Master's Programme in Mathematical Statistics
120 credits cr.
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Do you have a background in mathematics and want to learn more about probability, statistics and data analysis? Mathematical statistics is considered one of the most important tools in applied mathematics and our MSc programme offers you a broad platform with vast opportunities to specialise and form a unique competence profile.
During lectures and laboratory sessions in this two-year programme, you will meet teachers who perform research within subjects such as applications in biostatistics, climatology, econometrics, finance and probabilistic modelling.
Study at Stockholm University
Being a collaborator in the Stockholm Mathematics Centre, our department is part of a developing international core for scientific work in mathematics. At Stockholm University, studies in mathematical statistics covers a full range of topics from probability theory to applied statistics and computing. The programme includes traditional measure-theoretic probability theory to provide a solid mathematical foundation as well as a statistical consultancy. Whether you wish to specialise in a more applied or theoretical direction, you are assured high-quality education with active researchers as teachers.
One of the many advantages with a background in mathematical statistics, is that your career options are found in the most unexpected and exciting sectors. This programme is an excellent preparation for PhD studies, but our graduates also work with risk analysis in the insurance and financial sector, statistical analysis in medicinal science, climatology and probability calculations in the telecommunication industry. If you are looking for even more inspiration, the department hosts a yearly career fair for mathematicians.
The programme consists of 67.5 credits of mandatory courses and 52.5 credits which you choose depending on your field of interest.
The mandatory courses give you an in depth-knowledge in probability theory, statistical modelling, stochastic processes and mathematical communication.
Following this, you can choose courses to specialise and prepare for the degree project. Some of the courses (30 credits) must be chosen from a list of courses in mathematics and mathematical statistics (at least 7.5 credits must be mathematical statistics), and the other 22.5 credits can be chosen freely and used to broaden your experience with courses in another subject or studies abroad.
Only the mandatory courses are shown below. You should choose additional courses so that you take 30 credits each semester.
List of optional courses, and the difference between optional and freely chosen courses
MT7001 Probability Theory III, 7.5 credits
MM7020 Mathematical communication, 7.5 credits
MT7038 Statistical Learning, 7.5 credits
You may replace Mathematical communication with Statistical Consulting Methods (MT8001), if this is available. You may also replace Statistical Learning with Computer Intensive Statistical Methods (MT7024) if it is available.
MT5012 Stochastic Processes and Simulation II, 7.5 credits
MT7002 Statistical Models, 7.5 credits
No mandatory courses.
MT9013 Mathematical Statistics, Degree Project, 30 credits
The final part of your studies comprises a degree project where you independently get to plan, carry out and report a research project under the supervision of one of our researchers.
MT9013 Mathematical Statistics, Degree Project, 30 credits
Examples of previous degree projects
How to apply
This programme is open for application both during the first admissions round (about 15 October to 15 January) and the second admissions round (about 15 March to 15 April). If you are not a citizen of the EU/EEA you will need to apply for a residence permit to study in Sweden, in which case you should apply to the programme in the first round so that you have time to apply for a residence permit after the admissions results are published.
Key dates and deadlines at universityadmissions.se
A step-by-step guide how to apply
Note that if you applied in the second admissions round and are offered a place or a reserve place and you wish to keep it, you must reply to you offer via universityadmissions.se within a week or so. If you applied in the first admissions round and are offered a place, you do not need to reply to your offer.
Selection processAdditional eligibility criteria
The selection of students is based on grades of academic courses and the relevance of previous studies in relation to the programme. The subject of mathematical statistics includes theoretical and applied statistics, probability theory and stochastic processes. All of these components should ideally be represented in previous studies.
Required supporting documentation
You do not need to send in letters of recommendation or motivation, or other documentation beyond what is required according to universityadmissions.se.
Scholarships and funding
The scholarship scheme at Stockholm University is aimed at especially qualified students coming from countries outside of EU/EEA/Switzerland and who are required to pay tuition fees for studies.
Scholarships offered by Stockholm University
The Swedish Institute Study Scholarships target highly-qualified students from certain countries. The scholarships will be awarded for master's studies in Sweden, starting in autumn and covers both living costs and tuition fees.
Scholarships offered by the Swedish Institute
You are also encouraged to investigate what scholarships are available through your university, government or international organisations.
Programme structure for students admitted earlier
If you started the programme between 2015 and 2019, you are following a different programme structure, where the mandatory courses are:
- Probability theory III
- Statistical models
- Computer intensive statistical methods
- Mathematical communication
- Stochastic processes III or Statistical Consulting Methodology
- Master's thesis in Mathematical statistics
Besides this you need 37.5 credits' worth of elective courses, of which at least 15 credits must be in mathematical statics, and 15 credits' worth of optional courses in any subject.
If you were admitted when the education plan was different, you can choose to follow either the current education plan, or that which was valid when you were admitted to the programme.
Previous education plans can be found in the Syllabus archive.
Student contact at the Department of Mathematics
Programme Director: Daniel Ahlberg