MSc Communications and Data Science 24 months Postgraduate Programme By Aalto University |TopUniversities

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The expertise gained through the Communications and Data Science Programme features diverse programming skills, good mathematical background, goal-oriented problem solving, as well as efficient project planning and management. Students will advance their knowledge in the broad field of computer networks and cybersecurity, and gain professional experience through tailored industry-relevant projects and entrepreneurship training.

The Programme will empower students to solve industry-relevant problems employing cutting-edge tools of artificial intelligence, automation and control theory, data analytics, wireless systems, and signal processing. Students will acquire competences in a range of techniques covering the broad areas of electronics, data science, distributed systems, modelling and analysis of signals and systems, machine learning models, and communication systems.

During their studies, students will further acquire expertise in other areas, such as teamwork and coordination, entrepreneurship, critical thinking, and sustainability.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The expertise gained through the Communications and Data Science Programme features diverse programming skills, good mathematical background, goal-oriented problem solving, as well as efficient project planning and management. Students will advance their knowledge in the broad field of computer networks and cybersecurity, and gain professional experience through tailored industry-relevant projects and entrepreneurship training.

The Programme will empower students to solve industry-relevant problems employing cutting-edge tools of artificial intelligence, automation and control theory, data analytics, wireless systems, and signal processing. Students will acquire competences in a range of techniques covering the broad areas of electronics, data science, distributed systems, modelling and analysis of signals and systems, machine learning models, and communication systems.

During their studies, students will further acquire expertise in other areas, such as teamwork and coordination, entrepreneurship, critical thinking, and sustainability.

Admission Requirements

6.5+
68+
4.5+
Eligibility: Relevant Bachelor's degree

2 Years
Sep

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