The follow-up Logistics Analytics Master's Degree Program aims to extend the basic mathematical knowledge towards the tasks typically dealt with in logistics and to acquire basic knowledge of transport and operation management necessary for their further application in logistics.The structure of the compulsory courses will enable students to learn how to combine modern methods of applied mathematics, to gain knowledge of the ready-made software solutions and to master the basic programming skills enabling students to handle real logistics challenges with regard to the specifics of individual transport tasks and the company's operation processes. The curriculum of the program embraces compulsory courses focused on mathematics, computer science, transport and management. Students may choose to further extend their knowledge gained in these courses by studying more specific transport tasks or programming techniques of their choice within the compulsory/elective courses or elective courses. The aim of the study is to prepare the students for challenges and problems of current logistics chains and for work in international companies, which will also be facilitated by intensive use of English language during the two years of study of the program.
The proposed program dives into mathematical methods presented in a format close to mathematical disciplines and thus places high emphasis on precise analytical thinking, ability to formulate a problem and combinatorially describe possible solutions. In connection with in-depth expertise in programming techniques, the goal for the student is to achieve a unique mix of knowledge necessary for a comprehensive approach to solving logistics issues ranging from the assignment of a problem of an industrial enterprise to the design of an optimal solution, including the software implementation itself or identification of an existing software tool. In this sense, there exists no adequate alternative to this study program in the Czech Republic.

Graduate profile

Graduates of the Logistics Analytics Program demonstrate high expertise in applied mathematics, logistics, and programming required to analyze logistics chains and solve complex logistics tasks from the quantitative perspective. Graduates have gained a broad overview of the methods of applied mathematics, more precisely of linear algebra, mathematical analysis, game theory, graphs, and dynamic and multilevel mathematical programming. At the same time, they have acquired knowledge of probability and statistics enabling them to solve a diverse profile of stochastic tasks and to analyze data that they may encounter in their future jobs. Furthermore, graduates are acquainted with the field of algorithmization of transport planning on real road networks.

Graduates are able to effectively apply their knowledge of various logistics tasks on real cases and data. Thanks to the above-standard mathematical basis, graduates are able to tackle logistical and optimization challenges of both theoretical and practical nature. Professional skills enable graduates to algorithmize the mastered methods and to implement and analyze the outputs. These skills are supplemented by presentation techniques necessary for communicating their own solution proposals and results that graduates will obtain during the semester projects covering various subjects. Graduates are able to create mathematical models of logistics issues and solve them using graph theory and optimization methods.

Graduates are able to analyze logistics data, set up and optimize logistics processes, and create algorithms and backend software solutions, especially in the area of transportation and supply chains. Graduates are qualified and linguistically equipped experts in optimization of the concurrence of operation and transport processes.

Profession characteristics

Typical positions that graduates of the study program can apply for are:
- Logistics Specialist,
- Transport Coordinator,
- Logistics Process Analyst,
- Logistics Analyst
However, these are only positions that correspond exactly to the majority content of the presented program. Graduates can find work in positions that focus mainly on searching for potential savings in the field of supply chains, performing software-assisted analyses and evaluation of logistics data and processes, as well as identifying weak points in transport chains, creating various optimization scenarios and presenting the final management concept to customers. Thanks to their robust mathematical knowledge, advanced critical thinking, sound presentation techniques, language and programming skills, the graduates will be able to find work in much wider range of professions. The second year of study will be held in Norway in the form of weekly seminars focusing on development of teamwork skills in an international team, which is a basic prerequisite for employment in multinational logistics companies. Graduates' broad knowledge in the fields of optimization, probability, game theory, and graph theory will enable them to find employment in many other areas, such as business, banking, and finance.