Branch Details

Company Management and Economics

FPAbbreviation: DSP-ŘEP-KSEAcad. year: 2019/2020

Programme: Economics and Management

Length of Study: 4 years

Tuition Fees: 2000 EUR/academic year for EU students, 9000 EUR/academic year for non-EU students

Accredited from: Accredited until: 1.11.2019

Profile

Doctoral education provides to the graduates with Master's degree in the field of company management and economics higher level of education deepening theoretical knowledge.
The aim of doctoral study branch is to teach methods of scientific work.

Key learning outcomes

A graduate of doctoral study is capable of independent scientific, research and directive work.
He is ready to tackle challenging conceptual, research and development problems in management and economics. He is able to carry out research, development and production independently in practice.
Graduate can find fulfilment as a creative worker at leading research centers, as a leader of research and development teams, as a research worker and teacher at universities. Graduates of this program may also occupy high positions in some of the larger institutions and companies that require the ability to work creatively and independently, to analyze complex problems and propose a new and original solutions.

Occupational profiles of graduates with examples

Graduates can find fulfilment as academic worker at economically oriented faculties, as a research worker in research organizations focused on economic and business research. Graduates will be able to focus on the economics of enterprise in all its contexts, a top company management, executive management, marketing, logistics in accordance with the approved program and course.

Entry requirements

Listed below are the minimum admission requirements:
" an appropriate Master's degree
" submission of an essay on the applicant's expected thesis topic,
" an approval by the expected supervisor,
" the passing of an entry exam,
" knowledge of the English or German language at level B1 or higher.

Guarantor

Issued topics of Doctoral Study Program

  1. Business valuation in selected business branch

    Approaches to firms’ valuation based on the estimation of the future firms’ cash flow are very sensitive to parameters of business branch. The aim of the thesis is to identificate the specifics of the chosen branch and incorporate them into the valuation models.

    Tutor: Režňáková Mária, prof. Ing., CSc.

  2. Digital Mindset as a Tool for Successful Driving Force of Transformation Process

    Digital mindset is not just about using technology as such. The main aim of the dissertation will be to understand the content of Digital Mindset which enables to understand the power of technology and to speed up every form of interaction. An individual with a "digital mindset" plays a key role in transformation processes in the era of digitalization

    Tutor: Konečná Zdeňka, doc. Ing., Ph.D.

  3. Digital Mindset as a Tool for Successful Driving Force of Transformation Process

    Digital mindset is not just about using technology as such. The main aim of the dissertation will be to understand the content of Digital Mindset which enables to understand the power of technology and to speed up every form of interaction. An individual with a "digital mindset" plays a key role in transformation processes in the era of digitalization

    Tutor: Konečná Zdeňka, doc. Ing., Ph.D.

  4. Investment Valuation (Selected Issues)

    The topic of doctoral dissertation can be focused on any aspects of valuation of investments in different asset classes (equity, real estate, debt securities). Theoretically and practically, investment in alternative asset classes (art, collectors' items, precious metals, hedge funds, venture capital investments, etc.) can be analyzed

    Tutor: Krabec Tomáš, doc. Ing., Ph.D., MBA

  5. Macroeconomic and Institutional Determinants of Interdependence among Venture Capital Markets of Visegrad Countries

    The dissertation aims to investigate interdependences among most important European venture capital markets and the markets of Visegrad countries. The identification of linkages among markets, analysis of changes in the strength of these dependencies is necessary for effective macroeconomic and institutional governance

    Tutor: Zinecker Marek, doc. Ing., Ph.D.

  6. Managerial Conditions for the introduction of automation in industrial production

    Analysis of selected industrial enterprises, their innovation activities and design of the company management model for P 4.0.

    Tutor: Putnová Anna, doc. RNDr., Ph.D., MBA

  7. Marketing Management of the Companies based on the Sustainability

    Nowadays company behaviour on the target markets seems to be more and more influenced by area of the sustainable development concept. Thesis should be oriented to the newest theoretical knowledge of this area in marketing management framework of business entrepreneurship. The aim is to develop practicable approaches to the area of the “green” marketing

    Tutor: Šimberová Iveta, doc. PhDr., Ph.D.

  8. Quantitative Methods in Managerial Decision Making

    The research will focus on the analysis of current state of quantitative approach application in company management and on the design of models which are used as a tool for support of managerial decision-making

    Tutor: Doskočil Radek, doc. Ing., Ph.D., MSc

  9. Selection of the corporate policies in accordance with IFRS and its impact on the relevance of the accounting information

    Apart from the standard treatment of accounting transactions, the IFRS provides for allowed alternative treatments and application of the professional judgment. The thesis is focused on the selection patterns used by the enterprises and their impact on the relevance of the accounting

    Tutor: Tumpach Miloš, prof. Ing., Ph.D.

  10. The Use of Soft Computing as a Support for Decision Making Processes in Business Managemet

    The use of soft computing and its applications as a support for decision making processes in business management to increase the quality and speed of decision

    Tutor: Dostál Petr, prof. Ing., CSc.


Course structure diagram with ECTS credits

1. year of study, winter semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
mvpDEMethodology of Scientific Worken0CompulsoryDrExS - 20yes
1. year of study, both semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
merDEModern Methods in Economic Decision-makingen0CompulsoryDrExS - 20yes
tevDETheory of Economic Sciencesen0CompulsoryDrExS - 20 / S - 20yes
tevDETheory of Economic Sciencesen0CompulsoryDrExS - 20 / S - 20yes
2. year of study, both semester
AbbreviationTitleL.Cr.Com.Compl.Hr. rangeGr.Op.
RtmDETheory of Managementen0CompulsoryDrExS - 20 / S - 20yes
RtmDETheory of Managementen0CompulsoryDrExS - 20 / S - 20yes
RplsDEProduction and Logistic Systemsen0Compulsory-optionalDrExS - 20 / S - 201yes
RplsDEProduction and Logistic Systemsen0Compulsory-optionalDrExS - 20 / S - 201yes
RtmarDETheory of Marketingen0Compulsory-optionalDrExS - 20 / S - 201yes
RtmarDETheory of Marketingen0Compulsory-optionalDrExS - 20 / S - 201yes
All the groups of optional courses
Gr. Number of courses Courses
1 1 RplsDE, RtmarDE
1 1 RplsDE, RtmarDE