The course requires two academic years of full-time study, and it is recommended to take the modules in the order illustrated below. This way the modules will be divided up evenly to all four terms. You will find more detailed information on each module by clicking the titles.

Programme Outline

Music Psychology (10 ECTS)
In this module you will get acquainted with the key issues that govern psychological and social aspects of musical behaviour. For example, the relationships between music and emotion will be covered. In addition, attention will be paid to social aspects such as musical taste and preferences, musicality, consumer behaviour and music, and the role of music in everyday life.

Music Technology (10 ECTS)
This module will provide you with an understanding of basic theoretical issues related to music technology. The module also contains practical involvement with various types of music technology applications: MIDI, sequencer, notation, digital sound recording and editing, sound analysis, synthesis and manipulation.

Seminar (10 ECTS)
Leader: Petri Toiviainen
The aim of the seminar is to provide the students with knowledge and skills necessary for preparing the Master's Thesis. Specific topics dealt with in the seminar include choosing the research topic, planning and scheduling of thesis work, preparation of literature review, principles of academic writing, presentation skills, and thesis guidelines of the university. The seminar includes preparation of written reports and oral presentations.

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Music Perception (10 ECTS)
With this module you will be provided with an understanding of the key issues that govern the cognitive processes involved in music perception and production. These include history, research areas, approaches, methods, and key findings of the field. The specific themes comprise psychoacoustics, methodologies in music perception, perception of pitch and tonality, grouping, streaming and the perception of melody, perception of rhythm and metre, perception of timbre, and computational modelling

Sound Processing (10 ECTS)
This module aims to familiarise you with the theoretical issues related to digital sound. Practical work on digital sound processing is also contained in the module. The module contains sound analysis, sound manipulation, sound synthesis, and practical work with variious sound processing software.

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Specialization Topics (20 ECTS)
The programme includes optional modules (called Specialization Topics) worth 20 ECTS altogether; the extent of individual courses may vary. The courses can be selected from the following options or they can be replaced by applicable studies offered by the Department of Music, other Departments of the University of Jyväskylä or other (partner) universities. You will generally be required to take options that complement rather than repeat your previous training. Specialization Topics vary from year to year. The Specialization Topics provided by MMT for 2005-2007 are as follows:

Music Information Retrieval (10 ECTS)
This module will provide you with an understanding of the key issues in cognitively oriented algorithmic music analysis. The module consists of key-finding models, rhythm and metre induction models, segmentation models, melodic similarity, content-based classification, and retrieval methods in music.

Culture and Music
Description to be added later.

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Research Methods (10 ECTS)
This module will acquaint you with methods for conducting empirical research in the field of music, mind and technology. You will acquire a working knowledge of relevant data collection and analysis methodologies, including experiment and survey design, and statistical analyses.

Thesis (40 ECTS)
The Thesis module trains the student to carry out research work as well as to write scientific reports. The Thesis project consists of planning, executing and reporting a personal research project, supervised by specifically assigned member of the course team. The Thesis includes a review of the pertinent literature, the aims and the methods used in the project as well as description and critical review of the results.

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Course schedules can be found in Korppi environment.