Compare
There are no other study programmes for comparison
 | Loading… |
Search study programmes for comparison:
Compare
Quantitative Economics
Institutions providing this programme
Programmes with similar name
Programmes granting same qualifications
Summary of the Profile
General Description:
Objective(s) of a study programme:
The objective of the programme is to prepare high quality economists with strong modelling, statistical, mathematical and analytical skills, as well as critical thinking aimed at solving economic problems.
Learning outcomes:
1.1. Have acquired knowledge in classical and modern theories and principles of economics and finance and is able to apply them when analyzing economic problems.
1.2. Have acquired knowledge in quantitative methods and is able to competently apply them when working with different types of economic and financial data.
2.1. Appreciate the possibilities and the limits of scientific research methods when solving economic problems.
2.2. Undertake applied research that uses empirical evidence to validate economic arguments.
3.1. Apply critical thinking skills when analyzing economic problems.
3.2. Explain and interpret mathematical models describing social phenomena.
3.3. Critically evaluate economic policy in the real- world situations.
Find relevant data, evaluate its quality, conduct statistical analysis using modern software packages and prepare a final report using scientific typesetting tools.
4.1. Work as an integral part of a team, while making individual suggestions and developing communication skills.
4.2. Construct complex arguments and communicate them in a clear manner through written, graphical, and oral forms.
5.1. Expand own understanding, knowledge and skills independently and critically evaluate own accomplishments.
5.2. Organize and plan their own work independently and make decisions depending on circumstances.
Activities of teaching and learning:
The program anticipates lectures, seminars, practical training, consultations, individual work, professional internship. Lecture format does not only include traditional education methods but also methods of active teaching: collective problem teaching, methodological discussions, group work, analysis of specific problematic cases, data analysis and interpretation, etc. Seminars are conducted in small groups (up to 25 students), employing student-oriented methods: group discussion, thought provocation, preparation and presentation of reports, individual and group work.
Methods of assessment of learning achievements:
In most subjects, an accumulative score (final accumulation of work results at the end of a semester) is being used to ensure active student work and impartial study results evaluation. In applying accumulative score method (oral, written testing, presentation, case analysis, projects (individual and collective), report, discussion, critical analysis of a research article, etc.), student acquired knowledge and completed assignments throughout a semester are being evaluated. Each study subject is concluded with a final exam or final test. Exam are performed either in written or
written/oral form. Student knowledge is evaluated on the scale of 1-10 (1- very poor, 10-excellent).
Framework:
Study subjects (modules), practical training:
Program includes: 180 credits.
145 ECTS compulsory courses are:
Economic Principles 1 (15 ECTS)
Mathematical methods 1 (5 ECTS)
Statistical Theory 1 (5 ECTS)
Economic Principles 2 (15 ECTS)
Mathematical methods 2 (5 ECTS)
Statistical Theory 2 (5 ECTS)
Economic Theory 1 (15 ECTS)
Econometric Theory and Practice 1 (5 ECTS) Finance 1 (5 ECTS)
Economic Theory 2 (15 ECTS)
Econometric Theory and Practice 2 (5 ECTS) Finance 2 (5 ECTS)
Applied microeconomics (5 ECTS) Applied macroeconomics (5 ECTS) Applied finance (5 ECTS) Internship (15 ECTS)
Bachelor‘s Thesis (15 ECTS)
General university-level courses studied throughout 1-2 semesters, total of 10 ECTS.
25 ECTS specialization courses must be chosen from:
Comparative Economics (5 ECTS) History of Economic Thought (5 ECTS)
Behavioral and Experimental Economics (5 ECTS) Further Quantitative Methods (5 ECTS) International Finance (5 ECTS)
Labor Economics (5 ECTS) Industrial Organization (5 ECTS) Panel Data Econometrics (5 ECTS) Big Data Analytics (5 ECTS)
Time Series Analysis (5 ECTS) Financial Markets (5 ECTS) International Macroeconomics (5 ECTS)
Distinctive features of a study programme:
Created in collaboration with the Bank of Lithuania, the English-taught bachelor‘s programme in Quantitative Economics offers a unique blend of contemporary economic curriculum and quantitative methods. Designed using best practices from top universities, the programme will enable students to analyze economic processes in a quantitative manner, providing them with a set of highly valuable skills. Graduates will be able to continue their studies in internationally competitive master’s programmes, choose a career in data analytics in any business sector, or become analysts in financial or public sector, and international organizations.
Access to professional activity or further study:
Access to professional activity:
Career opportunities for graduate students are going to be broad. Quantitative methods will allow graduates to choose careers in the sectors of economic and financial analysis, as well as data analytics, which can valuable for all sorts of businesses.
In addition, graduates will be able to work as forecaster of different social phenomena, statisticians, market or industry researchers, data researchers, financial asset managers and investment fund managers, corporate and public consultants, economic policy evaluators, financial and economic analysts in commercial banks or other similar financial institutions, economists at central banks or other public or international institutions.
Access to further study:
Graduates will be able to continue their graduate studies in all fields of economics. In addition, they can enter graduate programmes of quantitative sociology, quantitative marketing or any other analytical management programme, also applied mathemathics and statistics, econometrics, big data analytics, etc.
