Major Informatics and Econometrics

2023/24, second cycle (post bachelor's degree), part-time studies

Studia prowadzone są w języku polskim. Studia rozpoczynają się od semestru zimowego, trwają 4 semestry (2 lata) i kończą się uzyskaniem tytułu zawodowego magistra.

Kierunek Informatyka i ekonometria prowadzony jest także w języku angielskim.

Absolwent kierunku powinien znać metody i narzędzia matematyczne, statystyczne i ekonometryczne niezbędne do zaawansowanej analizy zjawisk gospodarczych w skali mikro- i makroekonomicznej, jak również do podejmowania racjonalnych decyzji we wszelkiego rodzaju podmiotach i organizacjach gospodarczych. Powinien posiadać umiejętności w zakresie projektowania i wdrażania zaawansowanych systemów informatycznych i baz danych w organizacjach gospodarczych, instytucjach finansowych i ubezpieczeniowych oraz organach administracyjnych, a także formułowania strategii ich informatyzacji. Absolwent powinien posiadać umiejętności niezbędne do prowadzenia zaawansowanej działalności doradczej, wymagającej kwalifikacji analitycznych, w której konieczne jest stosowanie narzędzi matematycznych, statystycznych, ekonometrycznych i informatycznych, jak również do realizowania prac o charakterze twórczym.

Studia przygotowują do przyszłej pracy zawodowej analityków danych i doradców decydentów na każdym poziomie gospodarowania. Odbiorcami takich analiz powinny być administracja państwowa i regionalna oraz przedsiębiorstwa i instytucje finansowe. Absolwenci znajdą zatrudnienie na stanowiskach analityków gospodarczych, konsultantów z zakresu badania relacji występujących w zjawiskach gospodarczych, doradców finansowych i ubezpieczeniowych, kierowniczych niższych szczebli zarządzania, projektantów, technologów, konsultantów i użytkowników w zakresie rozwiązań informatycznych wykorzystujących współczesne technologie informacyjno-komunikacyjne, administratorów aplikacji e-biznesowych oraz użytkowników biznesowych (i informacyjnych) zasobów Internetu, we wszystkich rodzajach przedsiębiorstw, jednostkach samorządu terytorialnego, agencji rządowych, organizacji i instytucji aktywnych w przestrzeni Internetu - stosujących technologie informatyczne i teleinformatyczne. Absolwent powinien być przygotowany do prowadzenia prac badawczych i do podjęcia studiów trzeciego stopnia (doktoranckich).

Absolwent powinien znać język obcy na poziomie biegłości B2+ Europejskiego Systemu Opisu Kształcenia Językowego Rady Europy oraz posiadać umiejętności posługiwania się językiem specjalistycznym z zakresu informatyki, ekonomii, zarządzania, finansów oraz matematyki stosowanej.

Do końca pierwszego semestru student zobowiązany jest do realizacji szkolenia BHP, szkolenia bibliotecznego oraz szkolenia z zakresu dyskryminacji i jej przeciwdziałania. Wszystkie szkolenia odbywają się z wykorzystaniem technik kształcenia na odległość, na platformie: szkolenia.sggw.pl

Link do strony wydziału: https://wzim.sggw.edu.pl/

Program studiów

List of courses - Winter semester, 2023/24 See additional information
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Szkolenie BHP Course details OHS training: 4 h ECTS points: 0.00 Form of verification: Pass Mandatory: Obligatory subjects	OHS training: 4	-	Pass	O
Course details Lecture: 18 h Auditorium exercises: 18 h ECTS points: 5.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 18 Auditorium exercises: 18	5	Exam	O
Course details Lecture: 18 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 18 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 3.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	3	Exam	O
Course details Lecture: 18 h Laboratory exercises: 9 h ECTS points: 4.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 18 Laboratory exercises: 9	4	Pass with grade	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Pass with grade	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Pass with grade	O
Course details Lecture: 9 h Laboratory exercises: 9 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 9	2	Pass with grade	O
Course details Laboratory exercises: 24 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Laboratory exercises: 24	2	Pass with grade	O
Course details ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Mandatory group	Language course: 18	2	Pass with grade	G
Student wybiera zajęcia z języka obcego
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Sum	244	30

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W semestrze 1. studenci realizują szkolenie bhp oraz szkolenie biblioteczne na platformie dostępnej pod adresem https://szkolenia.sggw.pl

