|Modes and duration
Full time: 2 years
No tuition fee for the applicants who pass the selection process
Open: April 24, 2016
Close: July 16, 2017
|Language of instruction
Successful candidates must know:
1. Linear algebra
3. Differential equations
4. Basic probability
6. General Physics (mechanics, electro-magnetism, thermodynamics)Bachelor Degree in Mathematics, Computer Science or Physics, or Bachelor Degree in Engineering (Electric or Mechanical).
|English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The concept behind this program is to combine optimization, computer science, complex systems, statistical physics, control theory, and energy system engineering to develop innovative approaches to new and challenging programs in the design, optimization, and control of the electrical grid, natural gas networks and other complex engineered networks.
The aim of the program is to prepare the science and technology leaders in emerging energy system research. The objective of the MSc program in Energy Systems Science and Engineering is to bridge the gap between industry driven problems in optimization, control and planning of energy networks and other engineered networks and respective fundamental science and cutting edge computational techniques and algorithms.
The curriculum of the program contains a unique combination of advanced mathematical and computational methods together with applications oriented in-depth teaching of energy systems engineering and physics.
A successful graduate of the program will know:
1. Engineering foundations and modern mathematical analysis of real-life problems which arise in energy systems/networks;
2. How to extract from practical, engineering reality mathematically-sound and physics-sensible problems relevant to energy systems/networks;
3. How to analyze and solve the aforementioned problems using the state of the art techniques from applied statistics, physics and mathematics, convex optimization, optimal control and related areas;
4. Methodology of academic research in energy systems and its industry applications.
A successful graduate of the program will be able to:
1. Formulate/model real-world problems using the language of modern theoretical engineering;
2. Use the most appropriate modern mathematical/computational/software tools to successfully solve engineering problem in energy systems and related disciplines;
3. Develop new mathematical/computational methods or adapt existing methods to solve a particular engineering/networking problem;
4. Implement algorithms into efficient/scalable and reliable software;
5. Work with technical literature (e.g. conduct bibliographical research, read and critically analyze scientific articles, use scientific metrics and important databases);
6. Present results to different audiences (engineers, industry, researchers, users, stakeholders, etc) in an effective oral and written manner.
Career opportunities and paths
The MSc program was developed to meet the high demand for specialists combining strong backgrounds in mathematics, computer science with practical knowledge and understanding of energy systems. Graduates of the program may begin an international research career or work with our industrial partners (possibly starting during the period of study).
The courses within this MSc program are developed and delivered by instructors with a broad international experience in academic and industrial research and development.
The graduates significantly enhance their future employability by combining knowledge of engineering reality and physics intuition with strong command of related mathematics and algorithms. Acquiring simultaneously practical, theoretical and computations skills will allow our students to “warm start” carriers in academy, industry or entrepreneurship by the program completion.
Courses within this MSc program and industrial experience combined into a unique MSc program. Thus, students gain is the opportunity to obtain early access to the national and international research, industrial and innovation landscapes enables both national and international employment with confidence.
Students are actively involved in research from the very beginning of their studies.
Main research areas:
1. Network Optimization and Optimal Transportation in Energy Grids;
2. Robust Optimization, Control and Planning of Gas/Electricity/Heating Networks;
3. Predictive Modelling and Emergency Control in Energy Grids;
4. Applied Statistics for Energy Storage Maintenance;
5. Practically Motivated Theoretical Study of Graphical Models, Convex Optimization and other Statistical Methods emerging in the context of Energy Systems/Networks.