Acquire the skills demanded by consulting firms, investment banks, and government agencies.
Policy-makers are often forced to make decisions under conditions of uncertainty, but the results of these decisions may directly influence a country’s overall economic performance.
While a thorough understanding of aggregate economy dynamics is necessary for success, it is not entirely sufficient. Organizations must also be knowledgeable of the many sources of aggregate risk and uncertainty, and must rely on the analytical tools available to study the aggregate economy.
Financial and consulting firms increasingly utilize complex economic theories. Students will not only learn how to use these modeling and statistical techniques, but will conduct an independent master's project to learn how to apply these new skills to real empirical work. This program covers economic models such as the dynamic stochastic general equilibrium (DSGE), vector autoregression (VAR), and autoregressive conditional heteroskedasticity (ARCH). Our graduates are prepared with an expert grasp of aggregate economy and financial function fundamentals, able to build macroeconomic and market forecasts - skills that consulting firms, investment banks, and government agencies are all in need of.
Upon successful completion of the program, students will receive a Master Degree in Specialized Economic Analysis awarded jointly with the Universitat Autònoma de Barcelona and the Universitat Pompeu Fabra. The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course), some compulsory and some elective. The students' final program must be discussed with and approved by the Master Director.
The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course), some compulsory and some elective. The students' final program must be discussed with and approved by their Master Director.
The ever-increasing importance in every engineering branch of modeling tools, i.e., virtual prototypes simulating complex physical and societal phenomena, requires a new generation of professionals able to exploit the full potential of the current simulation resources, possessing fundamentally different and innovative work proficiencies. The expertise of modeling engineers cannot be restricted to classical devices, tools, and instrumentation, but requires a deeper and systematic knowledge of the basic concepts of mathematical and numerical modeling, with a wider vision on the intimate inter-relationship between data, physical processes, and computational methods.
The Master degree in "Mathematical Engineering", offered by the University of Padova, captures the evolution of professional engineers proposing an advanced study program that combines both solid fundamental knowledge of the physical processes and deep theoretical and technological competences. This degree exposes the student to a multidisciplinary education lying between engineering and applied mathematics, providing the attendants with the ability to mold their expertise towards several specific disciplines, though still receiving a solid general-purpose engineering and modeling culture.
For this reason, the program contains both theoretical and applied research-oriented courses, with the aim of building an innovative, high-level engineer profile, characterized by a strong theoretical and scientific background on mathematical modeling tools, as well as, on general physical and financial sciences, together with advanced computational engineering expertise. The successful student will acquire advanced skills in the field of mathematical modeling of physical or financial processes, with specific interest in the formulation, validation, and critical use of models and in the fundamental interpretation of related quantitative results. The graduates in Mathematical Engineering will be able to effectively formulate complex engineering problems within a multidisciplinary framework, and transfer and discuss results with experts of different disciplines.
Please check: http://en.didattica.unipd.it/off/2017/LM/IN/IN2191
Graduates in Mathematical Engineering can find natural occupational opportunities in agencies operating in the research of innovative technological solutions and advanced design with the aid of virtual prototype systems. The development and use of computational models is attracting a growing number of applications from different technological and scientific fields, as well as in economic and financial sciences, including risk analysis, trading, and investments.
The graduates in Mathematical Engineering have the expertise profile to cover positions of high responsibility in research and development centers, consulting companies, both public and private, working in advanced technological fields of civil, environmental and industrial, engineering, information technology laboratories, financial institutions, banks, insurance companies, energy companies, or consulting firms. They are also perfectly targeted at research institutions, or the academia. Their added value is given by their training in an international and collaborative environment, as well as by a rich proficiency in English.
The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.
You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships
You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers
In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Sophisticated high-throughput techniques pose new challenges for data integration and data interpretation. The Computational Life Science (CompLife) MSc program at Jacobs University meets these challenges by covering computational, theoretical and mathematical approaches in biology and the life sciences. It is geared towards students of bioinformatics, computer science, physics, mathematics and related areas.
The CompLife program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. CompLife students at Jacobs University take a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. Core components of the program and areas of specialization include:
- Computational Systems Biology
- Computational Physics and Biophysics
- RNA Biology
- Imaging and Modeling in Medicine
- Ecological Modeling
- Theoretical Biology
- Applied Mathematics
- Numerical Methods
For more details on the CompLife curriculum, please visit the program website at http://www.jacobs-university.de/complife.
Graduates of the CompLife program are prepared for a career in biotechnology and biomedicine. Likewise, graduates of the program are qualified to move on to a PhD.
The CompLife program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.
All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.
Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do. In addition, Jacobs University offers accommodation for graduate students on or off campus.
Business Analytics is the intersection of management science and machine learning in real world applications.
It offers new potential to improve financial performance, strategic management and operational efficiency.
Business Analytics is an increasingly critical component in preparing organizations to solve 21st-century business challenges and support data driven decision making.
Our MSc Business Analytics programme is a one year, full-time programme consisting of 6 core modules, and 2 elective modules from a choice of 7 elective modules.
The core modules are conducted via lectures, tutorials, and computer laboratory sessions. Students undertake the dissertation project in Business Analytics in collaboration with one of our international industrial partners.
Graduates of the programme will have gained the necessary skills and knowledge in a range of fields, including business operation, database, statistics, informatics, data analytics, machine learning and big data technologies in real-world business contexts.
Applicants for this programme are required to have at least a second class honours in the first division or international equivalent in any discipline, including business and management, and at least 10 credits equivalent value with significant mathematical/statistical content (However, this course is not suitable for students who have previously studied a significant amount of business analytics).
Our learning environment is highly interactive and innovative with student-centred learning activities.
Other than examinations, our students will be assessed via essays writing, practical exercises, group and individual projects, and oral presentations.
The dissertation focuses on developing students’ skills in applying analytic techniques, communicating and solving the data analytics problem.
The area of business analytics is growing in financial sectors, customer services, enterprise optimization, and consumer marketing.
When our students graduate, they will be able to:
What are the potential careers of our graduates?