Machine learning is one of the strong points of Aalto University. This solid education in modern computational data analysis gives you excellent opportunities for a career in research institutions or in the private sector in the rapidly developing fields of machine learning, data science, and artificial intelligence.

The methods of machine learning and data mining are applicable and needed in a wide variety of fields ranging from process industry to data science. Recent spearhead application areas include

Become an expert in human-centred approach to digital technologies!

Master’s Programme in Information Networks is a trans-disciplinary study programme in an engineering building on information and communication technology (ICT) and digital media. It combines the fields of social sciences, advanced digital technologies and business.

The programme provides the students with a comprehensive understanding of the interaction between human beings and digital technologies on the individual, group, organizational and societal levels. You will learn about the joint development of digital technologies and business in a novel human-centred, collaborative and creative manner.

Apply between 4 December 2018 and 23 January 2019

Read more about Scholarships

The analysis of data has a central role in the modern information society. Organizations in both the public and private sector are collecting vast data sets, and an increasing amount of public sector data is made open. However, data - assumed to be an important asset for organizations - is useless unless it is analyzed. An analysis is required to find regularities such as trends or groupings, and to relate the data to other data sets within an organization or in scattered online repositories. Analysis needs activities such as data cleansing, data integration, modeling and prediction, interactive and iterative visualization of data and models for the refinement of hypotheses and models, and the presentation of intermediate and final results to the decision-makers using visualization and reporting methods. Successful analysts need skills in both computational and statistical topics. This program educates top-level experts in computational and statistical data analysis, who possess knowledge and skills for the aforementioned tasks and understand the overall processes of the data analysis.... [-]

In a modern world, embedded systems are everywhere — in cars, buildings, factories, and roads. They make the world smart. Embedded systems work in interaction with their environment and other systems. They sense, process and communicate. They may even scavenge their energy from the environment. Embedded systems interact with people or work invisibly in the background. Many systems are designed to increase safety, like the automatic anti-collision braking in a car. Some are designed for fun, like a camera augmenting reality in an outdoor game.

Embedded systems combine hardware and software expertise. As a student, we expect you to know the basics of electronics, digital logic, processors, and programming. Optionally, you are familiar with computer networks and wireless communications. The applicants should hold a BSc degree in computer science, electrical engineering or software engineering.... [-]