Programme

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.

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.

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.

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.

Please visit our study guide Start to see the curricula of this programme.

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
• Consultant