Qualification awarded: Master of Engineering
Level of qualification: 2nd cycle
Scope: 60 ECTS credits
Duration: 1 year (full-time)
Mode of study: full-time
Language of tuition: English
Programme director: Magnus Westerlund
At Arcada we are proud to introduce the new Master's Degree Programme in Big Data Analytics. This programme will start in autumn 2018 (the application period begins in spring 2018).
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.
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. The studies focus on a combination of problem solving, data processing, identifying opportunities, machine learning, validation, and service development. The scope of the degree programme is 60 ECTS (European Transfer Credit System).
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.
The scope of the degree programme is 60 ECTS (European Transfer Credit System). This includes six courses (á 5 ECTS) and your personal thesis work. Thesis work includes research seminars and substantial personal tuition from our experienced thesis supervisors.
After completing the studies the graduates are able to drive development of analytics solutions in various organisations. They have skills and knowledge to develop models, programming, and business models. Graduates have problem-solving and knowledge-production skills that foster innovative thinking and knowledge-based solutions. He or she will also be able to take responsibility for planning, implementing and monitoring data processing solutions that the commissioning organisation needs.
By participating in this master's degree programme you will significantly broaden your opportunities for career advancement. 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