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
LAFM23/25
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: Enterpreneurship 6.0 ECTS credits (General studies)
Aims
The aim of this module is to create an understanding about the essence of entrepreneurship and it is processes,
the role of entrepreneur and the principles of business planning and development (incl growth) process, also about the main aspects of the activities of enterprises in the context of external business environment; to give an opportunity for students on the basis of chosen business idea to practically plan the business process, design business model and compile business plan through teamwork and interdisciplinary study, which is supporting students in their career choice of becoming entrepreneur or entrepreneurial employee. Show more... Learning outcomes
After completing this module, the student:
- explains the essence of entrepreneurship,
phases of entrepreneurship processes and business planning as well as the main activities of enterprises;
- assesses their own abilities to initiate teamwork and activate on the development of business ideas in real life and handle risks;
- assesses business opportunities and analyses them based on problems needful to solve, uncovered market nisches and development trends;
- carries out market and competition analysis originated from chosen business opportunities, compiles the general and competition strategy for planned enterprise;
- designs full marketing mix for enterprise (products/services, pricing policy, market channels and promotion activities);
- compiles report for profit, cash flows and balance prognosis and cost-benefit analysis;
- presents and justifies the feasibility of business model (business plan). Show more... Elective courses:
Course title
Course code
ECTS credits
Hours per week
Lectures
Practices
Exercises
E/P-F.Ass./ Gr.Ass.
Teaching semester
MMJ5280
6.0
4.0
1.0
0.0
3.0
H
S
TMJ3300
6.0
4.0
1.0
0.0
3.0
E
SK
Total: at least 6.0 ECTS credits
+
MODULE: Applied Physics and Data Science I 30.0 ECTS credits (Core studies)
Aims
The aim of this module is to create opportunities to get a basic knowledge in physics,
mathematics and data science, 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 partial differential equations;
- programs and solves computational problems using numerical methods;
- uses continuum mechanics. Show more... 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
YFX1500
6.0
4.0
2.0
0.0
2.0
E
S
YFX1510
6.0
4.0
2.5
0.0
1.5
E
K
YFX1550
6.0
4.0
1.0
3.0
0.0
E
S
YMX8140
6.0
4.0
2.0
0.0
2.0
E
S
+
MODULE: Applied Physics and Data Science II 27.0 ECTS credits (Special studies)
Aims
The aim of this module is to create opportunities to get knowledge in physics,
mathematics and data science necessary for working in the field of specialization. Show more... Learning outcomes
After completing this module, the student:
- models different processes;
- uses complex systems;
- analyses nonlinear systems. 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
YFX1150
6.0
4.0
2.0
0.0
2.0
E
K
YFX1560
3.0
2.0
1.0
0.0
1.0
E
SK
YFX1570
3.0
2.0
2.0
0.0
0.0
E
S
YMX8190
6.0
4.0
2.0
0.0
2.0
E
SK
YMX8200
3.0
2.0
1.0
0.0
1.0
E
SK
+
MODULE: Applied Physics and Data Science III 27.0 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... 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
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
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 27.0 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
