Make big sense of big data
Big data and data-driven methods are at the centre of modern computer science, statistics and computer engineering and hold great promise for the future.
Experts on analyzing data are needed for solving challenging data-driven problems such as understanding of text documents, conversation and social media; creating intelligent search engines; finding data-driven insights into phenomena of society, economy and culture; creating data-driven solutions for medical and biological problems, and enabling self-driving cars and autonomous robots.
Tampere University offers three related tracks that involve analysis, modelling, prediction, and computation with big data: Data Science (M.Sc.) and Statistical Data Analytics (M.Sc.) tracks focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, Machine Learning (M.Sc. Tech) track focuses on engineering accurate predictive machine learning models.
Machine Learning is an engineering programme, where the particular emphasis is on implementing machine learning algorithms with an application-oriented focus, with applications related to imaging, audio or other sensor data. We study both classical and novel deep learning models as well as their software and hardware implementations. Machine learning is the core technology of artificial intelligence (AI) and currently one of the hottest topics in information technology job markets.
Machine Learning (M.Sc. Tech) track is one of the seven tracks in the Master’s degree programme in Computing Sciences.
Information about studies
Type: Master's degree
Degree earned: Master of Science (Technology)
Planned duration: 2 years
Extent of studies: 120 ECTS
Campus: Hervanta Campus
Tuition fee for non-EU/EEA citizens: 12000 €
Applicants can apply to take a Master of Science degree and/or a Master of Science (Tech) degree in. Please check carefully the eligibility criteria of the track you are interested in.
Machine learning is needed for solving problems related to artificial intelligence, such as detection of objects in images, estimating the age of a person, translating speech to text or recognizing the speaker, making robots to learn to navigate or handle objects, autonomous cars, and social robotics.
Our major studies in Machine Learning combine modern machine learning techniques with efficient implementation skills. Real-life deployment skills are not only about the mathematics of machine learning but also require an understanding of databases, programming languages and even hardware design; all aiming at the efficient processing of huge data masses, with the best algorithms brought by modern machine learning.
More about the language of instruction
The official language of the programme is English, meaning that all the courses, exams and student services are arranged in English. Consequently, proficiency in both written and spoken English is an absolute prerequisite. Students are required to submit an approved certificate of their language proficiency when applying for admission. Students are also required to complete a course in the Finnish language. It provides them with an introduction to everyday Finnish and Finnish culture.
The machine learning courses cover both theory and practice. They address a wide spectrum of machine learning techniques in classification, regression, unsupervised learning and reinforcement learning (robotics) settings. We are committed to keeping the module up-to-date with the rapid advancements made in the field. We use modern tools, including the famous scikit-learn and Tensorflow libraries. On some courses, we also organise machine learning competitions where students solve research problems.
Tampere University offers students the opportunity for a broad, cross-disciplinary education. A rich variety of minor studies and supplementary courses are available as well as the opportunity to concentrate purely on major studies. In fact, each degree is a unique combination of studies that the individual student has found most interesting.
The tuition fee of the programme is 12000 euros per academic year for non-EU/EEA students with a scholarship system for fee-paying students.
Structure of studies
Master’s degree comprises of 120 ECTS credits. Each ECTS credit is about 27 hours of student work. Depending on the track, courses are worth 80-90 ECTS, and the remaining 30-40 ECTS are awarded for successfully completing a Master’s thesis. The duration of the programme is two years. Students usually spend three semesters completing courses and one semester preparing the Master’s thesis. The studies start in late August, and the academic year ends in late May.
Master’s degree programme in Computing Sciences consists of seven study tracks, leading either to Master of Science, or Master of Science in Technology degree:
Data Science (M.Sc.)
Machine Learning (M.Sc. Tech)
Statistical Data Analytics (M.Sc.)
Human-Technology Interaction (M.Sc.)
Human-Technology Interaction (M.Sc. Tech)
Software, Web & Cloud (M.Sc.)
