Applied Mathematics

The aim of Applied Mathematics Master’s degree study programme is to prepare broadly educated creative mathematics specialists who have relevant knowledge of mathematics and its application and would be able to study, model and responsibly apply knowledge independently in new situations and would be able to be competent partners in joint projects with the specialists of other fields.

Entry requirements
Code 6211AX006
Location Kaunas
Faculty of Mathematics and Natural Sciences
Cycle Second cycle
Field Applied Mathematics
Language Lithuanian
Study mode and duration Full-time studies - 2 y.
Degree awarded Master of Mathematical Sciences
  • Lund University (Sweden)
  • Brno University of Technology (Czech Republic)
  • University of Southern Denmark (Denmark)
  • Budapest University of Technology and Economics (Hungary)
  • University of Helsinki (Finland)
 

Values

Studies

International recognition of programme

A few years ago, the international experts evaluated KTU Master’s degree study programme of Applied Mathematics as unique and attractive not only in Lithuania, but also abroad. The future Masters of Applied Mathematics are studying general subjects and choosing subjects from two groups of modules i.e. finances mathematics, data mining subjects, and optional advanced level subjects of mathematics.

Demand on the labour market

Steadily increasing demand for the specialists of Applied Mathematics

The need for creation and application of mathematical models in various fields of industry, biomedicine, and economics has recently shown a considerable increase. According to the forecasts, after five – ten years such specialists will be demanded throughout the world.

Career

The salaries are the highest on the market

The graduates can work as system analysts, market researchers, analysts-programmers, modelling, and data analysis specialists in modelling, design, information analysis divisions of various companies and institutions, insurance companies, banks, stock exchange markets. Since the aforementioned works are closely related to information technologies, the wages are and will remain one of the highest in Lithuania.

Internship and empoyment

The students have an opportunity for internship and later to be employed in world-known companies

Many graduates from this study programme are working in such companies as “Swedbank Life Insurance SE”, “Mondelez Lietuva Production”, “Barclays Technology Centre Lithuania”, “Callcredit Information Group”, “Softera Baltic”, Vičiūnai Group, and other.

Colleagues

This study programme attracts active and motivated students

The students who demonstrate high academic results are studying in this programme. Good motivation of students determines a creative and results-oriented environment of the studies that helps to assimilate necessary knowledge and skills.

 

Skills

Data analysis – statistics and data receipt methods, models, forecasting, making of decisions
Mathematical finance – models of financial markets, insurance mathematics models, time series analysis
Optimization methods – optimization of systems and processes
Modelling of systems – modelling of bio-systems, financial, cryptographic, business, vibrotechnical systems
Modelling and analysis of financial markets Data mining and analysis methods Optimisation of the functioning of systems

Master+ is a unique model within a chosen MSc programme

The Master+ model offers either to masterpiece in the chosen discipline by choosing the Field Expert track or to strengthen the interdisciplinary skills in addition to the main discipline by choosing the Interdisciplinary Expert track providing a choice of a different competence to compliment the chosen discipline and achieve a competitive advantage in one’s career.

Students of these study programmes can choose between the path of Field Expert and Interdisciplinary Expert. Selection is made in the academic information system. Each path (competence) consists of three subjects (18 credits) allocated as follows: 1 year 1 semester (autumn) – first subject (6 credits), 1 year 2 semester (spring) – second subject (6 credits), 2 year 3 semester – third subject (6 credits). A student, who chooses a path of the Field Expert, deepens knowledge and strengthens skills in the main field of studies. The one, who chooses a path of the Interdisciplinary Expert, acquires knowledge and skills in a different area or field of studies. Competence provides a choice of alternative additional subjects.

  • Field Expert (profound knowledge and skills in the area, required for solution of scientific research tasks);
  • Interdisciplinary Expert:
    (fields of different knowledge and skills are combined for solution of specific tasks);

Acquisition of the competence is certified by the issue of KTU certificate and entry in the appendix to the Master’s diploma. In addition, students can acquire an international certificate (details are provided next to each competence).

Competences are implemented by KTU lecturers – experts in their area – and high level business and public sector organizations; their employees deliver lectures, submit topics for the student’s theses, placement-oriented tasks for the projects, etc.

