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# Mathematical Sciences - master

## Facts

Duration: | 2 Years |

Credits (ECTS): | 120 |

Qualification: | Master of Science in Mathematical Sciences. |

Admission requirements: | Bachelor of Science in mathematics, statistics, physics or other relevant degree, with a minimum of 80 ECTS in mathematics and/or statistics. |

Application deadline: | 15 April/1 November International applicants: 1 December |

Application code: | 4010 |

## Programme description

The academic contents of the program are geared towards modern issues in mathematics and statistics, and towards the appliance of mathematics and statistics in technology and other natural sciences. The candidates will gain relevant skills within programming, data processing, analytical problem solving and quantitative analysis.

The Master´s program consists of a master’s thesis of 60 ECTS, 20-40 ECTS in specialization courses, up to 20 ECTS in elective courses, and 20 ECTS in the mandatory courses MAT-3001 «Introduction to mathematical research 1» and MAT-3002 «Introduction to mathematical research 2»

Courses from other Universities, both national and international can be included in the study program.

## Programme structure

Term | 10 ects | 10 ects | 10 ects | |||

First term (autumn) |
MAT-3001 Introduction to mathematical research 1 |
Specialization |
Elective/specialization |
|||

Second term (spring) |
MAT-3002 Introduction to mathematical research 2 |
Specialization |
Elective/specialization |
|||

Third term (autumn) |
Thesis |
|||||

Fourth term (spring) |

## Learning outcomes

After completing the study program, the candidate will have achieved the following learning outcomes:

**Knowledge - The candidate..**

• has advanced knowledge within mathematical areas such as statistics, algebra, geometry or applied mathematics

• has solid knowledge about fields close to the chosen main area

• has sufficient knowledge of mathematics to teach in senior high school

• has solid knowledge about fields close to mathematics and statistics, such as physics or computer science

• has thorough knowledge of mathematical or statistical methods in theory and practice and can analyze academic problems on the basis of traditions in the academic field

• can apply mathematical or statistical methods in new areas of natural and social science

** Skills - The candidate**..

• can enter complicated problem issues, uncover structures and formulate precise problems, find suitable analytical and/or numerical solution methods, and interpret the solutions

• has good practical skills in using relevant programming tools

• can use existing literature in an active way to understand the work of other scientists, and as support to solve own mathematical problems

• can use mathematical or statistical methods in theory and practice, and make an independent judgment of the applicability of theory and models for a given problem

• can carry out an independent, limited research project under supervision and in accordance with applicable norms for research ethics in the mathematical sciences

**General Competence - The candidate.**.

• has solid knowledge of a broad variety of mathematical and statistical methods and techniques for analysis and problem solving

• has acquired good theoretical insight and the ability to apply mathematical theory, methods and techniques to solve problems

• possesses necessary qualifications for work within industry, technology, science, information technology, and schools.

• can apply knowledge within mathematics and statistics on problems and questions arising within social and natural sciences

• can cooperate in an interdisciplinary way with other specialists

• can find precise and scientific formulations, in oral and written language

• can do independent scientific work and formulate the contents of the work within the framework of the terminology of mathematics and statistics

• can make knowledge-based judgments on general scientific issues and communicate these in public.

• can contribute to new thinking and innovation processes in the field of mathematics and statistics

## Teaching and assessment

This Master's degree requires motivation and hard work. To achieve the learning outcomes students should expect to put in more than 40 hours of work each week, including lectures, seminars and self-study.

The courses in the study program mostly consists of lectures, seminars and excercises.

All academic staff who teach the study programme are active researchers in various research projects. The courses are based on relevant research and are related to the departments research activity. Special curriculums and the Master's thesis are supervised on an individual basis by the department's academic staff

Form of assessment varies between portfolio assessments, home exams, reports, oral and written exam. In some courses, mandatory assignments have to be approved for access to the exam.

After handing in the Master's thesis, it is assessed, and normally within 6 weeks an oral presentation and examination is held, that may influence on the final mark.

## Language of instruction

## Exchange possibilities

Exchange with other Norwegian or foreign institutions is encouraged in the two first semester. Several exchange agreements and stipend arrangements are available at UiT. The Department has several exchange agreements that are suitable for Master's students.

The program board must preapprove the planned courses at external institutions.

We recommend an exchange stay in the second semester. The mandatory course MAT-3002 can be exchanged with another relevant course at the exchange University, or the students can follow this course digitally and take 20 credits at the exchange University.

## Job prospectives

Through the program, the students will acquire broad competence that qualifies them for work in different areas and sectors. They train in problem-solving using systematic and analytical methods, which will make them attractive candidates for research, development, management, and the public and private sectors. There are development and innovation projects that require competence in the mathematical sciences in renewable energy, climate adaptation, information technology, economics, insurance, finance and banking, biotechnology, and medical technology.

In the public sector, there is a demand for mathematicians and statisticians in all technical agencies and natural and environmental management. In the private sector, there is an increasing need for personnel who can process and analyze data, and our society sees a growing demand for competence in modeling and analyzing complex problems within different sectors and fields.