Software, Web & Cloud (M.Sc. Tech)
After completing the programme, you will be qualified to pursue a wide range of career opportunities in different fields of technology. The skills of data-driven problem solving are in high demand. This can be seen, for example, in surveys that demonstrate that data and machine learning engineers are among the highest-paid of all professional programmers. Tampere is a vibrant industrial hub for various types of companies with needs for machine learning experts.
Graduated Master’s of Science typically find employment in research, design, development, production and operating tasks, or commercial and administrative tasks relating to the field, without excluding abilities to work as a researcher, teacher or manager.
Following the successful completion of the programme, graduates are also eligible to apply for entrance to doctoral programmes in Finland and abroad.
Co-operation with other parties
In addition to studies in your own degree programme, you may take advantage of the teaching offered by the Tampere higher education community in various fields.
Eligibility criteria in the Master's degree programmes consist of two parts: Tampere University's general eligibility criteria, and programme-specific eligibility criteria, which specify and/or add information to the general criteria. You must meet both to be considered eligible. Applicants who do not meet both the general eligibility and the programme-specific eligibility criteria will not be selected as students in Tampere University.
To be eligible to apply to a Master’s degree programme at Tampere University, you must have:
Bachelor’s degree - nationally recognized first cycle degree
which corresponds to at least 180 ECTS (European credits) or to three years of full-time study
from a relevant field for the Master’s degree programme that you’re applying to
from a recognised institution of higher education
The Bachelor’s degree completed in a university outside Finland must provide eligibility for university-level master’s degree studies in the country in which it was awarded.
AND a good command of the English language for academic purposes.
Applicants in their final year of the Bachelor’s degree are eligible to apply if the degree will be completed by 31 July 2021. In this case, they would be accepted conditionally. Please see special instructions for applicants in the final year of the Bachelor's degree.
Admission to studies leading directly to a master's degree will be based on the applicant’s bachelor's degree conferred by a university or a university of applied sciences. Depending on programme-specific admission requirements, the programme may take into account skills previously acquired by applicants when considering applications.
A previously completed master’s degree will not make applicants ineligible for admission. However, applicants who are applying for admission to pursue a second master’s degree will only be admitted for particularly weighty reasons.
Programme specific eligibility criteria
Each Master's degree programme can define more detailed eligibility criteria including, for example, more specific requirements of the applicant's previous education. These criteria will be decided and published yearly for the following application round.
The previous degree should be from a field closely related to the Master's programme you are applying to. To be eligible to apply to the Machine Learning (MSc tech) track, you must hold a bachelor’s degree or equivalent in one of the following (or closely related) fields: computing, information technology, computer science, electrical engineering, software engineering or applicable field of engineering with proficiency in mathematics and physics and elementary programming skills.
For applicants who have completed their degree in a University of Applied Sciences (AMK) or a University in Finland the required minimum GPA is the same as in the admission to the Master’s degree programmes offered in Finnish.
Minimum GPA for bachelor's degree completed in a Finnish University of Applied Sciences (AMK)
Minimum GPA for bachelor's degrees completed in a Finnish university (yliopisto)
An admission score will be calculated for all applicants who meet the minimum requirements. When counting the unrounded GPA weighted by ECTS only the courses (incl. thesis) with numeric grade value are taken into account.
If you have not yet graduated from your current institution, you may receive a conditional offer of admission. The offer will be withdrawn if your final GPA falls below the minimum requirements.
Language skill requirements
When applying to a Master’s programme at Tampere University, you must submit evidence of your good command of the English language for academic purposes. You have two options of demonstrating your English language proficiency: language tests or previous studies.
In both cases, you must submit a document as proof of language skills.
English language tests and the minimum result requirements:
Minimum test result for Bachelor's programmes at Tampere University
TOEFL iBT/TOEFL iBT Special Home Edition
92 overall with no section below 20
IELTS (academic) /IELTS Indicator
6.5 overall with no section below 5.5
62 overall with no section in Communicative Skills below 42
Finnish National Certificate of Language Proficiency (English)
Proficiency level 5
*The previous CAE and CPE have been renamed as C1 Advanced and C2 Proficiency
It is possible to be exempted from submitting a language test score if you have completed particular studies listed by Tampere University that demonstrate your good command of English for academic purposes. Only studies that fulfil the criteria will be accepted so if you apply without a valid language test result, carefully examine the exemptions listed by Tampere University and how to submit documents.
