Overview
This Machine Intelligence and Data Science programme (MIND) at Arcada University of Applied Sciences 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 emphasizes the importance of understanding how to build analytical solutions with production level code.
The studies in Machine Intelligence and Data Science (MIND) 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. Machine Intelligence and Data Science (MIND) 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.
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
- Consultant
Programme Structure
Courses include:
- Analytics
- Machine Learning for Predictive Problems
- Visual Analytics
- Machine Learning for Descriptive Problems
- Big Data Analytics
- Analytical Service Development
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Data Science & Big Data View 17 other Masters in Data Science & Big Data in FinlandWhat students do after studying
Academic requirements
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Arcada University of Applied Sciences and/or in Finland, please visit Student Insurance Portal.
Other requirements
General requirements
- To be eligible to apply to Big Data Analytics, you must have a suitable bachelor's degree in Information Technology, Computer Science or a similar field deemed to include sufficient technical skills and scientific rigor (however, prior studies must include a minimum of 30 ECTS in programming subjects).
- All applicants must, in addition to the requirements listed above, have a minimum of two years (24 months) of relevant work experience gained after the completion of the bachelor's degree in order to meet the eligibility criteria.
Tuition Fee
-
International
12000 EUR/yearTuition FeeBased on the tuition of 12000 EUR per year during 12 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per year during 12 months.
Living costs for Helsinki
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Machine Intelligence and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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