including payments made from abroad)

Fee for issuing a student ID card (ELS)

The studies are paid – wysokość opłat za studia

Required Documents

List of documents to be submitted in paper form if admitted to the program.

Admission Criteria

Applicants for the first year of second-cycle (Master’s) studies must hold a Bachelor’s, Master’s, Engineer’s, or equivalent degree.
Candidates are admitted based on the arithmetic average calculated from:

• The final grade on the higher education diploma
• The grade point average (GPA) from the course of studies

A ranking list is created based on the final score calculated according to the criteria above.

Admission Rules for Candidates with a Foreign Diploma

The same rules apply as for candidates with a diploma obtained in Poland.
If the foreign diploma does not include a final grade, the GPA from the course of studies will be treated as the equivalent grade, adjusted to the grading scale used at the University of Warsaw.

Internet Candidate Registration (IRK)