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Master of Science
On Campus
Accomodation
Uppsala University
Uppsala
Sweden

Machine Learning and Statistics

About

The Master’s Programme in Machine Learning and Statistics is a two-year, full-time on-campus program that focuses on the theoretical foundations and practical applications of machine learning and statistical methods. The program combines advanced statistical theory with modern computational techniques to analyze complex datasets and build predictive models. Students study topics such as machine learning algorithms, Bayesian statistics, statistical inference, and data-driven modeling approaches.

Graduates develop strong quantitative analysis skills, machine learning expertise, and statistical modeling competence, preparing them for careers in data science, artificial intelligence, research, finance, and technology industries. Uppsala University offers a strong research-focused environment that supports advanced study in both theoretical and applied aspects of modern data science.

Key Facts

Program Details
Degree: Master of Science
Location: Uppsala, Sweden
Academic Information
Area of study: Statistics
Study Format
Study Type: On Campus
Format: Full-time
Language
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Key Facts

  • Program Title: Machine Learning and Statistics
  • Degree Type: Master of Science
  • Duration: 2 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 15 January 2027
  • Location: Uppsala University, Sweden
  • Field of Study: Statistics
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations of Machine Learning and Statistics
• Introduction to Machine Learning
• Probability and Statistics
• Supervised and Unsupervised Learning
• Research Methods in Machine Learning and Statistics

Semester 2 – Advanced Machine Learning and Statistical Methods
• Deep Learning and Neural Networks
• Statistical Inference and Hypothesis Testing
• Time Series Analysis
• Elective Modules in Machine Learning and Statistics

Semester 3 – Specialized Machine Learning Applications
• Natural Language Processing
• Reinforcement Learning
• Data Mining and Predictive Analytics
• Fieldwork/Research Project in Machine Learning

Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Machine Learning Applications
• Final Presentation & Research Evaluation

Career Opportunities

Graduates of the Machine Learning and Statistics Master’s program are highly sought after in fields such as data science, AI development, statistics, and machine learning engineering. With expertise in statistical modeling and machine learning algorithms, alumni can pursue careers as data scientists, machine learning engineers, statisticians, and AI researchers. The increasing demand for machine learning and AI solutions across industries like technology, healthcare, and finance ensures ample career opportunities in this rapidly growing field.

Why Choose This Program

The Machine Learning and Statistics program combines the power of statistical analysis with cutting-edge machine learning techniques. Students will gain expertise in designing algorithms, statistical modeling, and data mining, preparing them for careers in data-driven fields such as artificial intelligence, business analytics, and research. The program’s focus on both theory and practical applications ensures that graduates are well-prepared to tackle real-world problems using machine learning and statistical methods.

Contact Information

For further information, please contact the admissions office at:
Phone: +46 18 471 00 00
Email: info@uu.se
Address: Uppsala University, S:t Olofsgatan 10B, 753 11 Uppsala, Sweden

Duration
-
Tuition fee
$15,630.00/year
Location
Uppsala, Sweden
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