Overview
Digitalisation is rapidly reshaping society and organisations, driving the demand for new competencies in the workforce. To thrive in this evolving landscape, professionals across industries need to enhance their data skills, recognize AI opportunities, and navigate ethical considerations.
Our Master's degree in Data Expertise and Artificial Intelligence prepares you to excel in specialist and development roles where data and AI are central, or where these technologies will drive future innovation.
Throughout the program, you'll learn to identify data needs and explore data utilization opportunities within your field. You'll develop skills in data analysis and visualization, while gaining hands-on experience with AI methods and applications. No prior ICT knowledge is required to embark on this journey.
Programme Structure
Core advanced professional courses include:
- Technologies of Digitalization
- Data Collection and Processing
- Data Analysis and Visualization
- Artificial Intelligence and Methods
- Utilization of Artificial Intelligence
- AI Applications
The degree prepares you to excel in specialist and development roles where data and AI are central, or where these technologies will drive future innovation.
Throughout, you'll learn to identify data needs and explore data utilization opportunities within your field. You'll develop skills in data analysis and visualization, while gaining hands-on experience with AI methods and applications. No prior ICT knowledge is required to embark on this journey. Study time is 1 year, containing 1 intensive week at TAMK at the beginning of studies. Rest of the lectures, seminars, coworking in groups and individual tasks take place online. The programme does not have the required amount of contact teaching to allow for immigration to Finland.
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Both engineering and business degrees include a development project related to data and/or artificial intelligence (30 credits) as a thesis advanced professional studies (30 credits). Business degree continues with optional advanced professional studies (30 credits). TOTAL scope 60/90 ECTS credits.
Delivered
Disciplines
Business Administration Data Science & Big Data Artificial Intelligence View 3 other Masters in Data Science & Big Data in FinlandWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
Completed Bachelor from a relevant field, Engineering or Business Administration, or other suitable Bachelor level degree.
Work experience
Data Expertise and Artificial Intelligence is a professional mid-career Master’s degree and requires 2 years (24 months) of documented working experience after Bachelor’s.
Tuition Fee
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International
12000 EUR/yearTuition FeeBased on the tuition of 12000 EUR per year during 18 months.
Funding
Planning a budget for your studies is important as all the students at Tampere University of Applied Sciences must fund their studies and living expenses themselves. Make sure that you have adequate funding and enough of financial means to pay for possible tuition fees, your studies and living expenses for the entire period of your study. TAMK offers scholarship options for all students who are subject to tuition fees.
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 Data Expertise and Artificial Intelligence.
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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