Study programme title in Est.
Rakendusfüüsika ja andmeteadus
Study programme title in Engl.
Applied Physics and Data Science
TalTech study programme code
LAFM23
MER study programme code
238602
Study programme version code
LAFM23/26
Faculty / college
L - School of Science
Head of study programme/study programme manager
Raavo Josepson
Language of instruction
Estonian
Self-paid study programme
no
Nominal study period
4 semesters
Study programme group
Physical Sciences
Broad area of study
Natural Sciences, Mathematics and Statistics
Study field
Physical science
Access conditions
Bachelor degree or education of corresponding qualification in accordance with admission requirements of TalTech.
Study programme aims and objectives
The aims of the study program are:
- to train internationally competitive master’s level experts who can work in different research and development institutions,
companies and services whose main activities are related to physics, mathematics and/or data science, and/or continue with his/her studies on doctoral level;
- to give an immediate research and development experience through internship, research projects and graduation thesis;
-to create basis for lifelong learning by educating and shaping the students’ value systems appropriately. Show more... Learning outcomes of the study programme
The student who has graduated from the program:
- has a systematic knowledge of natural sciences;
- is able to recognize and formulate problems in his/her specialty and choose suitable methods for solving those problems;
- has a science-based way of thinking, knows the main developments in his/her specialty and its topical problems, understands and creates interdisciplinary connections;
- has a qualification for working as a specialist in positions related to mathematics, physics and/or data science;
- has teamwork skills;
- is able to continue with his/her studies at doctoral level and/or participate in research and development activities. Show more... Graduation requirements
Completion of the curriculum in the required amount, and the successful defense of the graduation paper in conformity with the requirements set by the TalTech Senate.
In order to obtain cum laude diploma the graduation paper must be defended for the grade "5" and the weighted average grade must be at least 4,60, where all grades from diploma supplement are taken into account. Show more... Degrees conferred
Master of Science
Study programme version structure :
Module type
total ECTS credits
+
MAIN SPECIALITY 1: Applied Physics and Data Science
+
MODULE: Python 6.0 ECTS credits (General studies)
Aims
The aim of the module is to provide students with the programming skills necessary for their further studies.
Learning outcomes
After completing this module, the student uses Python to solve various problems.
Compulsory courses:
Course title
Course code
ECTS credits
Hours per week
Lectures
Practices
Exercises
E/P-F.Ass./ Gr.Ass.
Teaching semester
YFX1550
6.0
4.0
1.0
3.0
0.0
E
S
+
MODULE: Data Science 24.0 ECTS credits (Core studies)
Aims
The aim of the module is to provide the skills for applying data science methods to solve problems.
Learning outcomes
After completing this module, the student uses methods of data science to solve problems.
Compulsory courses:
Course title
Course code
ECTS credits
Hours per week
Lectures
Practices
Exercises
E/P-F.Ass./ Gr.Ass.
Teaching semester
ITI8565
6.0
4.0
2.0
2.0
0.0
E
K
YFX1510
6.0
4.0
2.5
0.0
1.5
E
K
YFX1570
3.0
2.0
2.0
0.0
0.0
E
S
YMX8180
6.0
4.0
2.0
0.0
2.0
E
K
YMX8200
3.0
2.0
1.0
0.0
1.0
E
SK
+
MODULE: Physics and Mathematics 21.0 ECTS credits (Core studies)
Aims
The aim of this module is to give knowledge in physics and mathematics,
a prerequisite for further specialized studies; to develop self-study skills and capability of making connections between theoretical knowledge and practical tasks. Show more... Learning outcomes
After completing this module, the student uses higher mathematics to solve mathematical and physical problems.
Compulsory courses:
Course title
Course code
ECTS credits
Hours per week
Lectures
Practices
Exercises
E/P-F.Ass./ Gr.Ass.
Teaching semester
YFX1500
6.0
4.0
2.0
0.0
2.0
E
S
YFX1560
3.0
2.0
1.0
0.0
1.0
E
SK
YMX8140
6.0
4.0
2.0
0.0
2.0
E
S
YMX8190
6.0
4.0
2.0
0.0
2.0
E
SK
+
MODULE: Applied Physics and Data Science 39.0 ECTS credits (Special studies)
Aims
The aim of this module is to develop skills and knowledge in physics,
mathematics and/or data science in the field of specialty. Show more... Learning outcomes
After completing this module, the student uses skills and knowledge in physics,
mathematics and/or data science necessary for working in the field of his/her specialization. Show more... Compulsory courses:
Course title
Course code
ECTS credits
Hours per week
Lectures
Practices
Exercises
E/P-F.Ass./ Gr.Ass.
Teaching semester
LTX1000
6.0
4.0
2.0
0.0
2.0
A
SK
Elective courses:
Course title
Course code
ECTS credits
Hours per week
Lectures
Practices
Exercises
E/P-F.Ass./ Gr.Ass.
Teaching semester
LKG0070
6.0
4.0
1.0
0.0
3.0
H
K
MMJ5280
6.0
4.0
1.0
0.0
3.0
H
S
NSO8062
6.0
4.0
1.0
2.0
1.0
E
K
NSO8071
6.0
4.0
3.0
0.0
1.0
E
S
YFX1100
6.0
4.0
2.0
0.0
2.0
E
S
YFX1120
6.0
4.0
2.0
0.0
2.0
E
S
YFX1140
6.0
4.0
3.0
0.0
1.0
E
SK
YFX1150
6.0
4.0
2.0
0.0
2.0
E
K
YFX1160
6.0
4.0
3.0
0.0
1.0
E
SK
YFX1170
3.0
2.0
0.5
1.5
0.0
A
S
YFX1190
3.0
2.0
1.0
1.0
0.0
E
K
YFX1580
6.0
4.0
2.0
0.0
2.0
E
S
Total: at least 33.0 ECTS credits
+
MODULE: Free Choice Studies 6.0 ECTS credits (Free choice courses)
Aims
The aim of the free-choice module is to let the student choose study topics according to his/her personal interests and/or specialization.
Learning outcomes
After completing this module, the student has deeper knowledge in the field of his/her specialty or personal interest.
+
MODULE: Master Thesis 24.0 ECTS credits (Graduation thesis)
Aims
The graduation thesis is independent research, where the topic
or methods are related to the fields covered in the core or special studies of the Applied Physics and Data Science programme. Master Thesis expresses the level of knowledge in subjects of curricula, ability of individual work, ability to work with scientific literature and other sources of information, ability to express own thoughts, and also to see connections with practice. Show more... Learning outcomes
A student who has defended their Master thesis:
- presents their knowledge logically;
- works independently;
- independently poses problems connected with their field of study and finds solutions to them;
- works with scientific literature and monographs;
- finds a way in modern society and positions the role of their field of study in it. Show more...
+
STANDARD STUDY PLAN: Autumn daytime study
