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Health and Social Services● OpenMastersPreview

Master's Degree in Data Competence and Artificial Intelligence

Advance your expertise in data analysis and artificial intelligence tailored for the changing demands of working life.

Best for:Best for health, social, and working-life professionals looking to integrate data analysis and AI into their domain expertise.

Tampere University of Applied Sciences · Tampere, Finland
More professors at Tampere University of Applied Sciences
artificial intelligencedata analysisdigitalizationdata visualizationethics in AI
This is a masters position — not a PhD studentship.
Deadline
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Location
Tampere
Finland

Overview

Tampere University of Applied Sciences offers a specialized Master's degree program focusing on data competence and artificial intelligence. The curriculum combines theoretical understanding with practical applications, preparing professionals to handle context-specific data and ethical considerations. Students explore advanced topics including digitalization, data processing tools, visualization, and AI methodologies. The program is designed to empower experts across various sectors to leverage data and AI in developing innovative products and services.

data competenceartificial intelligencemaster programhealth caresocial servicesdigital transformationdata processing

What you'll do

  • Complete advanced professional studies totaling 90 ECTS credits focusing on data and artificial intelligence
  • Analyze context-specific data and apply appropriate processing tools
  • Design and execute data analysis and data visualization projects
  • Examine artificial intelligence methodologies and their practical applications
  • Evaluate ethical and responsible considerations surrounding sensitive data and AI technologies

Requirements

Degree required: Appropriate higher education degree or professional background in health care, social services, or related fields

Degree offered: Master's Degree (Master of Health Care or Master of Social Services)

Language: Finnish; proficiency required for studies

Instruction: Finnish

Required skills
  • Ability to identify data needs and application opportunities within one's own professional field
  • Willingness to learn data analysis and visualization techniques
  • Interest in understanding AI applications and methods
Nice to have
Prior experience in social and health care sectors or related working life domainsFamiliarity with digital tools and organizational digitalization processes
Eligibility
  • Meeting the general eligibility criteria for Finnish Universities of Applied Sciences (AMK) Master's degree studies

Funding & terms

Type
Unknown
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Programme
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
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Taught / research mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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How to apply

Applications are submitted through the official Studyinfo portal following the national application guidelines for higher education programs in Finland.

Documents required
  • Educational transcripts
  • Degree certificates
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.