List of courses - Summer semester, 2023/24 See additional information
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Pass with grade	O
Course details Auditorium exercises: 18 h ECTS points: 2.00 Form of verification: Pass Mandatory: Obligatory subjects	Auditorium exercises: 18	2	Pass	O
Course details ECTS points: 6.00 Form of verification: Pass with grade Mandatory: Mandatory group	Lecture: 54	6	Pass with grade	G
Student wybiera trzy przedmioty z otwartej listy
Moduł 1 Course details Lecture: 54 h ECTS points: 6.00 Form of verification: Pass with grade Mandatory: Elective subjects	Lecture: 54	6	Pass with grade	F
Course details ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Mandatory group	Language course: 18	2	Pass with grade	G
Student realizuje zajęcia z języka obcego wybranego w semestrze 1
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Course details Language course: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Elective subjects	Language course: 18	2	Pass with grade	F
Sum	171	22

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Student wybiera jedną specjalizację, którą realizuje w semestrach 2, 3 i 4

List of speciality courses - Analizy dużych zbiorów danych - Big Data - Summer semester, 2023/24
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details ECTS points: 8.00 Form of verification: Exam/pass with grade Mandatory: Mandatory group	Lecture: 18 Laboratory exercises: 36	8	Exam/pass with grade	G
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Pass with grade	O
Sum	54	8

List of speciality courses - Systemy Business Intelligence - Summer semester, 2023/24
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details ECTS points: 8.00 Form of verification: Exam/pass with grade Mandatory: Mandatory group	Lecture: 18 Laboratory exercises: 36	8	Exam/pass with grade	G
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Pass with grade	O
Sum	54	8

List of courses - Winter semester, 2024/25
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details Lecture: 18 h Laboratory exercises: 18 h ECTS points: 5.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 18 Laboratory exercises: 18	5	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h ECTS points: 1.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9	1	Pass with grade	O
Course details ECTS points: 6.00 Form of verification: Pass with grade Mandatory: Mandatory group	Lecture: 54	6	Pass with grade	G
Student wybiera trzy przedmioty z otwartej listy
Moduł 2 Course details Lecture: 54 h ECTS points: 6.00 Form of verification: Pass with grade Mandatory: Elective subjects	Lecture: 54	6	Pass with grade	F
Course details Auditorium exercises: 18 h ECTS points: 2.00 Form of verification: Pass Mandatory: Obligatory subjects	Auditorium exercises: 18	2	Pass	O
Sum	171	22

List of speciality courses - Analizy dużych zbiorów danych - Big Data - Winter semester, 2024/25
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details ECTS points: 8.00 Form of verification: Exam Mandatory: Mandatory group	Lecture: 18 Laboratory exercises: 36	8	Exam	G
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Sum	54	8

List of speciality courses - Systemy Business Intelligence - Winter semester, 2024/25
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details ECTS points: 8.00 Form of verification: Exam Mandatory: Mandatory group	Lecture: 18 Laboratory exercises: 36	8	Exam	G
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 4.00 Form of verification: Exam Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	4	Exam	O
Sum	54	8

List of courses - Summer semester, 2024/25
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details Laboratory exercises: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Laboratory exercises: 18	2	Pass with grade	O
Course details Lecture: 18 h Auditorium exercises: 9 h ECTS points: 3.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 18 Auditorium exercises: 9	3	Pass with grade	O
Course details Lecture: 9 h Auditorium exercises: 9 h ECTS points: 1.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Auditorium exercises: 9	1	Pass with grade	O
Course details ECTS points: 20.00 Form of verification: - Mandatory: Mandatory group	Diploma thesis: 0	20	-	G
Student wybiera tematykę pracy magisterskiej
Praca magisterska Course details Diploma thesis: 0 h ECTS points: 20.00 Form of verification: - Mandatory: Elective subjects	Diploma thesis: 0	20	-	F
Course details Auditorium exercises: 18 h ECTS points: 2.00 Form of verification: Pass Mandatory: Obligatory subjects	Auditorium exercises: 18	2	Pass	O
Sum	81	28

List of speciality courses - Analizy dużych zbiorów danych - Big Data - Summer semester, 2024/25
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Mandatory group	Lecture: 9 Laboratory exercises: 18	2	Pass with grade	G
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	2	Pass with grade	O
Sum	27	2

List of speciality courses - Systemy Business Intelligence - Summer semester, 2024/25
Subject	Number of hours	ECTS points	Form of verification	Mandatory
Course details ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Mandatory group	Lecture: 9 Laboratory exercises: 18	2	Pass with grade	G
Course details Lecture: 9 h Laboratory exercises: 18 h ECTS points: 2.00 Form of verification: Pass with grade Mandatory: Obligatory subjects	Lecture: 9 Laboratory exercises: 18	2	Pass with grade	O
Sum	27	2

Major Informatics and Econometrics

See additional information

See additional information

Speciality: Analizy dużych zbiorów danych - Big Data

Speciality: Systemy Business Intelligence

Speciality: Analizy dużych zbiorów danych - Big Data

Speciality: Systemy Business Intelligence

Speciality: Analizy dużych zbiorów danych - Big Data

Speciality: Systemy Business Intelligence