Data Science in Economics

Program Overview

Lazarski University's "Data Science in Economics" program is a 3-year Bachelor's program that equips students with the skills to analyze data and apply it to economic challenges. The curriculum includes programming languages (Python and R), real-world case studies, and IBM and Google certification opportunities. Graduates are prepared for careers such as Project Manager and Data Visualization Expert, addressing the high demand for data science skills in today's job market.

Program Outline

Degree Overview:

The "Data Science in Economics" program is a 3-year Bachelor's degree program taught in English at Lazarski University. It is designed for students who enjoy numbers, have a knack for detective work, and are interested in a career where they are constantly learning and encountering new challenges. The program aims to equip students with the skills and knowledge necessary to analyze data and apply it to real-world economic problems.

Objectives:

The program aims to:

• Provide students with a deep understanding of economic principles.
• Develop students' practical data analysis skills.
• Prepare students to deal with real-world economic challenges using the latest tools and techniques.
• Equip students with skills that employers are actively looking for, including statistical analysis and machine learning.
• Provide students with the opportunity to tailor their program to more statistical or economic aspects of the subject in their final year.

Description:

The curriculum covers a wide range of topics, including:

• Programming languages (Python and R), which are essential for data science.
• Real-life case studies from the business world.
• The study of data science and economics, with an economic perspective providing a platform for learning about the practical applications of data science.

Teaching:

• The program is taught by a team of experienced faculty members, including economists, data scientists, and software developers.
• Students have access to a variety of learning resources, including online platforms like Coursera.
• Students have the opportunity to gain the IBM Data Science Professional Certificate and Google Data Analytics Professional Certificate.
• Students can also gain practical experience through projects that simulate real-life scenarios.

Careers:

• Possible career paths after graduation include:
• Project Manager
• Business Analyst
• Strategic Advisor
• Quantitative Analyst
• Data Visualization Expert

Other:

• Students have free access to over 98% of the courses published on the Coursera platform.
• Students can build a professional portfolio on GitHub while still studying.
• The program offers the opportunity to gain valuable skills that are in high demand by employers.
• Students will be prepared to tackle real-world economic challenges using the latest tools and techniques.

| Type of Study | Fees | | :----------- | ----------- | | full-time | 2 x 2280 EUR | | | | | | | | | 2 x 2400 EUR | | | | | | | | | | | | 2 x 2520 EUR | | | |