Master’s Programme in Mathematical Statistics

The Master's Programme in Mathematical Statistics at Stockholm University offers a comprehensive education for students interested in advanced statistical theory and its applications. Designed to equip students with a deep understanding of probabilistic models, statistical inference, and data analysis techniques, this programme prepares graduates for careers in research, industry, public sector, and academia. The curriculum combines rigorous mathematical foundations with practical skills, emphasizing both theoretical and computational aspects of statistical methods. Students will explore subjects such as probability theory, statistical inference, stochastic processes, Bayesian methods, and machine learning, gaining the ability to develop and implement statistical models for complex data. The programme encourages analytical thinking, problem-solving, and research skills, fostering the ability to work independently and collaboratively on challenging statistical problems. Through coursework, projects, and a thesis, students gain hands-on experience in applying statistical techniques to real-world data and problems. The programme also offers opportunities for international exchange and collaboration, enhancing students' global perspectives and professional networks. Graduates are well-equipped for careers in data science, research institutes, government agencies, and private companies, or for continuing their studies at the doctoral level. The faculty includes renowned researchers and experts in the field, providing a stimulating academic environment that promotes innovation and academic excellence. Admission requires a solid background in mathematics and statistics, and students are expected to engage actively with coursework, seminars, and research activities. The Master's in Mathematical Statistics at Stockholm University is ideal for those passionate about exploring the mathematical foundations of statistics and seeking to apply this knowledge to solve complex, data-driven problems across diverse fields.

The Master's Programme in Mathematical Statistics at Stockholm University offers an advanced and comprehensive education in the core principles and methodologies of statistical analysis, emphasizing both theoretical foundations and practical applications. This programme is designed for students who have a strong interest in the mathematical aspects of statistics and wish to develop their expertise in analyzing complex data sets, probabilistic modeling, and statistical inference. Throughout the programme, students will gain a deep understanding of mathematical concepts such as probability theory, statistical modeling, and algorithms, alongside practical skills in data analysis, simulation, and computational methods. The curriculum integrates coursework in stochastic processes, statistical decision theory, multivariate analysis, Bayesian statistics, and statistical learning, preparing graduates for roles in research, industry, or further doctoral studies. Students will also have opportunities to collaborate on research projects, attend seminars led by leading experts, and utilize state-of-the-art statistical software. The programme is highly interdisciplinary, fostering connections with fields like finance, biology, engineering, and social sciences, where sophisticated statistical methods are essential. Graduates from this programme will be well-equipped to contribute to data-driven decision making in a variety of sectors, including academia, government agencies, and private enterprise. The programme emphasizes both theoretical rigor and practical application, ensuring students are capable of designing, implementing, and interpreting complex statistical models. With a strong focus on analytical thinking, problem-solving, and communication skills, students will be prepared to meet the increasing demand for advanced statistical expertise in today’s data-centric world. Upon completion, students will hold a Master of Science degree in Mathematical Statistics, opening doors to advanced research positions, industry roles, or doctoral studies in statistics, mathematics, or related fields.

Admission requirements for the Master's Programme in Mathematical Statistics at Stockholm University typically include a bachelor's degree or equivalent qualification with a strong emphasis on mathematics and statistics. Applicants are expected to have completed courses in advanced mathematics, probability theory, and statistical inference. A solid foundation in calculus, linear algebra, and programming skills, particularly in statistical software such as R or Python, is highly advantageous. The program values applicants with a documented proficiency in English, demonstrated through recognized test scores such as TOEFL or IELTS, ensuring that students can effectively engage with course materials and participate in discussions. Moreover, previous research or project experience in mathematical statistics, data analysis, or related fields can strengthen an application. During the selection process, the university considers academic performance, motivation, and relevant experience to evaluate an applicant’s preparedness for the rigorous coursework and research components of the programme. It is also recommended that applicants submit a completed application form, academic transcripts, CV, and a personal statement outlining their interest in the field and career goals. Meeting the minimum requirements does not guarantee admission, as the selection process is competitive and based on a holistic assessment of the applicant’s profile. International students should be aware of visa requirements and should submit their applications in due time, following the specified deadlines on the university’s admissions portal. The programme aims to admit students who demonstrate not only academic excellence but also a genuine interest in mathematical statistics and its applications in various scientific and industrial contexts. Consequently, applicants are encouraged to present diverse experiences and motivations that align with the programme’s objectives of developing advanced analytical and research skills in the field of mathematical statistics.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

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Financing studies in the Master's Programme in Mathematical Statistics at Stockholm University are primarily funded through a combination of government funding, student tuition fees (for non-EU/EEA students), scholarships, and external grants. For Swedish and EU/EEA students, education is generally covered by public funds, making the cost of the program largely free of charge, aside from minor fees for course literature and student union expenses. Non-EU/EEA students are required to pay tuition fees, which vary depending on the program but typically range from SEK 140,000 to SEK 170,000 for the entire program. Students are encouraged to seek external scholarships and grants such as Erasmus+, Swedish Institute Scholarships, and university-specific financial aid options to offset costs. Stockholm University provides guidance on applying for these scholarships, which are highly competitive but can significantly reduce financial burdens. Additionally, students can consider part-time work during their studies, although the workload of the program requires good time management. The university offers various student aid programs, including loan facilities and bursaries, primarily aimed at domestic students, but some available for international students as well. Moreover, students are advised to explore the possibilities of research assistantships and project funding if involved in research projects within the department, which can provide additional income and practical experience. The university’s Career Services also assist students in finding paid internships and part-time positions relevant to their field of study, further supporting financing efforts during the program. Overall, the combination of public funding, scholarship opportunities, and employment options provides a comprehensive financial framework for students enrolled in the Mathematical Statistics Master's Programme at Stockholm University, ensuring access regardless of economic background and enabling students to focus on their academic and professional development.

The Master's Programme in Mathematical Statistics at Stockholm University offers students a comprehensive education in the theoretical and applied aspects of mathematical statistics. The programme is designed to equip students with advanced knowledge and skills necessary for research, development, and analysis in various fields such as data science, finance, biostatistics, and more. Students will explore key topics including probability theory, statistical inference, stochastic processes, and computational statistics. The curriculum emphasizes both theoretical foundations and practical applications, often incorporating programming and data analysis tools to prepare students for real-world challenges. The programme is suitable for students who have a solid background in mathematics and basic statistics, and who wish to deepen their understanding of statistical methods and their applications across diverse domains. Upon completion, graduates are well-prepared for careers in academia, industry, or government agencies, or for doctoral studies in statistics or related fields. The programme typically encourages collaboration with researchers and industry partners, providing opportunities for internships, projects, and seminars that enhance practical experience. Stockholm University’s vibrant academic environment, combined with expert faculty members and state-of-the-art facilities, creates an ideal setting for advanced studies in mathematical statistics. The programme's duration, admission requirements, and specific courses may vary; thus, prospective students are advised to consult the official Stockholm University website for the most current and detailed information. Overall, the Master's Programme in Mathematical Statistics aims to develop analytical thinking, problem-solving skills, and a deep understanding of statistical theory and methodology, preparing students to contribute effectively to science and industry.