Program Overview

Applied Mathematics to Risk Management

The Applied Mathematics to Risk Management 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.

Education Objectives

The program aims to meet the growing demands of the market by providing a unique structure that combines theory and practice in alignment with internationally recognized standards for risk analysis professionals. The program's faculty has extensive experience in training professionals in the field of risk, and the program has strong relationships with companies and employers, enabling student participation in internships and practical projects.

Career Opportunities

Graduates of the program can pursue careers as:

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

General Characterization

• DGES code: 1123
• Cycle: 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
  • 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
  • 19 Mathematics A + 04 Economics
  • 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:
  • 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.

Structure

1.ş 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.ş 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.ş 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.ş 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.ş Semester - Opçăo I

• Code | Name | ECTS
  • Options
    • 10361 | Operational Research (Engineering Courses) | 6.0
    • 12080 | Bayesian Methods | 6.0
  • The student must obtain 6.0 credits in this option.

5.ş 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.ş 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.ş Semester - Opçăo II

• Code | Name | ECTS
  • Options
    • 12530 | Genetic Algorithms and Neural Networks | 6.0
    • 12082 | Large Graph Analytics | 6.0
  • The student must obtain 6.0 credits in this option.

6.ş Semester - Opçăo PIIC/PIPP

• Code | Name | ECTS
  • Options
    • 12238 | Undergraduate Research Opportunities Program | 3.0
    • 12237 | Undergraduate Practice Opportunities Program | 3.0
  • The student must obtain 3.0 credits in this option.