Laurea Magistrale

Students holding a Bachelor degree in Mathematical Engineering, or in a related area with a solid background in the core disciplines of the programme, i.e. Applied Mathematics, Computer Science, Applied Physics or other Engineering disciplines are eligible for application. In particular, eligible students must have a BSc with at least 45 ECTS credits (=25% of the overall credits) in different areas of Engineering (Informatics, Economics & Business Organization, Theory of electrical circuits, Automation, Electronics, Applied Physics, Civil Engineering), as well as with at least 60 ECTS credits (=33% of the overall credits) in different areas of Mathematics (Mathematical Analysis, Linear Algebra, Geometry, Probability, Statistics, Numerical Analysis, Optimization).

In case of admission, the study programme consists in some compulsory courses and some "optional" courses (the student decides, within a given list, which courses to attend). The Admissions Committee might indicate mandatory exams to be inserted in the study programme: more precisely, the Committee might specify which "optional" courses must be attended.
Communications about mandatory exams and the track in which the student is admitted are specified within the notification of acceptance.

Admission to the Master is based on previous University studies and on a motivation letter. It is mandatory for prospective students to indicate clearly the track they are applying for.

The Committee for Admissions makes sure that the background of the student is suitable to follow successfully the selected track.

Contact the Committee for International Admission: admissionslm-mathematicalengineering@polimi.it

The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. The programme is characterised by a continuous synergy between Applied Mathematics and Engineering disciplines. The students may choose among three tracks

• Computational Science and Computational Learning
• Statistical Learning
• Quantitative Finance

The professional opportunities offered by this course are several, for instance: engineering consultancy companies dealing with complex computational problems; manufacturing or civil engineering companies where analyses based on the use of advanced mathematical tools are needed; banks, insurance companies and financial institutions making use of quantitative finance for risk analysis or forecast; companies requiring the statistical interpretation and the processing of complex data, or the simulation of different scenarios; public and private research institutes and laboratories.

When admitted, at the beginning of the programme, students are required to submit a plan of their studies, adapted to the chosen track. Each of the three tracks consists in some compulsory courses and some optional courses, see here.  The applicant should be aware that the Committee for Admissions may require an admitted international student to take some specific optional courses, which then become compulsory. This occurs when the candidate appears to lack some required background knowledge. The total number of credits earned in the programme is 120 ECTS for all students.

In case of admission, the study programme consists in some compulsory courses and some "optional" courses (the student decides, within a given list, which courses to attend). The Admissions Committee might indicate mandatory exams to be inserted in the study programme: more precisely, the Committee might specify which "optional" courses must be attended.
Communications about mandatory exams and the track in which the student is admitted are specified within the notification of acceptance.

Eligible students must clearly specify the track they are applying for in their motivation letter choosing among Computational Science and Computational Learning, Statistical Learning, Quantitative Finance.

How to apply, deadlines and further information