Data Science and Information Engineering Linköping University

Overview

The Data Science and Information Engineering Master's programme at Linköping University offers a comprehensive curriculum that focuses on the analysis, processing, and transmission of large-scale data and signals. Students will engage with cutting-edge tools derived from machine learning, signal processing, and information and communication theory. The programme is structured to provide a robust foundation for those aspiring to excel in the rapidly evolving technology sector.

Linköping University is renowned for its innovative approach to education and research, particularly in the fields of computer vision and data science. The university boasts excellent research facilities and partnerships with leading tech companies, providing students with unique opportunities to engage in practical applications of their studies. Its commitment to fostering a collaborative learning environment ensures that students can thrive and develop their skills effectively.

The tuition fees for the Data Science and Information Engineering Master's programme are as follows:

• International students: SEK 280,600 for the full programme
• European students: SEK 0 for the full programme

Visit the Fees and Funding section for a breakdown in your local currency.

The programme is structured over four semesters, incorporating both compulsory and elective courses to ensure a well-rounded education. Below is a brief overview of the syllabus:

• Semester 1:
  • Detection and Estimation of Signals - 6 credits
  • Information and Communications Engineering - 6 credits
  • Multidimensional Signal Analysis - 6 credits
  • Complex Networks and Big Data - 6 credits
  • Machine Learning - 6 credits
• Semester 2:
  • Algorithmic Problem Solving - 6 credits
  • Embedded Perception Systems - 6 credits
  • Computer Vision for Video Analysis - 6 credits
  • Digital and Wireless Communications - 6 credits
  • Data Compression - 6 credits
  • Natural Language Processing - 6 credits
  • Data Mining - Clustering and Association Analysis - 6 credits
  • 3D Computer Vision - 6 credits
  • Image and Audio Compression - 6 credits
  • Multiple Antenna Communications - 6 credits
  • Signal Processing for Communications - 6 credits
  • Sensor Fusion - 6 credits
  • Bayesian Learning - 6 credits
• Semester 3:
  • Images and Graphics, Project Course - 12 credits
  • Digital Image Processing - 6 credits
  • Machine Learning for Computer Vision - 6 credits
  • Project Course in Signal Processing, Communications and Networking - 12 credits
  • Information Networks - 6 credits
  • Modern Channel Coding, Inference and Learning - 6 credits
  • Modelling and Learning for Dynamical Systems - 6 credits
  • Advanced Machine Learning - 6 credits
  • Distributed Information Processing and Machine Learning - 6 credits
• Semester 4:
  • Degree Project - Master’s Thesis - 30 credits

Graduates of the Data Science and Information Engineering programme are well-prepared for careers in various technology sectors. Alumni have successfully secured positions with leading companies such as Ericsson, Saab, Sectra, and Qualcomm. They often take on roles that involve engineering, data analysis, and project management, contributing to innovative projects and advancements in technology.