Data Engineering >
Big data in business management >
Intelligent data processing
Data Engineering
, first-cycle studies, Full-time studies, starting year 2024/2025
ECTS
W
C
L
P
S
Credit
Subject Card
Basics of computer programming
5
30
-
15
20
-
z
Basics of computer programming
Download the subject card
ECTS
5
Credit
assessment
Number of hours:
Lecture
30 h
Laboratory
15 h
Project
20 h
Linear algebra
3
15
15
-
-
-
z
Linear algebra
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Business law
2
15
15
-
-
-
z
Business law
ECTS
2
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Hypertext and hypermedia
3
15
-
6
20
-
z
Hypertext and hypermedia
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
6 h
Project
20 h
Precalculus
3
15
15
-
-
-
z
Precalculus
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Semester: 2 (2024/2025 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Foreign Language 1
2
-
30
-
-
-
z/e
Foreign Language 1
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Object programming
3
15
-
11
30
-
e
Object programming
Download the subject card
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
11 h
Project
30 h
Algorithms and data structures
5
30
-
15
15
-
e
Algorithms and data structures
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
15 h
Project
15 h
Semester: 3 (2025/2026 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
Foreign Language 2
2
-
30
-
-
-
z/e
Foreign Language 2
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Physical Education 1
0
-
30
-
-
-
z/e
Physical Education 1
ECTS
0
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Databases
4
15
-
30
-
-
e
Databases
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Digital Technologies for Business Communication
3
15
-
30
-
-
z
Digital Technologies for Business Communication
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Technical physics
5
15
15
15
-
-
e
Technical physics
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Exercises
15 h
Laboratory
15 h
Mathematical statistics
4
30
30
15
-
-
e
Mathematical statistics
ECTS
4
Credit
exam
Number of hours:
Lecture
30 h
Exercises
30 h
Laboratory
15 h
Semester: 4 (2025/2026 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Foreign Language 3
2
-
30
-
-
-
z/e
Foreign Language 3
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
3
-
30
-
-
-
z/e
Ethics
3
-
30
-
-
-
z
Psychological aspects of assessment and decision making
3
-
30
-
-
-
z
Introduction to cognitive science
3
-
30
-
-
-
z
Socio-humanistic electives
ECTS
3
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Ethics
ECTS
3
Credit
assessment
Number of hours:
Exercises
30 h
Psychological aspects of assessment and decision making
ECTS
3
Credit
assessment
Number of hours:
Exercises
30 h
Introduction to cognitive science
ECTS
3
Credit
assessment
Number of hours:
Exercises
30 h
Physical Education 2
0
-
30
-
-
-
z/e
Physical Education 2
ECTS
0
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Frameworks and tools for data engineers
4
30
-
30
-
-
e
Frameworks and tools for data engineers
ECTS
4
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
Marketing research
3
15
-
30
-
-
z
Marketing research
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Artificial intelligence
5
15
-
30
15
-
e
Artificial intelligence
Download the subject card
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Project
15 h
Corporate finance
3
15
15
15
-
-
z
Corporate finance
Download the subject card
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Exercises
15 h
Laboratory
15 h
Semester: 5 (2026/2027 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
Foreign Language 4
2
-
30
-
-
-
z/e
Foreign Language 4
ECTS
2
Credit
-
Number of hours:
Exercises
30 h
Przedmioty w module:
Visualization of economic data
3
15
-
30
-
-
z
Visualization of economic data
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Data warehouses
3
15
-
30
-
-
e
Data warehouses
ECTS
3
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Subjects from Stream: Big data in business management
Business Data Analytics
4
15
-
30
-
-
z
Business Data Analytics
ECTS
4
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Enterprise Information Systems
5
15
-
30
-
-
e
Enterprise Information Systems
ECTS
5
Credit
exam
Number of hours:
Lecture
15 h
Laboratory
30 h
Informatization strategies
3
15
-
15
-
-
z
Informatization strategies
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
15 h
Business process analysis and optimization
4
15
-
30
-
-
z
Business process analysis and optimization
ECTS
4
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Decision analysis
6
30
-
30
-
-
e
Decision analysis
ECTS
6
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
Semester: 6 (2026/2027 - summer)
ECTS
W
C
L
P
S
Credit
Subject Card
Cybersecurity of Enterprise Infrastructure
3
30
-
30
-
-
e
Cybersecurity of Enterprise Infrastructure
ECTS
3
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
Data quality assurance
3
15
-
-
15
-
z
Data quality assurance
ECTS
3
Credit
assessment
Number of hours:
Lecture
15 h
Project
15 h
Subjects from Stream: Big data in business management
Digital Business
5
30
-
30
-
-
z
Digital Business
ECTS
5
Credit
assessment
Number of hours:
Lecture
30 h
Laboratory
30 h
IT Project Management
5
15
-
30
-
-
z
IT Project Management
ECTS
5
Credit
assessment
Number of hours:
Lecture
15 h
Laboratory
30 h
Diploma thesis 1
4
-
-
-
15
-
z
Diploma thesis 1
ECTS
4
Credit
assessment
Number of hours:
Project
15 h
Business Data Semantics and Representation
5
30
-
30
-
-
e
Business Data Semantics and Representation
ECTS
5
Credit
exam
Number of hours:
Lecture
30 h
Laboratory
30 h
Semester: 7 (2027/2028 - winter)
ECTS
W
C
L
P
S
Credit
Subject Card
Intellectual property protection
2
-
15
-
-
-
z
Intellectual property protection
ECTS
2
Credit
assessment
Number of hours:
Exercises
15 h
Subjects from Profile: Intelligent data processing
Deep neural networks for data analysis
4
15
-
-
30
-
e
Deep neural networks for data analysis
ECTS
4
Credit
exam
Number of hours:
Lecture
15 h
Project
30 h
Diploma thesis 2
10
-
-
-
45
-
z
Diploma thesis 2
ECTS
10
Credit
assessment
Number of hours:
Project
45 h
Diploma seminar
2
-
-
-
30
-
z
Diploma seminar
ECTS
2
Credit
assessment
Number of hours:
Project
30 h