Linköping University

Overview

The Master’s programme in Data Science and Information Engineering at Linköping University integrates machine learning, signal processing, and information/communication theory to equip students with the ability to design and assess data-driven systems. Through a research-focused degree project, you will cultivate essential skills applicable to advanced analytics, computer vision, and intelligent communication technologies.

What you'll study

The programme is structured over four semesters, culminating in a total of 120 ECTS credits. It features a blend of compulsory courses and a research-based degree project, ensuring a comprehensive understanding of the field.

Semester 1 (compulsory courses)

• Detection and Estimation of Signals (6 ECTS)
• Information and Communications Engineering (6 ECTS)
• Multidimensional Signal Analysis (6 ECTS)
• Complex Networks and Big Data (6 ECTS)
• Machine Learning (6 ECTS)

Semester 2 (compulsory courses)

• Algorithmic Problem Solving (6 ECTS)
• Embedded Perception Systems (6 ECTS)
• Computer Vision for Video Analysis (6 ECTS)
• Digital and Wireless Communications (6 ECTS)
• Data Compression (6 ECTS)
• Natural Language Processing (6 ECTS)
• Data Mining – Clustering and Association Analysis (6 ECTS)
• 3D Computer Vision (6 ECTS)
• Image and Audio Compression (6 ECTS)
• Multiple Antenna Communications (6 ECTS)
• Signal Processing for Communications (6 ECTS)
• Sensor Fusion (6 ECTS)
• Bayesian Learning (6 ECTS)

Entry requirements

Applicants are expected to demonstrate proficiency in English, typically evidenced by a TOEFL score or an equivalent qualification accepted by the university.

Career prospects

Graduates of this programme are well-prepared for a variety of roles in the tech industry, including positions in data analytics, artificial intelligence, machine learning, and communication technology. The skills acquired during the course make alumni valuable assets in a rapidly evolving job market.