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The Master's degree programme in

Big Data Analytics


Master of Engineering




1 year



Language profile


The Degree Programme in Big Data Analytics is taught in English.


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 programme, consisting of 60 ECTS, costs 10 000€.  Applicants that accept their study place within two weeks after receiving their study place offer, get an early-bird discount worth 4 000€ for the first academic year.

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.


You can familiarize yourself with the current curriculum and courses below, but keep in mind that changes might be made for the next academic year.

More detailed information about the degree programme can also be found at Arcada’s digital study guide


Due to the ongoing pandemic we aim to enable students to study the programme at distance. We will provide lecture streams for our students, at least during the autumn term and are monitoring the situation for the spring term as well. Note, that we ask students to actively participate during lectures and therefore request that they have a working system, incl. a microphone and possibly a camera.

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 organisations 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 programme is arranged so that you rapidly gain a broad understanding of the essential concepts of big data analytics; descriptive and predictive modelling, as well as optimization. The program emphasizes the importance of understanding how to build analytical solutions with production level code.

This programme 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.

Apply to this programme

Apply to the master's degree programme

Apply during 15 December 2020 -  25 February 2021

20 study places!

Apply now!

Additional education offers

Specialisation studies

Arcada offers small and versatile education packages called specialisation studies. These studies often consist of 3-6 courses bundled together. Read more

In short

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
  • 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 includes 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 knowhow 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 students 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.

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The Department of Business Management and Analytics

Exciting opportunities, a truly international atmosphere and business contacts are key when it comes to the degree programmes within The Department of Business Management and Analytics. Here you will find over 700 MBA, BBA and engineering students that are preparing themselves for the modern business world.

At our department, researchers, teachers and students work side by side in different research, development and innovation projects. We aim to produce solutions for the business world and co-operate with various companies. One of our new priority areas is business development and information analysis, in which we collaborate extensively with Åbo Akademi University.


Magnus Westerlund, D.Sc.

Degree Programme Director

Linn Hongell

Acting Head of Department

+358 294 282 524


Anton Akusok

Lecturer, researcher


Leonardo Espinosa Leal

Lecturer, researcher


Do you have questions about admissions?

Contact admissions service:

Phone: +358 (0)294 282 699 (Arcada switchboard)