Big Data Analytics gives you an in-depth understanding of how to make use of data in order to create insights. This master's degree programme is arranged so that you rapidly gain a broad knowledge of the essential concepts of big data analytics: descriptive and predictive modelling, and the construction of machine learning pipelines. The programme emphasises the importance of understanding how to build analytical solutions with production level code.
The studies in Big Data Analytics are conducted in a research-oriented environment. Our researchers cover a wide range of interests in analytics and machine learning applications that you as a student or employer can benefit from, when pursuing your own domain applications. These include computer vision, machine learning operations (MLOps), trustworthy artificial intelligence (AI), interaction-based learning, text analytics, Internet of Things, robotics, physics and chemistry applications, and financial engineering.
This programme is intended for people with experience in programming and software development, and two years of relevant working experience. Big data analytics involves a complete method renewal in companies – to learn how to make practical use of machine learning. As a student you will gain new insights, even after years of working. If you are curious about and comfortable with solving data-related problems by applying logical and mathematically inspired methods, then this programme is for you.
This academic year lectures are held on Thursdays and Fridays every second week between 13:00 and 18:00. We are closely monitoring the situation regarding COVID-19 and we will follow the guidelines issued by the government. Changes may thus occur during the following academic year.
What you will learn
- Programming for analytical services
- Data analytics
- Machine learning
- Data engineering
- Data visualisation
- Descriptive data mining
- Predictive forecasting
- Decision automation
- Data science and validation of model results
- Planning and development of analytical solutions
- Analytics value creation
Examples of future positions
Graduates will be able to work with a wide range of tasks in various industries. Positions include development, research, analysis, and managerial positions, e.g.:
- Big Data Analytics Developer
- Big Data Analytics Manager
- Data Engineer
- Machine Learning Engineer
- Data Scientist
- Principal/Senior Software Developer
- Head of Analytics
- Chief Technology Officer (CTO)
- Senior Analyst
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 actual challenges emphasises disruptive problem-solving through analytics service development. Communication and business know-how are emphasised through visual storytelling and value creation.
Specialise 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. 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.
How to apply
Please visit the Application pages for all the information on how to apply.
Tuition fees and scholarships
Please note that applicants from countries outside the European Union/EEA are required to pay tuition fees. This master’s degree programme, consisting of 60 ECTS, costs 10 000 euros. In case a student is unable to complete the degree within the given study time, the student needs to pay 4 000 euros 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 on Arcada's digital study guide Start (External link), but be aware that changes to the content may occur for the next academic year.
Contact us about the programme
We answer anything related to admissions. For other questions, please contact the degree programme director.