Download Machine Learning and Data Mining

Master’s Programme in
Machine
Learning and
Data Mining
Master’s Programme in
Machine Learning and Data Mining
Welcome to Macadamia!
The Master’s Programme in Machine Learning and Data
Mining gives students fundamental expertise in some of the
hottest topics in IT and computational sciences.
The two-year programme (120 credits)
leads to a Master of Science with a major
in computer and information science. It
builds on the top research of two national
centres of excellence, in machine learning
and data mining, appointed by the Academy
of Finland.
Studies in Macadamia
The programme covers two important
fields in modern computer science, machine learning and data mining. They allow
computer systems to adapt and to learn by
observing the environment either with the
help of sensors or by browsing large-scale
databases. These methods are applicable to and necessary for a wide variety of
fields. Recent key application areas include
bioinformatics, ecology, natural language
processing, and multimodal interfaces.
In addition to basic theory and
techniques of machine learning and data
mining, and modules and courses on
application areas, the programme covers
e.g. computer vision, neuroinformatics
and language technology. For example,
the advanced study module (20 credits)
concentrates on the analysis and modelling
of signals and complex data sets, and on
their practical applications.
The programme offers also the possibility for a double degree with studies of at
least one semester (30 credits) at a partner
university. Aalto University is a core partner in the European Institute of Technology ICT Labs, which will create further international opportunities for students.
Who should apply?
Admission criteria for the Macadamia programme consist of a high-quality bachelor’s
degree of a minimum of 180 credits in computer science or in a related field (e.g. in information technology, mathematics, physics, statistics or electrical engineering), or
equivalent full-time studies of at least three
years. Applicants should have a solid knowledge of mathematics, basic probability theory and statistics and basic skills in programming, algorithms and data structures.
Additionally, an excellent command in English is required and applicants are expected
to provide a certificate of an official language test (TOEFL, IELTS, CAE or CPE).
Professor Erkki Oja
Prem Raj Adhikari, Nepal
Director of Macadamia
Student (2008)
Data mining and machine learning will be
essential technologies in the computing
environment. The degree obtained enables
the graduates to enter the IT industry in
Finland or anywhere in the world. It also
allows students to continue seamlessly to
doctoral studies. Optional double-degree
studies are offered as well. For the best
Macadamia students, we grant summer
jobs, honours student positions and paid
master’s thesis projects.
There are a lot of advantages in studying
in Finland. There are few universities and
they are world-renowned in their fields.
They focus on research, and students can
learn about the latest developments in their
fields on the well-designed courses. Also,
the typical European standard of living and
the Scandinavian model of social welfare,
high quality of life and security are attractive to foreigners.
Dept. of Information and Computer Science
The department focuses on advanced computational methods for modelling, analysing,
and solving complex tasks in technology
and science. Our research develops fundamental methods for the analysis of large
and high-dimensional data sets and for the
modelling and design of complex computa-
tional systems. The Department hosts two
national Centres of Excellence: the Adaptive
Informatics Research Centre and part of the
Algorithmic Data Analysis Research Centre.
In the Research Assessment Exercise 2009,
the Department was ranked among the top
two departments of Aalto University.
Aalto University
School of Science and Technology
Master’s Programme in
Machine Learning and Data Mining
Konemiehentie 2, FI-02150 Espoo, Finland
Enquiries concerning admission:
[email protected]
Enquiries concerning the content of the programme:
[email protected]
programmes.aalto.fi/masters
Aalto University – an internationally unique concept
What happens when you mix
business, art, science and technology?
Printed 2010
You get a new university which cuts
across traditional academic disciplines
and backgrounds, and which produces
something that is truly unique and new.
Established in 2010, Aalto University
resulted from the merger of three of
Finland’s top universities: The Helsinki
School of Economics, Helsinki University
of Technology and The University of Art
and Design Helsinki. The three schools
of the Aalto University are all leading and
renowned institutions in their respective
fields and in their own right, and bring centuries of experience to the new university.
Welcome to Aalto University.
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