Digital chemistry
Digital chemistry
CHEMISTRY
Course of education |
2025 – 2027 |
Specialisation |
Digital Chemistry |
Type of study |
Second-cycle studies / Master’s study |
Mode of study |
Full-time studies |
Study profile |
academic |
During each semester, the student should obtain a minimum of 30 ECTS points from obligatory and optional classes (elective)
SEMESTER 1 |
||||||
subject |
lecture |
auditorium classes |
laboratory classes |
TOTAL |
E/P |
ECTS |
Education health and safety (e-learning; extended course) |
|
5 |
|
5 |
PWN |
0 |
Repetitory in mathematics |
|
30 |
|
30 |
P |
3 |
Repetitory in general and inorganic chemistry |
|
30 |
|
30 |
P |
3 |
Repetitory in organic chemistry and biochemistry |
|
30 |
|
30 |
P |
3 |
Introduction to digital chemistry |
10 |
|
|
10 |
P |
1 |
Introduction to Python programming – lecture |
15 |
|
|
15 |
E |
2 |
Introduction to Python programming – laboratory classes |
|
|
45 |
45 |
P |
3 |
Quantum chemistry in practice – lecture |
30 |
|
|
30 |
E |
3 |
Quantum chemistry in practice – laboratory classes |
|
|
45 |
45 |
P |
3 |
Exploratory analysis of multidimensional chemical space – lecture |
30 |
|
|
30 |
E |
3 |
Exploratory analysis of multidimensional chemical space – laboratory classes |
|
|
45 |
45 |
P |
4 |
Foreign language III |
|
30 |
|
30 |
P |
2 |
In the first semester, students complete a compulsory library course |
||||||
SEMESTER 1 |
85 |
125 |
135 |
345 |
3 |
30 |
SEMESTER 2 |
||||||
subject |
lecture |
auditorium lasses |
laboratory classes |
TOTAL |
E/P |
ECTS |
Introduction to R programming – lecture |
15 |
|
|
15 |
E |
2 |
Introduction to R programming – laboratory classes |
|
|
45 |
45 |
P |
3 |
Molecular mechanics & dynamics, coarse-grain modeling – lecture |
30 |
|
|
30 |
E |
3 |
Molecular mechanics & dynamics, coarse-grain modeling – laboratory classes |
|
|
45 |
45 |
P |
3 |
Specialization lecture* |
30 |
|
|
30 |
P |
3 |
Graduate laboratory* |
|
|
180 |
180 |
P |
12 |
Facultative course I |
|
|
30 |
30 |
P |
2 |
Facultative course II |
|
30 |
|
30 |
P |
2 |
SEMESTER 2 |
75 |
30 |
300 |
405 |
2 |
30 |
YEAR I |
160 |
155 |
435 |
750 |
5 |
60 |
SEMESTER 3 |
||||||
subject |
lecture |
auditorium lasses |
laboratory classes |
TOTAL |
E/P |
ECTS |
Machine learning in chemistry – lecture |
30 |
|
|
30 |
E |
3 |
Machine learning in chemistry – laboratory classes |
|
|
45 |
45 |
P |
3 |
Interpersonal communication |
15 |
|
|
15 |
P |
1 |
The activities of the company in contemporary environment |
30 |
|
|
30 |
P |
2 |
MSc laboratory course* |
|
|
180 |
180 |
P |
10 |
MSc seminar |
|
30 |
|
30 |
P |
4 |
Monographic lecture* |
30 |
|
|
30 |
P |
3 |
Facultative course III |
|
|
30 |
30 |
P |
2 |
Facultative course IV |
|
30 |
|
30 |
P |
2 |
SEMESTER 3 |
105 |
60 |
255 |
420 |
1 |
30 |
SEMESTER 4 |
||||||
subject |
lecture |
auditorium lasses |
laboratory classes |
TOTAL |
E/P |
ECTS |
Economic activity law |
30 |
|
|
30 |
P |
2 |
Introduction to statistics for life sciences |
15 |
|
|
15 |
P |
1 |
|
|
30 |
30 |
P |
2 |
|
MSc laboratory course* |
|
|
190 |
190 |
P |
10 |
MSc seminar* |
|
30 |
|
30 |
P |
4 |
Monographic lecture* |
30 |
|
|
30 |
P |
3 |
Facultative course V |
|
|
30 |
30 |
P |
2 |
Facultative course VI |
|
30 |
|
30 |
P |
2 |
Elective subjects |
60 |
60 |
P |
4 |
||
MSc exam |
E |
|
||||
SEMESTER 4 |
135 |
60 |
250 |
445 |
1 |
30 |
YEAR II |
240 |
120 |
505 |
865 |
2 |
60 |
E – exam
P – pass with note
PWN – pass without note
* classes conducted at the Department, where the student is doing his master’s thesis
Second-cycle studies end with master’s examination and obtaining the professional title of master’s degree.