The study programme is oriented to various applications of mathematics, creativeness, enhanced preparation in the field of computer science and high quality of studies. By using the theory of mathematics, calculation algorithms, modelling methods, and computers, the students of Applied Mathematics solve the practical tasks of economics, computer science, engineering, medicine, insurance, business, and other fields.
Faculty of Mathematics and Natural Sciences
|Study mode and duration||Full-time studies - 4 y. (Day-time), Part-time studies - 6 y. (Day-time)|
|Degree awarded||Bachelor of Mathematical Sciences|
Data Analysis and Security,
Mathematical Methods for Financial Technologies
The study programme is oriented to the application of mathematics in various fields (finance, marketing, economics, computer science, materials and nano-technologies, physics, etc.), creativeness, and strong preparation in the field of computer science.
By working in companies, the graduates participate in the creation of new products and software, analyse the data of a company’s operating processes, and solve the tasks related to forecasting and optimum control.
According to the forecasts of the labour market research agency, the demand for specialists, having deep knowledge of mathematics and analytical skills, as well as able to apply them in the development of practical skills will increase about 15-20% by 2022.
SAS, SPSS, Matlab, Mathcad, and R are known as the best software packages for system modelling, analysis, optimization, and forecasting of the tasks solution. The students of this programme will solve actual tasks of application in mathematics by using this software.
Abstract nature of the objects of mathematics and universal preparation opens wide career opportunities in various fields. Having completed the studies, the graduates work as system analysts, modelling and data analysis specialists, analysts-programmers, specialists of investigation of operations, logistics analysts, insurance and finance mathematicians in divisions of modelling, design, information analysis of various companies and institutions, insurance companies, banks.
|Mathematical modelling and investigation of business systems||Data analysis and decision making||Evaluation, forecasting, and optimisation of the risk of technical and business systems||Creation of mathematical models, algorithms and software for intelligent systems|
A student who chooses BA+ competence, acquires the knowledge and skills in an additional study field, and discovers new career prospects.
BA+ competence blocks offered in KTU Bachelor’s study programmes can be an alternative study plan for:
Acquisition of the competence is certified by the issue of KTU certificate and entry in the diploma supplement.
Work in a consortium of companies requires a creative and qualified team that helps to achieve the pursued goals. There are graduates of KTU Applied Mathematics study programme among our employees who are characterised by educated analytical thinking, good optimisation, forecasting, business risk, data analysis knowledge, who have deep skills in information technologies and are able to adapt quickly according to the varying business conditions. Since we formulate many and various tasks to our employees in their everyday activities, the employees with a wider education are more perspective.
The studies of Applied Mathematics provide strong career foundation for graduates. It allowed me to climb the career ladder, seek professional improvement, provided me with trust and a wish to move forward. The programme provided a wide freedom of choice – in addition to the mandatory objects, there was an opportunity to get deeper into other fields, for example, economics or insurance mathematics. Everyone can find his/her niche to improve and be pleased with his/her results. I greatly benefited from the thinking formed in the university, the ability to analyse the situation and find the optimum solution.
– Computer modelling and research of business systems
– Data analysis and decision-making
– Risk assessment, forecasting and optimisation in technical and business systems
– Development of mathematical models, algorithms and software for smart systems
– Able to create and substantiate mathematical models for real work objects (phenomena, situations, processes), critically analyse, compare and assess the results of modelling
– Able to select and apply appropriate mathematical methods for solving of real problems and required for research of the links between various characteristics of the analysed objects
– Able to select appropriate analysis methods for research data, interpret analysis results, summarise and substantiate conclusions
– Able to assess the possibilities of use of the main optimisation methods, apply those methods in practice, interpret optimisation results, assess errors, make optimal decisions, make reasoned conclusions
– Able to create algorithms and software for realisation of models and work with databases
– Able to work in the interdisciplinary team, generate new ideas, integrate knowledge, critically assess information, personal performance results, professional innovations, participate in discussion and improve his/her performance
|– Application of mathematical principles, models and methods for performance of the tasks of engineering, living or inanimate nature, social sciences;|
|– Application of mathematical, statistical, probability and risk theory for assessment of a possible financial impact of future events;|
|– Assessment and forecasting of probabilistic insurance events (for example, insured damage, payback) applying statistical models with consideration of the risks and economic situation;|
|– Planning and organisation of statistical data analysis selecting a required analysis model, analysed group, performing statistical analysis of mortality, disability and similar data|
|– Collection, management and analysis of statistical or insurance data obtained from common or special information sources;|
|– Consultations on the issues of data collection, processing and analysis, verification of the reliability of results.|
|– Preparation of financial documents, calculation of interests, commissions and stamp duties.|
|– Research of securities, currency (financial) markets, provision of competent advices and recommendations when making decisions regarding business and organisation’s performance;|
|– Analysis of financial performance reports (of companies, governments and other organisations), assessment of risk, transactions, financial indicators of the organisation’s performance;|
|– Monitoring of economics, industrial and business changes, forecasts, insights of trends, analysis of financial information.|
|– Collection of information about investments made or financial situation;|
|– Application of statistical methods in forecasts of the prices of securities|
|– Analysis of the inclinations of securities, shares, bonds and other financial instruments, including foreign currency market.|
|– Analysis of customers’ operational processes and needs|
|– Design of information systems and preparation of technical tasks|
|– Preparation of specifications for the system requirements|
|– Coordination and linking of computer systems at the organisation for compatibility, mediation between programmers, testers and customers|
|– Analysis of customer’s needs and preparation of reports|
|– Aggregation and processing of data using specialised technical tools|
|– Optimisation of data administration process|
|– Quality control in data|
IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent
Maximum 3 years after high school graduation 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.
IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent
Minimum average grade (CGPA) > 60 % in each entry subject.
|Foreign nationals with Lithuanian origins and EU citizens|
|Full-time studies||2037 €|
|Part-time studies||1358 €|
|Price per credit||33,95 €|