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M.Eng. Blended

Machine Intelligence and Data Science Arcada University of Applied Sciences

12 months
Duration
12000 EUR/year
Free
Unknown
Unknown
Apply date
Unknown
Start date

About

Are you looking for a programme where you get to take on real-world challenges and design solutions? Would you like to learn a broad set of techniques for dealing with data of various types? Then now is the time to take a leap forward in your career and apply to the master’s degree programme Machine Intelligence and Data Science at Arcada University of Applied Sciences!

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

Language

English

Credits

60 ECTS

Delivered

Blended

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

GRE admission requirements GRE®
150 (verbal)
150 (quantitative)
4 (analytical)

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 now

Starting 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

To always see correct tuition fees
  • International

    12000 EUR/year
    Tuition Fee
    Based on the tuition of 12000 EUR per year during 12 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 EUR per year during 12 months.

Living costs for Helsinki

975 - 1584 EUR /month
Living costs

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.

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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.

Independent provider
Grant
1000000 INR
Deadline
Anytime
Education Future International Scholarship
Merit-based

Read more about eligibility

Education Future
Location not available
Independent provider
Grant
Various benefits
Deadline
24 May 2025
Queen Elizabeth Commonwealth Scholarships
Merit-based Need-based

Read more about eligibility

ACU (The Association of Commonweath Universities)
Location not available
Independent provider
Grant
1000 USD
Deadline
01 Jun 2025
1040 Abroad International Studies Scholarship Initiative
Merit-based Need-based

Read more about eligibility

1040 Abroad
Location not available
Independent provider
Grant
Various benefits
Deadline
Not specified
Erasmus+ - Grants for study mobility
Merit-based

Read more about eligibility

OeAD, Austria's Agency for Education and Internationalisation
Location not available
Independent provider
Grant
7000 USD
Deadline
24 Apr 2025
Go Global MBA Scholarship
Merit-based

Read more about eligibility

educations.com
Location not available
Independent provider
Grant
1000 USD
Deadline
02 Jul 2025
Jewish Heritage Scholarship
Merit-based

Read more about eligibility

Diamant Gerstein
Location not available
Independent provider
Grant
1000 USD
Deadline
26 Feb 2025
Dream Chaser Scholarship
Merit-based

Read more about eligibility

Salvado Law
Location not available
Independent provider
Grant
90000 AUD
Deadline
Not specified
World Universities Ramsay Postgraduate Scholarship
Merit-based Need-based

Read more about eligibility

The Ramsay Centre
Location not available
Independent provider
Grant
3000 USD
Deadline
31 Dec 2025
Scholarship for students with disabilities
Need-based

Read more about eligibility

Anonymous Hope Fund
Location not available
Independent provider
Grant
2000 USD
Deadline
01 Sep 2025
The Rick Blight Leadership in Action Scholarship for Athletes
Merit-based

Read more about eligibility

Canadian Men’s Health Foundation
Location not available
Independent provider
Grant
8000 EUR
Deadline
Not specified
Erasmus Mundus Joint Masters scholarships
Merit-based Need-based

Read more about eligibility

European Commission
Location not available
Independent provider
Grant
3000 USD
Deadline
Not specified
AAPG Foundation Grants-in-Aid
Merit-based Need-based

Read more about eligibility

American Association of Petroleum Geologists Foundation
Location not available
Independent provider
Grant
1000 USD
Deadline
01 Mar 2025
Voice Talent Online Scholarship
Merit-based Need-based

Read more about eligibility

Voice Talent Online
Location not available
Independent provider
Grant
965 USD
Deadline
Anytime
Dr. Martin Blank – SYB Scholarship
Merit-based

Read more about eligibility

Shield Your Body
Location not available

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Machine Intelligence and Data Science
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