Applied Machine Learning (Master’s Degree)
Field of studies
- Business Administration
- Computer Applications
- Entrepreneurship and Business
- Information and Communication Technology
- IT and ICT
Degree title
- Master of Business Administration (MBA)
Registration periods
- Direct Application 2025, Master's
- Direct Application 2026, Master's
- Finnish Joint Application 2025
- Joint Application 2026
Teaching language
- English
Type of education
- Master’s Degree
Academic level
- Master Level Studies - EQF 7
Campus
- Hämeenlinna
Teaching format
- Multiform Learning
Make a career shift and become an expert in machine learning!
Our goal is to help you build the necessary skills that will prepare you for a future career in machine learning solution development. As a student in the Master's Degree in Applied Machine Learning you will gain a solid theoretical background in machine learning that also reflects the state-of-the-art in the field. On top of this, you also have the opportunity to develop the necessary practical skills to work with data-driven machine learning solutions within the industry after graduation. We aim to give you the tools to thrive in this exciting and rapidly developing field.
Upon completion of this Master's Degree Programme you will become a competent practitioner well-versed in the development and productisation of machine learning models.
The studies in the Master's Degree in Applied Machine Learning are implemented as a combination of on-campus and online studies.
Objective
After graduation you will possess the capabilities required to work in machine learning projects in different roles, developing solutions to real-world use cases. On top of having the skills and knowledge needed for the application of current machine learning methods to different practical problems, you will also be competent to develop the underlying data infrastructure and deploy models to production environments in an optimised and safe manner.
Qualification provided by education
This qualification prepares you to work in the field of machine learning in different industry specific roles, such as Machine Learning Engineer, MLOps Engineer, or Data Scientist.
A master’s degree qualifies you for positions that require a higher education degree. The degree is a fully recognised university degree in Finland as well as abroad, and upon completion provides you with the eligibility to apply for a doctoral degree.
Structure of studies
Studies at Häme University of Applied Sciences are structured around modules (15 ECTS) of studies that focus on specific thematic areas important to the industry. Each module, in practice, contains several courses related to the theme of the module as a whole. Studies in the Master's Degree in Applied Machine Learning (90 ECTS) are organised into mandatory Profiling Competences (60 ECTS) and a Master's Thesis (30 ECTS). More details on the courses contained within this degree programme can be seen from the curriculum.
Module structure, Applied Machine Learning (90 ECTS):
1. Changing Operational Environment and Research-based Development (15 ECTS)
2. Foundations of Machine Learning (15 ECTS)
3. Productisation of Machine Learning Models (15 ECTS)
4. Advanced Machine Learning & Artificial Intelligence (15 ECTS)
5. Master's thesis (30 ECTS)
Masters Degree in Applied Machine Learning is delivered as on-campus studies with a blend of online studies.
A Master’s thesis (30 credits) is a research-based development task on a topic suitable for the degree programme and is based on both theoretical and work-based knowledge. Your thesis aims at solving a question or challenge arising from the world of work, and it is based on research-based development activities. You can complete your thesis work in your work organisation, for example. You will implement the study independently as a work-based project for which you will receive guidance from experienced thesis supervisors. The thesis process includes planning, interim and final seminars, which are carried out online. For theses completed at HAMK, see the Theseus.fi publication archive.
Apply to study
Joint and Rolling Application
Master of Business Administration, Applied Machine Learning, Joint Application
- Application begins:
- Application ends:
- Studies begin:Autumn 2026
- Places of Study:15
More information about the application
Eligibility and Preliminary Assignment
To apply for this program, you need to have both the necessary prior education and work experience and complete a preliminary assignment. More details about eligibility and the assignment can be found here:
Study Methods
Multiform Learning
What is it like to study with us?
3 reasons to study Applied Machine Learning!
Learn to thrive in the rapidly developing industry.
Learn to productise machine learning in the business world.
Elevate your career with new tools and skills.
Studying in Finland
Finland is a great place to study! Here are some information for international applicants:
Studies tailored to you
Your degree consists of 90 credits and includes two core elements:
Part of your degree consists of profiling competence modules, enabling you to build expertise in your chosen direction according to your own goals. These studies offer opportunities to broaden, deepen, and enhance professional skills and personal development.