145 students are admitted to the Computing Sciences programme.
The Computing Sciences programme includes the following tracks: Data Science (MSc), Human-Technology Interaction (MSc), Human-Technology Interaction (MSc tech), Machine Learning (MSc tech), Software, Web & Cloud (MSc), Software, Web & Cloud (MSc tech) and Statistical Data Analytics (MSc).
Students are selected to the programme from those applicants who submit a complete application (application and sufficient application documents by the deadline) and fulfil the official eligibility criteria.
The student selection is made by an admissions committee based on the academic qualifications and merits shown in the application documents. Please note that not all applicants fulfilling the requirements can be admitted.
Students admitted to a Master’s degree programme may be required to complement their earlier degree with complementary studies. The complementary studies will be decided at the faculty case by case (maximum 60 ECTS credits).
The number of eligible applicants annually exceeds the number of students that can be accepted. The student selection is made by an admissions committee based on the academic qualifications and merits shown in the application documents.
In the selection process, the following judgmental requirements are evaluated as a composite:
High enough academic performance in Bachelor degree studies.
The applicants must show strong motivation to study the key topics of the programme and interest to work in an interdisciplinary area.
Having completed the MOOC course “Introduction to Sustainable Digital Life” will be considered as an advantage. The course opens 15th October 2020 and the applicant must complete the MOOC course by latest 28th February 2021 (23:59 p.m. GMT+2). All assignments must be submitted by this date to be considered. It is not possible to submit any documents after the deadline as the course closes on this day.
How to apply
Check the general eligibility and programme-specific eligibility criteria of the programme/s you wish to apply. You are allowed to apply to three programmes at the same time.
Read through the instructions on how to apply and start preparing your application documents as early as possible!
Take a language test if required, please see the language requirements.
When the application period opens, fill in the online application at Studyinfo.fi during the application period and upload the required enclosures to the application. The application period is 9 December 2020 at 8.00 GMT+2 - 13 January 2021 at 15.00 GMT+2.
Upload all required enclosures and send the educational documents by post to Tampere University Admissions Office within two weeks, by 27 January 2021 at 15.00 GMT+2. The documents must reach the University by the given deadline and they must be delivered according to the country-specific requirements, if applicable.
Remember to apply for a scholarship, if applicable.
Wait for the admission results to be announced at the end of March 2021.
If you are offered a study place, remember to accept it by the given deadline. Pay the tuition fee if required.
Start preparing for your arrival in Finland well in advance.
Register as a student and join the Tampere University community when the studies start in August 2021!
Online application form
The online application form will be available only during the application period only at Studyinfo.fi. The application period starts on 9 December 2020 at 8 am (GMT+2) and ends on 13 January 2021 at 3 pm (GMT+2).
You will need to upload copies of all required documents as enclosures on the application form. In addition to the general application enclosures, some programmes have listed additional programme-specific enclosures that are needed when applying to these programmes.
You will need to upload all required enclosures on your application form online at Studyinfo.fi. In addition to uploading, you must submit officially certified copies of your educational documents to Tampere University Admissions Office by post. Applicants whose degrees have been awarded in certain countries need to pay special attention to the documentation and documents from these countries must be submitted in a particular way. These country-specific requirements must always be followed first and foremost, prior to the regular requirements.
Applicants must post the educational documents to Tampere University Admissions Office so that they arrive by 27 January 2021 at 15.00 GMT+2. You can find the list of the required general application enclosures and further instructions on the Application documents webpage.
There are no programme-specific enclosures when applying to this programme.
However, there are programme-specific questions on the application form and you will be asked to provide:
Contact information for two academic/professional persons who can provide recommendations for you. Please give the name, organisation, position and contact information including an e-mail address that if needed, we may contact them.
Skype contact information. Please note that only a selection of applicants may be interviewed.
Admission results and appeals
Admissions results will be announced at the end of March 2021. All applicants will be informed about the admissions results.