Applied Mathematics to Risk Management

Education objectives

To meet the growing demands of the market, this bachelor’s degree program is designed to train professionals with a solid foundation in Applied Mathematics, equipped to apply mathematical, statistical, and actuarial methodologies in areas related to Risk Management.
What sets this program apart from other academic offerings is its unique structure, which combines theory and practice in alignment with internationally recognized standards for risk analysis professionals.

Why Choose This Degree?
Faculty with extensive experience in training professionals in the field of risk, including some who hold prominent positions in leading organizations and companies
Strong relationships with companies/employers, including research projects, enabling student participation in internships and/or practical projects
High employability of our graduates in Mathematics-related fields

Career Opportunities
Risk Analyst (e.g. Insurance, Banking)
Actuary
Data Scientist (Data Analyst)
Quantitative Analyst (Quant)
Consultant
Supervision and Regulatory Specialist
Academic or REsearcheer
Other professions requiring strong quantitative and management skills.

General characterization

DGES code

1123

Cicle

Bachelor (1st Cycle)

Degree

Licenciado

Access to other programs

Access to 2nd cycle

Coordinator

Gracinda Rita Diogo Guerreiro

Opening date

September

Vacancies

22

Fees

Portuguese students: 697 euros/year

Foreign students: 7000 euros/year

Schedule

Daytime

Teaching language

Available soon

Degree pre-requisites

Duration: 3 years
Credits: 
180 ECTS

Scientific Area
Acronym ECTS
Mandatory Optional
Mathematics B 153 3
Informatics CC 6 0
Social Sciences and Humanities CHS 9 0
Transferable Skills M 3 0
Any Scientific Area QAC 0 6 (a)
TOTAL 171 9

(a) 6 ECTS in courses chosen by the student on a list approved annually by the Scientific Council of NOVA FCT, which includes the unity of all scientific areas of NOVA FCT

Conditions of admittance

Specific exams:

One of the following groups:

19 Mathematics A + 18 Portuguese or

19 Mathematics A + 04 Economics or

19 Mathematics A + 07 Physics and Chemistry

Admission formula:

50% of the final grade obtained in secondary school

50% of the final grade of the specific(s) exam(s)

Minimum grade of the specific(s) exam(s): 95

Minimum grade of the application: 95

Evaluation rules

The evaluation of all UCs is continuous for all the components that integrate it, and it must be completed by the last day of the school term of the academic semester.

The continuous evaluation of a UC must include a minimum of two elements in the set of evaluation components, on dates adequately spaced throughout the period of classes.

All UCs with a theoretical-practical evaluation component must provide, in addition, a form of evaluation of this component by exam, to be carried out after the period of classes (Examination of Appeal).

All requirements and conditions related to the evaluation of the UC, namely the minimum weights and classifications, if any, of each component, as well as the Frequency conditions, are defined a priori and, mandatorily, published in the Discipline Form.

For each UC, combinations of three evaluation components are allowed: (i) Theoretical-practical evaluation; (ii) Laboratory or project evaluation; (iii) Summative assessment.

Regulamento de Avaliação de Conhecimentos (Licenciaturas, Mestrados Integrados e Mestrados.)

Structure

1.º Semester
Code Name ECTS
12899 Linear Algebra and Analytic Geometry I 6.0
13491 Calculus I B 6.0
12901 Introduction to Logic and Discrete Mathematics 6.0
12566 Introductory Programming for Science and Engineering 6.0
12926 Computational Methods in Statistics 6.0
2.º Semester
Code Name ECTS
12904 Linear Algebra and Analytic Geometry II 6.0
12230 Financial Calculus 6.0
13495 Calculus II B 6.0
10352 Soft Skills for Science and Technology 3.0
12927 Microeconomics, Uncertainty and Information 3.0
13505 Probability Theory and Applications 6.0
3.º Semester
Code Name ECTS
5005 Mathematical Analysis III B 6.0
12907 Numerical Analysis 6.0
13506 Statistical Inference and Applications 6.0
12928 Principles of Macroeconomics 3.0
13520 Statistics and Information Systems 6.0
12512 Society, Sustainability and Digital Transformation 3.0
4.º Semester
Code Name ECTS
12908 Numerical Analysis and Optimization 6.0
5006 Mathematical Analysis IV B 6.0
12909 Linear Models in Statistics 6.0
10983 Linear Optimization 6.0
4.º Semester - Opção I
Code Name ECTS
Options
10361 Operational Research (Engineering Courses) 6.0
12080 Bayesian Methods 6.0
O aluno deverá obter 6.0 créditos nesta opção.
5.º Semester
Code Name ECTS
12232 Actuarial Statistics 6.0
7816 Measure Integration and Probability 6.0
13507 Statistical Learning Models 6.0
12231 Multivariate Models 6.0
13508 Time Series and Forecast Models 3.0
6.º Semester
Code Name ECTS
12236 Financial Mathematics 6.0
12233 Stochastic Processes and Applications 6.0
12234 Simulation Techniques in Risk Management 6.0
6.º Semester - Opção II
Code Name ECTS
Options
12530 Genetic Algorithms and Neural Networks 6.0
12082 Large Graph Analytics 6.0
O aluno deverá obter 6.0 créditos nesta opção.
6.º Semester - Opção PIIC/PIPP
Code Name ECTS
Options
12238 Undergraduate Research Opportunities Program 3.0
12237 Undergraduate Practice Opportunities Program 3.0
O aluno deverá obter 3.0 créditos nesta opção.