Profiling competence includes following modules:
1. Changing Operational Environment and Research-based Development (15 ECTS)
2. Foundations of Machine Learning (15 ECTS)
3. Productisation of Machine Learning Models (15 ECTS)
4. Advanced Machine Learning & Artificial Intelligence (15 ECTS)
A Master’s thesis (30 credits) is a research-based development task on a topic suitable for the degree programme and is based on both theoretical and work-based knowledge. Your thesis aims at solving a question or challenge arising from the world of work, and it is based on research-based development activities. You can complete your thesis work in your work organisation, for example. You will implement the study independently as a work-based project for which you will receive guidance from experienced thesis supervisors. The thesis process includes planning, interim and final seminars, which are carried out online.
Explore more about the content of the program and learn about planning your studies at HAMK:
Frequently Asked Questions on Application Process
Application period (Joint Application) begins on January 8, 2025 and ends on January 22, 2025 at 3.00 pm (Finnish time).
The second application period (Direct Application) is February 1-March 31, 2025.
You can fill in the application form during the application period on the Studyinfo website.
Unfortunately, college level degree or vocational higher education degree does not give you the eligibility for apply to master’s degree programme at HAMK.
You are eligible for Master’s Degree studies when you have completed relevant qualification and obtained two years of work experience from the relevant field. Relevant qualification for the programme is
- Tietojenkäsittelyn tradenomi AMK / BBA in Business Information Technology UAS or Foreign Bachelor’s or Master’s Degree that is comparable to the above mentioned qualifications
See the admission criteria from the Studyinfo website. Your eligibility will be checked during the application process based on your degree and work certificates which you have added to the application. If you are unsure of your eligibility and want more information, please contact our admission services.
Please, familiarize yourself with the pre-assignment instructions. We recommend you start doing the pre-assignment well before the application period starts or at the beginning of the application period at the latest so that you have enough time to write it.
Want to ask more?
If you need more information about applying to this programme, please visit here:
Frequently Asked Questions on Studying
One credit (1 ECTS) means about 27 hours of work by the student. You should reserve time for studying every week. It is important to consider in advance do you have time to study. For example, changing job, another place of study or family addition may cause challenges for studies.
With master’s degree you can deepen and broaden your competence. A master’s degree qualifies you for positions that require a higher education degree.
You don’t have to be employed to be able to study. But being at work can support master’s studies because with the studies you can develop your own competences or the processes of your own work organization. Master’s degree studies can give you an opportunity to move towards new careers.
Studying alongside work is possible. It requires you to plan your own time use because it is necessary to set aside time for studies every week. Please check out more detailed information about the programme schedule from the website (Timing of the studies).
No, you can’t complete you studies completely online. Studies are implemented as multiform concept (on-campus and online studies).
You can’t get credit transfers based on your bachelor level studies (university or university of applied sciences). Please discuss with your guidance counsellor about the previously completed studies before applying for the credit transfer.
If you are not a Finnish citizen and have come to Finland for study purposes, the general rule is that you cannot get financial aid from Finland. However, you may qualify for financial aid if you meet the requirements listed Kela’s website. Please read more on Social Insurance Institution of Finland (Kela) website.
Want to ask more?
If you want to ask more about the content of the programme please contact:
Campus
As a student of Applied Machine Learning programme, your home campus will be Hämeenlinna University Centre.
Hämeenlinna University Centre
Our evolving, growing, and modern main campus, Hämeenlinna University Centre, brings together thousands of students and hundreds of employees. Across the expansive campus area, there are versatile facilities and services for studies across various fields as well as for research work.
The Hämeenlinna campus offers around 30 degree programmes and serves as the home campus for all of HAMK’s research units. Additionally, the university centre provides excellent facilities for organising various events for both internal and eternal participants, resulting in frequent activity and bustling events on campus.
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Innovative study options that we offer
At HAMK, we develop new, innovative ways of study. Our goal is to provide you with versatile expertise that you can develop in various directions. We hope to inspire you to try something completely new!
RUN-EU studies
HAMK is part of the RUN-Europe University, comprised of nine European universities. You can leverage the fantastic opportunities provided by RUN Europe University for accumulating international study experiences!
Exchange Studies
Exchange studies are a unique opportunity to explore the world. We encourage all our students to seize the chance and go abroad for an exchange. Will you go too?
HAMK’s Study Selection
We offer you a wide range of studies that you can choose as part of your degree. You can also select modules from other degrees at HAMK. Or why not utilize the expertise you’ve gained previously, for example, from scouting!
Cross-Institutional Studies
As a student at HAMK, you have the opportunity to take courses at other universities as well! It’s called cross-institutional studying, aiming to allow you to study comprehensive units that support your own goals.