Program Overview
The Mathematical Sciences at Norwegian University of Science and Technology (NTNU) is a MSc programme in Humanities over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of humanities. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Mathematical Sciences programme are well-prepared for careers in academia, industry, government, and the private sector across Norway and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- English requirement: IELTS 6.5
- Location: Trondheim, Norway
Career Opportunities
Graduates of the Mathematical Sciences programme are prepared for diverse careers in humanities:
- Researcher / Academic
- Cultural Programme Manager
- Editor / Writer
- Translator / Interpreter
- Museum Curator
- Communications Specialist
Program Curriculum
Course Structure
- Rings and Modules
- Galois Theory
- Linear Methods
- Foundations of Analysis
- Manifolds
- Analysis on Manifolds
- Mathematical Modelling
- Numerical Solution of Differential Equations by Difference Methods
- Statistical Inference
- Computer-Intensive Statistical Methods
Admission Requirements
Academic Requirements
To be admitted to a master\'s programme that is based on a first degree, you need to fulfil the following requirements:
- have a bachelor\'s degree or its equivalent
- have a passing grade in courses corresponding to 80 credits in the subject area of the relevant master\'s degree, as specified in the curriculum for the relevant master\'s programme (see next section)
- have fulfilled the other requirements for admission, as specified in the programme description for the master\'s programme.
Special rules for admission to the mathematical sciences
The general rules for admission to the master\'s programme are described above. The special prerequisites for admission to the master\'s degree programme in mathematical sciences are described below. There is one common admission system for the programme options in the master\'s programme.
To be admitted to the master\'s degree programme, both internal and external applicants must meet the following requirements:
- have obtained a bachelor\'s degree, cand.mag. degree or equivalent education.
- satisfy the requirements for the main profile/specialization (at least 80 credits in mathematical sciences) where courses corresponding to the following must be included: MA1101 Basic Calculus I (7.5 credits), MA1102 Basic Calculus II (7.5 credits), MA1103 Vector Calculus (7.5 credits), MA1201 Linear Algebra and Geometry (7.5 credits), MA1202 Linear Algebra with Applications (7.5 credits)
For the specializations algebra, analysis and topology, the following courses must also be included:
MA2105 Complex Function Theory with Differential Equations (7.5 credits) or equivalent, for example, TMA4120 Calculus 4K, MA2201 Algebra (7.5 credits), as well as 2 courses in pure mathematics, of which at least one is at an advanced level.
For the specialization Applied Mathematics, the following courses must also be included:
MA2105 Complex Function Theory with Differential Equations (7.5 credits) or equivalent, for example, TMA4120 Calculus 4K. MA2501 Numerical Methods or TMA4215 Numerical Mathematics (the latter is an advantage for this specialization). For this specialization, some background in physics and informatics (programming) may be an advantage.
For the Statistics specialization, at least 30 credits must be statistics courses, which must include the following courses:
ST1101 Probability and Statistics, ST1201 Statistical Methods, as well as at least one of the courses: TMA4267 Linear Statistical Models, TMA4265 Stochastic Processes or another statistics course at the equivalent level.
English Proficiency: IELTS 6.5 or equivalent.
Tuition & Financial Information
Detailed tuition information is not available. Please contact the university for the most current tuition and fee information.
Application Deadline
2001-12-17
About Norwegian University of Science and Technology (NTNU)
Norwegian University of Science and Technology (NTNU)
Trondheim, Norway
Visit the university profile page to learn more about this institution.
University Profile- Application Deadline 2001-12-17
- Start Date 2018-08-01
- Language English
- Duration 24 months