Master's Programme in Computer, Communication and Information Sciences - Signal, Speech and Language Processing

The Signal, Speech and Language Processing major leads to rewarding career opportunities in various fields of science, technology and finance. This international research-oriented graduate programme offers two specialisation paths, equipping the students with essential skills in either signal processing or speech and language processing.
Two students on a laptop in classroom




1.12.2021 – 3.1.2022




2 vuotta, täysipäiväinen


Soveltuva alempi korkeakoulututkinto




120 opintopistettä


Sähkötekniikan korkeakoulu


EU/ETA-alueen ulkopuoliset kansalaiset, €15000/v (maisteriopinnot)

Hakuaika on päättynyt

Haku maisterikoulutuksiin

Webinaari | Signal, Speech and Language Processing

Haluatko kuulla lisää maisteriohjelmasta Signal, Speech and Language Processing? Katso webinaariallenne, jossa ohjelman edustajat ja opiskelijat kertovat kertovat lisää opintojen sisällöstä sekä uramahdollisuuksista ja vastaavat kysymyksiin opinnoista.

Katso webinaaritallenne
Students working together on a laptop

General description

Information rules the world, and skilled experts with the tools to collect and interpret it are more in demand than ever. The Signal, Speech and Language Processing major sits at the intersection of many fascinating disciplines and timely challenges, from automatic understanding of spoken language and predicting the stock market to supporting breakthroughs in climate science or developing better medical technology. Students choose from two specialisations: signal processing or speech and language processing.

Benefiting from world-class research and facilities, students graduating from the programme will have:

  • A strong theoretical and methodological background of modern signal processing or speech and language processing. Graduates specialised in signal processing possess a toolbox of knowledge on signals and systems modelling, data representations, optimization and skills to implement practical signal processing technologies for multisensor systems. Graduates specialised in speech and language processing possess tools for statistical language modeling and speech analysis.
  • Advanced programming skills. Graduates master various programming languages and tools, and have the ability to design, implement, test and maintain software systems.
  • Extensive data analysis skills. Graduates have an in-depth understanding of the nature of data and how it can be translated into information by machine learning.
  • Extensive knowledge about the most recent research practicalities. Graduates benefit from the top-notch research led by professors and researchers and have the basis needed to embark on a career in research, should they wish to do so.  

Structure of the studies

Overall, the Master’s Programme in Computer, Communication and Information Sciences - Signal, Speech and Language Processing comprises a total of 120 ECTS credits. The major can be completed either as a long (60 ECTS) or compact (40 ECTS) major. Students taking a compact major take also a master level minor (20-25 ECTS). Students taking a long major may include an optional minor in their elective studies.

The first year lays a foundation for machine learning – a topic common to both specialisation tracks – as well as introduces students to the specialisation area of their choice. In addition to the compulsory part of their track, students can create their own unique study track by selecting optional courses from one or several fields.

Studying in the major has a strong emphasis on practical project work. The aim is to improve industry readiness as well as readiness for scientific work by preparing students to solve real-world problems and providing them with the experience of working in teams through many group exercises. Students also benefit from a flexible learning environment, allowing them to personalise their studies according to their unique interests.

The major offers two different study tracks from which students make their choice upon entering the programme. The two study tracks are:

  • Signal processing. Signals are everywhere – making our devices smart, improving medical imaging and solving essential problems of great societal impact.
  • Speech and language processing. To make devices understand spoken language and seamlessly communicate with humans is one of the great future challenges of our society. Computational modelling of human speech and language opens the door also to the exciting world of human perception and behavior.
Opiskelija Niina Tapanainen talvella Otaniemessä.

Opiskelija Niina Tapanainen: Opiskelen tekniikkaa, koska haluan parantaa ihmisten elämää

Niina valitsi kandivaiheessa informaatioteknologian pääaineen. Hän kannustaa yhdistämään tekniikan ennakkoluulottomasti myös humanistisiin aloihin.



The study environment in the programme is strongly international – studies are conducted in multicultural groups and students are well equipped to embark on an international career. The School of Electrical Engineering offers many possibilities for student exchange and internships all over the world. Students may find themselves taking part in a research project dealing with global phenomena or taking a summer course at one of Aalto's partner institutions, such as EURECOM in Sophia Antipolis, France.

Aalto University is international by nature, welcoming thousands of degree and exchange students from abroad every year. These students join the diverse Aalto community not only through their studies, but also through multiple recreational events, celebrations and extracurricular activities around the campus. Active tutoring programs and support services work hard to help international students integrate to the Nordic culture and feel at home in Finland.

Post-graduate studies

The Master's programme in Computer, Communication and Information Sciences - Signal, Speech and Language Processing at Aalto is considered a great foundation for doctoral studies and post-doc positions.

Career opportunities

Graduates of the programme have an exceptionally wide range of career paths in front of them. As signals  (e.g., images, speech and sound, or measurements from diverse sensor systems) are acquired, processed and transmitted nearly in every imaginable field, graduates may be employed in the health technology, quantitative finance, consumer electronics, or even in the entertainment industry. Common professions include:

  • Researcher within a company
  • Consultant working with various organisations
  • Engineer within a company
  • Founder of a company

Examples of recent startups founded by the graduates are Quuppa and Speechly.

Aalto University has well-established career services to support students’ employment in Finland and abroad. Thanks to the flexible curriculum, many Aalto students already work during their studies and guarantee themselves entry positions before graduation. There is also a very active entrepreneurship community at Aalto, working as a springboard for founding a company.

Tiina Lindh-Knuutila

Kieliteknologia yhdistää alumni Tiina Lindh-Knuutilan mielenkiinnon kohteet

Lingsoftin ratkaisuarkkitehti Tiina Lindh-Knuutilan mukaan kieliteknologian ja koneoppimisen parissa on tarjolla valtavasti mahdollisuuksia erilaisille ihmisille.



Research projects are thoroughly integrated into the studies to foster students’ ability to conduct scientific work. One of the recent projects in the speech recognition research group led to an award-winning campaign, Lahjoita puhetta. The campaign collected as many different types of spoken Finnish as possible in order to enhance the Finnish-language speech recognition.


Besides the wide selection of courses available at Aalto University, students have the opportunity to include courses in their curriculum from other universities – even internationally. The major also regularly welcomes visiting students from other universities. The CCIS (Computer, Communication and Information Sciences) programme is in itself multidisciplinary, encouraging collaboration across disciplines.

Aalto University is well-known for bridging disciplines of business, arts, technology and science. The lively campus and freedom of choosing elective courses across the university bring students from different fields under one roof. This spontaneous multidisciplinary environment sparks new ideas, gathers enthusiasts around them and gives birth to friendships, networks, and every so often, startups.

Study-option-specific application instructions

Contact information


For enquiries regarding the application process, application documents and language tests, please contact [email protected].

School of Electrical Engineering

For enquiries regarding the content of programme, studies at the School of Electrical Engineering and the study-option specific application documents please contact [email protected].

Hakuaika on päättynyt

  • Julkaistu:
  • Päivitetty:
URL kopioitu