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 in 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, modeling, 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, a new degree programme starting in August 2020.

Information about studies

  • Type: Master's degree
  • Degree earned: Master of Science (Technology)
  • Planned duration: 2 years
  • Extent of studies: 120 ECTS
  • City: Tampere
  • Campus: Hervanta Campus
  • Tuition fee for non-EU/EEA citizens: 12000 €

Study objectives

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.

Study contents

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.

Tuition fees

The tuition fee of the programme is 12,000 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.)

and

  • Human-Technology Interaction (M.Sc.)
  • Human-Technology Interaction (M.Sc. Tech)
  • Software, Web & Cloud (M.Sc.)
  • Software, Web & Cloud (M.Sc. Tech).

At the moment, the studies in the future Machine Learning (M.Sc. tech) programme are conducted in the Master’s degree programme in Data Engineering and Machine Learning. Please note that the Machine Learning (M.Sc. tech) curriculum for 2020-21 will be available in March 2020.

Career opportunities

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

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 at Tampere University.

General eligibility

To be eligible to apply to a Master’s degree programme at Tampere University, you must have

  1. 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 the relevant field for the Master’s degree programme that you’re applying to
    • From an accredited institution of higher education
  2. AND a good command of the English language for academic purposes.

A 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.

Applicants in their final year of the Bachelor’s degree are eligible to apply if the degree will be completed by 31 July 2020. In this case, they may be accepted conditionally.

Applicants with a Master’s degree may be admitted only well-founded reasons and only if they are able to show that the new degree at Tampere University provides the applicant with significant new knowledge and skills.

Programme-specific eligibility criteria

The previous degree should be from a field closely related to the Master's programme you are applying to. In the Master’s programme in Computing Sciences, Machine Learning (MSc tech) track, the previous degree has to be in one of the following (or highly related) fields:

  • Computing, information technology, computer science, electrical engineering, software engineering or applicable field of engineering with proficiency in mathematics, physics and elementary programming skills.

Applicants who have completed their degree in Finland must meet the minimum cumulative GPA set by the programme to be eligible. The minimum is the same as in the admission to the same Master’s degree programme offered in Finnish.

  • Minimum GPA for bachelor's degree completed in a Finnish University of Applied Sciences (AMK): 3,20/5
  • Minimum GPA for bachelor's degrees completed in a Finnish university (yliopisto): 2,80/5

When counting the cumulative GPA weighted by ECTS only the courses (include thesis) with numeric grade value are taken into account. Applicants in their final year of Bachelor’s degree must meet the minimum cumulative GPA when applying and after graduation.

Language skill requirements

All applicants must submit evidence on a good command of English for academic purposes. There are two ways of indicating English language proficiency: language tests and previous studies.

The minimum English language test result requirements

Test name & Minimum test result

  • TOEFL iBT: 92 overall, with no section below 20
  • IELTS (academic): 6.5 overall, with no section below 5.5
  • PTE (academic): 62 overall, with no section below 42
  • C1 Advanced: C
  • C2 Proficiency: C1
  • Finnish National Certificate of Language Proficiency (English): Proficiency level 5

*The previous CAE and CPE have been renamed as C1 Advanced and C2 Proficiency.

Previous studies

It is possible to be exempted from submitting a language test score if you have completed particular studies listed by Tampere University. Only these studies are accepted. If you apply without a valid language test result, carefully examine the exemptions.

Intake

A maximum of 145 students is 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) and Software, Web & Cloud (MSc tech), and Statistical Data Analytics (MSc).

Admission procedure

Students are selected to the programme from those applicants who submit a complete application (application and 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.

All students with a degree from a Finnish University of Applied Sciences (AMK) are required to complete a study package which generally includes courses in Mathematics, Physics and Chemistry depending on the student's background. Admitted students will be informed on these studies in detail when the studies start in the autumn of 2020.

Scoring

The number of eligible applicants annually exceeds the number of students that can be accepted. The student selection is made by an admissions committee on the basis of the academic qualifications and merits shown in the application documents.

In this programme, applicants are ranked based on the admission points they receive for previous qualifications, English language skills and other relevant factors that support the application.

Admission points (maximum 100 points) are given in the following categories:

  • Previous qualifications maximum 60 points
  • English language skills maximum 10 points:
    • 5 points: e.g. TOEFL 92 / IELTS 6,5 and if proven by previous studies accepted by Tampere University
    • 10 points: e.g. TOEFL 103 or higher / IELTS 7,5 or higher
  • Other relevant factors that support the application maximum 30 points
  • CV/Résumé and the motivation letter submitted with the application constitute the basis of admission points given in this category.

How to apply

Application step-by-step checklist
  1. Check the general eligibility and programme-specific eligibility criteria of the programme/s you wish to apply. You are allowed to apply three programmes at the same time.
  2. Read through the instructions on how to apply and start preparing your application documents as early as possible!
  3. Take a language test if required, please see the language requirements.
  4. When the application period opens, fill in the online application at Studyinfo.fi during the application period and upload required enclosures for the application. Application period 4 December 2019 at 8:00 GMT+2 - 15 January 2020 at 15.00 GMT+2.
  5. Upload all required enclosures and send the educational documents by post, according to the country specific-requirements if applicable. Documents must reach Tampere University Admissions Office by 31 January 2020 at 15.00 GMT+2. The documents must reach the University by the given deadline.
  6. Wait for the admission results to be announced in early April 2020.
  7. If you are offered a study place, remember to accept it by the given deadline.
  8. Pay the tuition fee, if required. Start preparing your arrival in Finland.
  9. Register as a student and join the Tampere University community!
Online application form

The online application form will be available during the application period only at Studyinfo.fi. The application period starts on 4 December 2019 at 8 am (GMT+2) and ends on 15 January 2020 at 3 pm (GMT+2).

Enclosures

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 31 January 2020.

There are no programme-specific enclosures when applying to this programme.

Admission results and appeals

Admissions results will be announced in early April 2020. All applicants will be informed about the admissions results.

Program taught in:
  • English (US)
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Last updated October 3, 2019
Start Date
Aug 2020
Duration
2 years
Full-time
Price
12,000 EUR
Per academic year for non-EU/EEA students.
Deadline
Jan 15, 2020
Application period: 4 December 2019 – 15 January 2020
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Start Date
Aug 2020
End Date
May 2022
Application deadline
Jan 15, 2020
Application period: 4 December 2019 – 15 January 2020

Aug 2020

Location
Application deadline
Jan 15, 2020
Application period: 4 December 2019 – 15 January 2020
End Date
May 2022