Testimonials

Tomas Bagdonavičius

Head of Business Planning and Analysis at Vičiūnai Group, the Member of Kaunas City Council

 

The university formed me as a person, whereas the acquired education provided me wings for the professional flight. I am grateful to my Alma Mater for the educated skills, i.e. to analyse, model, forecast, optimise, have my personal opinion and reason it, as well as to develop a deeper perspective on life. I think that the university education is a great value to a modern person who can adapt in an ever-improving world.

Career

Student’s competences

– Modelling and analysis of financial markets
– Knowledge of data mining and analysis methods
– Optimisation of the functioning of systems

Student’s skills

– Able to find, select and understand scientific mathematics literature and use knowledge of scientific research in solving of the tasks of real world modelling
– Able to see modelling possibilities and create mathematical models for problem solutions in technologies, finances, economics, social and other fields of science, substantiate their suitability
– Able to apply modern statistical analysis methods for multi-dimensional data in analysis and modelling of real systems
– Able to apply financial and insurance mathematics theory for modelling and analysis of markets
– Able to apply formal analysis methods of information technologies in research of deterministic and stochastic systems
– Able to initiate, prepare, implement and present research projects, select optimal solutions, critically analyse, compare and assess their results, forecast, make reasoned conclusions, prepare reports
– Able to work individually and in the interdisciplinary team, generate ideas, integrate knowledge and skills, critically assess quality of personal performance and that of the others, take responsibility for the work results and their quality

 

 

You may become

 – Development of analytical tools (for extraction of data, analysis, process optimisation, process monitoring, automation)
 – Development of tools for preparation of reports
 – Provision of business insights
 – Quality management in data in information systems
 – Provision of results, performance indicators to the managers
 – Preparation of integrated data management, monitoring and analysis policies and methodologies
 – Preparation of the company’s performance reports
 – Analysis of performance results
 – Provision of business insights to the managers
 – Coordination and supervision of the work of analysts
 – Preparation of the operational plan for process management
 – Development of the company’s strategy for reduction of the possible loss
 – Performance of market analysis, analysis of damages, analysis of results, analysis of provisions
 – Planning, coordination and management of scientific research and development at the company or outsourced by other research organisations while developing new technological processes, products, knowledge or ways for use of materials, or improving the available ones
 – Planning of scientific research and development programmes of the entire company or organisation identifying objectives and budgetary needs
 – Supervision of activities of the employees responsible for scientific research and development, and its management
 – Preparation and management of budget, control of expenses and assurance of efficient use of resources
 – Publication of scientific papers in the recognised scientific publications of mathematics
 – Preparation and publication of scientific monographs in mathematics
 – Individual planning and performance of fundamental and/or applied scientific research
 – Consultations on the issues of mathematical principles, models, methods and their application for solving of various tasks of engineering, agronomy, medicine, as well as other natural or social science sand business
 – Planning, coordination and management of the activities of the division’s employees
 – Provision of consultations and assistance to the customers regarding the financial and insurance needs, as well as amendments of the legislations that can impact customers
 – Review of cash flows and financial measures, preparation of financial and regulatory reports

 

Minimum requirements

Proficiency in English
Language requirements

IELTS ≥6.0, TOEFL ≥85, CEFR ≥C1, or equivalent

Eligibility CGPA
University Bachelor degree certificate

Undergraduate diploma (or higher) with min. length of 180 ECTS (3 years of studies) is eligible.

Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

The entry qualification documents are accepted in the following languages: English / Russian.

The documents must be legalised (Apostille) by the Ministry of Foreign Affairs of the country where the documents were issued. This requirement does not apply for the documents issued in the EU and Belarus, Ukraine.

Average grade (CGPA) > 60 %

 

Score structure

Component Coefficient
First component of the competition score

Average grade (CGPA) of University‘s Bachelor’s degree (min. length – 180 ECTS) and its supplement

0,7

Second component of the competition score

Research activities

0,2

Third component of the competition score

Motivation letter and online interview

0,1

 

Tuition fee

Foreign nationals with Lithuanian origins and EU citizens
Full-time studies 2933 €
Price per credit 48,88 €

 

Financial support