Statistics and Machine Learning Linköping University

Overview

The Master's Programme in Statistics and Machine Learning at Linköping University equips students with essential skills to harness the power of data for informed decision-making. With a comprehensive curriculum that integrates statistical modelling with machine learning techniques, students are prepared to tackle complex data challenges across various sectors.

Why Statistics and Machine Learning at Linköping University?

Linköping University is renowned for its innovative approach to education and research, consistently ranking among the top institutions in Sweden. The university boasts strong partnerships with industry leaders, providing students with access to cutting-edge facilities and resources. This collaboration enhances the practical learning experience, allowing students to engage with real-world data problems.

Tuition Fee Breakdown

The tuition fee for international students is SEK 271,200 for the full programme. Students from the EU, EEA, and Switzerland are exempt from tuition fees. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme spans two years and includes a diverse range of courses, ensuring a solid foundation in both theoretical and practical aspects of statistics and machine learning. Key modules include:

• Statistical Methods
• Machine Learning
• Computational Statistics
• Advanced Data Mining
• Deep Learning
• Big Data Analytics
• Bayesian Learning

In the third semester, students may choose from a selection of profile and complementary courses, as well as opportunities for exchange studies, further enhancing their academic experience.

Industry Demand

The demand for specialists in data analysis is surging across multiple sectors, including business, telecommunications, IT, and healthcare. Graduates of this programme are well-prepared to meet the needs of employers seeking advanced analytical capabilities.

Careers with Statistics and Machine Learning

Graduates from the Statistics and Machine Learning programme find themselves in high-demand roles within various industries. Alumni have successfully transitioned to positions such as data scientists, analysts, and researchers, working for prestigious organisations. The programme's strong emphasis on practical experience ensures that students are equipped to tackle real-world challenges, making them valuable assets in the job market.