Data Science in Economics

The specialisation in the field of study Economics

Learn to harness the potential inherent in data and numbers with our "Data Science in Economics" degree program in English!

Programme description

If you like numbers, have a flair for detective work and want a job where something new is happening all the time and you are constantly learning something new - this specialisation is for you. 

Our curriculum covers a wide range of topics, such as:

  • programming languages (Python and R), mandatory in data science,
  • talking about real case studies from the business world,
  • data science and economics: pthe economic perspective provides a platform to learn about practical applications of data science.

Applied tools and certificates

  • Programming tools such as Python and R
  • free access to more than 98% of courses from the Coursera platform

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Career Perspectives

  • project manager
  • business analyst
  • strategic advisor
  • quantitative analyst
  • data visualization expert

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Programme benefits

Why choose our specialisation?

  • you will learn economic theories along with practical applications of data science: you will gain a deep understanding of economic principles while honing your practical data analysis skills,
  • you will have the opportunity to adapt your program to more statistical or economic aspects of the subject (in your final year),

What will you gain by choosing "Data Science in Economics"?

  • you will gain skills that employers are actively looking for: from statistical analysis to machine learning, you will be prepared to deal with real-world economic challenges using the latest tools and techniques,
  • you will apply your knowledge by engaging in hands-on projects that simulate real-world scenarios,
  • you will develop your first professional project portfolio while still in college (GitHub).

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Partners

Emis

Wraz z firmą Emis, liderem w dostarczaniu danych ekonomicznych, opracowaliśmy merytoryczny program studiów i powołaliśmy Radę Programową. Członkowie Rady aktywnie uczestniczą w procesie dydaktycznym, prowadząc wykłady, doradzając studentom i oceniając ich prace. Dzięki temu studenci mają stały dostęp do wiedzy i doświadczenia ekspertów i mogą rozwijać swoje umiejętności pod okiem doświadczonych praktyków. 

Academic staff

Tuition fee

full-time studies
part-time studies
Study Fees - 1 year
(2 semesters)

2 x 6120 PLN

8 x 1530 PLN

2 x 5520 PLN

8 x 1380 PLN

Study Fees - 2 year
(2 semesters)

2 x 6480 PLN

8 x 1620 PLN

2 x 5880 PLN

8 x 1470 PLN

Study Fees - 3 year
(2 semesters)

2 x 6840 PLN

8 x 1710 PLN

2 x 6240 PLN

8 x 1560 PLN

Application process

  1. Register online
    You can enrol for our University in a few simple steps:

  2. Pay admission fee and submit your documents
    Admission fee is PLN 85* (bank account details will be available in the Candidate’s Account after online registration)
    *Lazarski University graduates are exempt from the admission fee. Please, note that admission fee is non-refundable.
     
  3. Deliver documents to the Admissions Office.

  4. Wait for the enrolment decision
    You will receive your acceptance letter by email or in the Admissions Office.

  5. Congratulations - you are a student!
    Are you already among our students? We encourage you to download all useful information we have prepared for those who are beginning their studies at Łazarski University! Student Welcome Pack.

Apply now
Data Science in Economics
Apply now
Language of instruction:
Polish
Duration:
3 years
Faculty:
Faculty of Economics and Management
field of study:
Economics
Type of studies:
Bachelor’s degree
Studies mode:
  • full-time studies
  • part-time studies
Obtained title:
BA Degree
Studies programme