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Registration - EU applicants

Registration - non-EU applicants

Career opportunities

Studies prepare for:

  • using for professional purposes a general knowledge of higher mathematics and its basic practical applications, formulating mathematical content in the language of logics, self-learning advanced mathematics with applications
  • using for professional purposes a general knowledge of information technology at a ECDL (European Computer Driving Licence) level
  • working as programmer, systems analyst, data analyst, operations research analyst, financial analyst, statistician, financial advisor

A bachelor’s degree entitles you to:

  • progress to MA programmes (e.g. in Mathematics, Informatics)
  • undertake postgraduate course


Work placements

Compulsory work placements:

  • 120 hours of professional practices in companies employing mathematicians or IT workers or analysts

Optional work placements:

  • offer available in KUL’s Careers Centre according to your own predispositions, interests and labor market needs


  • offer available in KUL’s Careers Centre according to own predispositions, interests and labor market needs

Skills acquired by Informatics graduates

  • ability of logical and analytical thinking and effective problem solving with mathematical methods, including optimization problems
  • additional competences in advanced mathematics and its applications, obtained by completing elective courses

  • ability to present own and team results
  • teamwork skills
  • skills for formulating opinions on basic mathematics-related problems
  • ability to present selected achievements of higher mathematics in a popular way
  • activities in public life comply with the principles of ethics
  • foreign language usage at B2 level in Common European Framework of Reference

  • qualifications to act as self-employed specialists;
  • preparation for developing a small-size company
  • understanding the general, legal and formal requirements for self-employment

  • general knowledge of computer systems analysis, utility applications, programming, computer-assisted data analysis, computations and mathematical modeling
  • skills for applying mathematical methods using IT tools

  • ability to formulate and analyze problems and to select appropriate research methods, acquired during classes conducted by scientists and through participation in scientific seminars, membership in student science clubs and participation in popular science conferences

Education requirements

Secondary School Diploma and a document confirming your English proficiency at level B2.