Study programme code

MLMB.DT

Head of study programme

Anna Šeletski

MER study programme code

1603

Study programme version code

MLMB/14.DT

School / college

DT - School of Digital Technologies

Study programme title in Est.

Matemaatika, majandusmatemaatika ja andmeanalüüs

study programme title in Engl.

Mathematics, Mathematical Economics and Data Analysis

Language of instruction

Estonian

Study level

Bachelor's studies

Study domain

en: Loodusteadused, matemaatika ja statistika

Study programme group

mathematics and statistics

Study programme subgroup

en: Matemaatika

Nominal study period (in semesters)

6

Access conditions

Secondary School Leaving Certificate, Certificate of Vocational Secondary Education or a corresponding qualification giving access to higher education.

Degrees conferred

loodusteaduse bakalaureus

Study programme aims and objectives

- Creating opportunities for getting broad academic and applied education in the field of mathematics.
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- Developing the competence for working on a position which requires skills of applied mathematics and data analyzing.

- Developing students’ analytical capacity, critical thinking, team work skills, readiness for applying mathematical knowledge and skills in practice, ability to use special literature and databases.

- Helping to specify the learners’ needs for further studies.

- Helping the learner to develop a readiness for continuing studies in master’s level in mathematical economics and/or data analysis.
Learning outcomes of the study programme

- has systematic knowledge in mathematics, mathematical economics and/or data analysis show more...

- is able to apply theoretical knowledge and software tools for describing, modelling, simulating and analyzing real life situations

- has knowledge of more essential software solutions (inc. databases) and methods (inc. data analysis methods) applied in mathematics

- has knowledge of professional and ethical requirements for a mathematician

- knows Estonian and English terminology of one´s speciality, is able to communicate mathematical knowledge to non-mathematicians and to consider mathematical knowledge in a wider cultural context

- is able to use methods for self-studying, to plan one’s own career and to continue studies in master’s level
Graduation requirements

In order to graduate, the student shall complete the study programme in the given volume, show more...

which includes passing all compulsory courses and compiling and defending the Bachelor’s thesis. Students who have not graduated from upper secondary schools where Estonian is the language of instruction, or who have graduated from schools where Estonian is only partly the language of instruction, are required to have Estonian language proficiency at C1 level.
Study programme version structure:

Module type

total ECTS credits

+

MAIN SPECIALITY: Mathematics

+

MINOR FIELD OF STUDY MODULE: Mathematics
Aims

- minor provides basic knowledge to teach mathematics as the show more...

second subject in lower secondary school
Learning outcomes

- basic knowledge in higher mathematics

- understanding of main concepts and methods of mathematics
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Compulsory courses:

Course title

Course code

ECTS credits

approximate amount of contact lessons

Ex./P-F

Teaching semester

Elective courses:

Course title

Course code

ECTS credits

approximate amount of contact lessons

Ex./P-F

Teaching semester

Total: at least 36.0 ECTS credits

+

MINOR FIELD OF STUDY MODULE: Mathematics for Economics
Aims

- to form knowledge about the theoretical bases of economical applications of mathematics
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- to facilitate the ability to apply mathematical methods in solving economical and financial problems.

Learning outcomes

- knowledge about economical applications of mathematics

- ability to apply mathematical methods to solve financial and economical problems.
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Compulsory courses:

Course title

Course code

ECTS credits

approximate amount of contact lessons

Ex./P-F

Teaching semester