At Arcada, we are proud to introduce the new Master's Degree Programme in Big Data Analytics.

The software encompasses all industries today and extraordinary amounts of data are generated with every passing hour. To find patterns in and being able to handle this enormous amount of data opens for better and more precise fact-based decision-making. Companies and organizations have already realized the opportunities this brings and there is a continuously growing demand for trained big data analytics developers today.

These studies give you an in-depth understanding of how to make use of data in order to create insights. The program is arranged so that you rapidly gain a broad understanding of the essential concepts of big data analytics; descriptive and predictive modeling, as well as optimization. The program emphasizes the importance of understanding how to build analytical solutions with production level code.

This program is intended for people with experience in programming and software development, who are curious about and comfortable with solving data-related problems by applying logical and mathematically inspired methods. We welcome applicants who have identified service-development opportunities when using machine-learning methods for taking on challenges in data analytics.

Please note that master students are not entitled to study-related social benefits such as discount tickets for HSL, VR or Matkahuolto unless you are a member of the student union ASK. However, the Kela Meal Subsidy Card is granted to all degree students.

What you will learn

  • Programming for analytical services
  • Data analytics
  • Machine learning
  • Data engineering
  • Data visualization
  • Descriptive data mining
  • Predictive forecasting
  • Automation of prescriptive decisions
  • Data science and verification of model results
  • Planning and development of analytical solutions

Examples of future positions

Graduates will be able to work with a wide range of tasks in various industries. Positions include development and conventional managerial positions, e.g.:

  • Big data analytics developer
  • Big data analytics manager
  • Data engineer
  • Data scientist
  • The principal or senior software developer
  • Head of analytics
  • Head of development
  • Senior analyst
  • Consultant

Take on real-world challenges

As a student, you will be involved in projects connected to real-world problems that include elements of both group work and individual achievements. The focus on real-world challenges emphasizes disruptive problem solving through analytics service development. Communication and business know-how is emphasized both through data visualization and traditional pitching.

A research-oriented environment

Our research covers a wide range of interests in analytics and machine learning that you as a student can benefit from when pursuing your own domain applications. These include malware detection, text analytics (e.g. content classification), network intrusions detection, Internet of things, object recognition in images and video, and financial analytics.

Specialize according to your own interests

The Master’s thesis project (30 ECTS) consists of a development or research project for a client (e.g. your employer) or a collaboration with Arcada’s researchers, followed by a thesis report. In some cases, this can be part of the student's entrepreneurial activities. You start working towards your thesis project immediately and get to show your capability of systematically performing a project with a practically applied problem as a starting point. Based on the development needs of the client/researcher you then develop the thesis project in close co-operation with your supervisor and contact person at the commissioning company.

A solid foundation for your future career

By participating in this master's degree programme you will significantly broaden your opportunities for career advancement. Big data analytics is a horizontal skill that can be applied in most fields as they increasingly become data-driven. You will get the opportunity to learn a broad set of techniques for dealing with data of various types.

Tuition Fees

Non-European Union/EEA: Yes

Please note that applicants from countries outside the European Union/EEA-area are required to pay tuition fees. This master’s degree program, consisting of 60 ECTS, costs 9 000€.

In case a student is unable to complete the degree within the given study time, the student needs to pay 2 000€ per each extra semester until the degree is completed.

No scholarships are offered for master level studies.

Program taught in:
  • English

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Last updated August 20, 2019
This course is Campus based
Start Date
Aug 2020
1 year
10,000 EUR
for non-European Union/EEA-area students
Mar 13, 2020
The application period will be during 2.12.2019-13.3.2020.
By locations
By date
Start Date
Aug 2020
End Date
Application deadline
Mar 13, 2020
The application period will be during 2.12.2019-13.3.2020.

Aug 2020

Application deadline
Mar 13, 2020
The application period will be during 2.12.2019-13.3.2020.
End Date