Mathematical Statistics and Machine Learning
The Master of Science in Mathematical Statistics and Machine Learning at Stockholm University is a two-year, full-time on-campus program within the field of mathematics. The program combines advanced mathematical theory with practical applications in statistical analysis and machine learning. Students explore a range of topics including probability theory, statistical inference, data modeling, and algorithms, gaining expertise in both classical statistical methods and modern machine learning techniques such as supervised and unsupervised learning, deep learning, and data mining.
Graduates can pursue careers in data science, statistical analysis, and machine learning engineering. The program also provides a strong foundation for doctoral studies, preparing students for roles in academia, research institutions, and industries such as finance, technology, healthcare, and artificial intelligence, where advanced skills in statistical modeling and machine learning are in high demand.
Key Facts
Key Facts
- Program Title: Mathematical Statistics and Machine Learning
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 April 2026
- Location: Stockholm University, Sweden
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Mathematical Statistics and Machine Learning
• Introduction to Probability and Statistics
• Linear Algebra and Calculus for Data Science
• Introduction to Machine Learning Algorithms
• Research Methods in Mathematical Statistics
Semester 2 – Advanced Mathematical Statistics
• Regression and Classification Models
• Multivariate Statistical Analysis
• Optimization and Computational Statistics
• Elective Modules in Machine Learning
Semester 3 – Specialized Machine Learning Techniques
• Deep Learning and Neural Networks
• Statistical Inference for Big Data
• Time Series and Predictive Analytics
• Fieldwork/Research Project in Machine Learning
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Statistical Learning
• Final Presentation & Research Evaluation
Career Opportunities
Graduates of the Master of Science in Mathematical Statistics and Machine Learning program are highly sought after in data science, machine learning, and statistical modeling. They can pursue roles as data scientist, machine learning engineer, quantitative analyst, and statistical consultant. The increasing reliance on big data and machine learning across industries such as finance, healthcare, and technology creates abundant career opportunities for graduates. Many alumni work in research institutions, tech companies, and financial services, driving innovation in predictive analytics and algorithm development.
Why Choose This Program
The Master of Science in Mathematical Statistics and Machine Learning program combines advanced statistical methods with cutting-edge machine learning techniques. Students gain expertise in areas such as data analysis, algorithm design, and predictive modeling. The program’s focus on both theoretical foundations and practical applications ensures that graduates are well-prepared to tackle complex problems in data science and machine learning, providing them with a competitive edge in the rapidly growing field of AI and data analytics.
Contact Information
For further information, please contact the admissions office at:
Phone: +46 8 16 20 00
Email: info@su.se
Address: Stockholm University, Universitetsvägen 10A, 106 91 Stockholm, Sweden
