Data Engineering and Machine Learning

The Master's Degree Programme in Data Engineering and Machine Learning at Tampere University offers students a comprehensive education in the rapidly evolving fields of data management, processing, and intelligent systems. This programme is designed to equip future data scientists and engineers with the theoretical knowledge and practical skills necessary to address complex challenges associated with big data, artificial intelligence, and machine learning applications across various industries. The curriculum emphasizes a multidisciplinary approach, integrating concepts from computer science, statistics, and domain-specific knowledge to foster innovative solutions and data-driven decision-making. Students will engage in advanced coursework covering data collection, storage, analysis, and visualization, along with the development of scalable algorithms and models for predictive analytics, natural language processing, and computer vision. The programme also prioritizes hands-on experience through project work, internships, and collaboration with industry partners, ensuring graduates are well-prepared for the demands of the job market. Tampere University's state-of-the-art research facilities and strong connections with the business sector provide an ideal environment for students to thrive academically and professionally. Graduates of this programme will be prepared for careers in data science, machine learning engineering, data engineering, and related roles in technology companies, consulting firms, research institutions, and organizations undergoing digital transformation. The international orientation of the programme encourages diverse perspectives and prepares students for collaborating in global environments. Upon completion, students will possess a solid foundation in the core principles of data engineering and machine learning, enabling them to contribute effectively to innovative projects that leverage large-scale data and advanced algorithms to create value and insights.

The Data Engineering and Machine Learning studies combine machine learning techniques with efficient implementation skills. The courses combine theory and practice.

In addition to the mathematics of machine learning, real-life deployment skills require an understanding of databases, programming languages, and even hardware design; all aiming at the efficient handling of huge data masses.

We at TUT are committed to keeping our teaching up to date — we use the modern toolset, including the famous scikit-learn and Tensorflow libraries. We also organise machine learning competitions, where students can compete with each other in solving research-level problems. Advanced studies and MSc thesis projects are closely linked to the research activities of our department of Signal Processing.

To become a MSc graduate you will need to complete the degree programme worth 120 ECTS. The modern study methods consist of lectures, exercises, assignments, independent studying and examinations. Courses are worth 90 ECTS and the remaining 30 ECTS are awarded for successfully completing a master's thesis. Each ECTS is equal to an average workload of 27 hours.

It is not possible to apply to a Master’s programme on the basis of a Master’s degree. The only exceptions are the one-tier degree programmes where the first cycle degree is not compulsory and the so-called long cycle degrees.

Applicants who are seeking admission to their first Master’s programme are given preference in the admissions process. Applicants for a second Master’s degree may be admitted only under special provision and only if they are able to show that the courses that count towards a degree at Tampere University of Technology provide the applicant with genuinely new knowledge and skills. 

Applicants are required to demonstrate a high level of proficiency in the English language. TUT accepts internationally recognised academic language tests as demonstration of language proficiency. The accepted tests are IELTS Academic, TOEFL iBT, TOEFL PBT, PTE Academic and CAE/CPE. 

To better further your success in the admission process generally the overall grade (CGPA) of the degree should reach at least 70 %. The CGPA (Cumulative Grade Point Average) is an average of all of your grades for the courses in your previous degree.

Students admitted to a Master’s degree programme may be required to complement their earlier degree with complementary studies. All students with a Finnish University of Applied Sciences (AMK) degree are required to complete a study package which generally includes courses in Mathematics, Physics and Chemistry depending on the student's background. For more information on the complementary studies, please contact the academic coordinator of the degree programme.

The student selection is made by an admissions committee on the basis of the academic qualifications and merits shown in the application documents. Please note that not all applicants fulfilling the requirements can be admitted. 

English language tests

TUT accepts internationally recognised academic language tests as demonstration of language proficiency. The accepted tests are IELTS Academic, TOEFL iBT, TOEFL PBT, PTE Academic and CAE/CPE. Please note that the language test needs to be taken before the application deadline. We cannot accept language tests taken after the application deadline.

If you take the language test close to the application deadline and cannot submit the test results together with the other application documents, please contact the TUT Admissions Office (admissions@tut.fi) for further instructions.

If your language test score is expiring during the application period you should contact the TUT Admissions Office well before it expires.

IELTS Academic (score 6,0)
Tampere University of Technology verifies all IELTS test results from the test organiser. Upload a copy of the IELTS score slip on your application. It is very important that you indicate your IELTS test report number on the application form.

TOEFL (score: TOEFL iBT 79, TOEFL paper based test 550)
When registering for the TOEFL, enter the code of Tampere University of Technology 0599 into the Score Report Recipient field. TUT verifies all TOEFL test results online from the test organiser. Indicate your test score and test date on the application form.

If you have already taken the TOEFL test you will need to request the test organiser to make the test score available to TUT online.

PTE Academic (score 53)
Your online PTE Academic account allows you to send a secure copy of your test scores to Tampere University of Technology online. TUT will then be able to access and verify your test result online. Indicate your test score and test date on the application form.

Cambridge Language Certificate (Proficiency CPE or Advanced CAE)
Upload your test results on your application. Your results will be verified from the test organiser. Include your Candidate's ID and secret code.

Tuition fees for english-taught degree programmes:

• 10 000 € per academic year for the Bachelor’s programme
• 12 000 € per academic year for all Master’s level programmes

For students who are citizens of countries within the European Union (EU), the European Economic Area (EEA) or Switzerland, studies in all degree programmes will remain free of charge. Tuition fees will also not affect those non-EU/EEA students who have the right to permanent residence in Finland (residence permits A, P and P-EU).

TUT offers a generous scholarship programme for fee-paying students. With the help of the TUT scholarship, TUT continues to provide excellent international students with high-quality, yet affordable, education. The TUT scholarship programme consists of the TUT academic excellence scholarship and tuition fee waivers.

TUT academic excellence scholarship

In 2018, TUT is awarding the TUT academic excellence scholarship to up to ten of the most talented applicants. The TUT academic excellence scholarships include a full tuition fee waiver as well as an allowance of 7000 € per academic year to cover living costs. The scholarships are awarded for an academic year and considered on an annual basis.

Tuition fee waivers

The majority of TUT scholarships are awarded as tuition fee waivers to the most talented students. The fee waivers awarded may cover either 50 % or 100 % of the full tuition fee. Tuition fee waivers are awarded during the admissions process or can be earned during the studies. The tuition fee waivers awarded in conjunction with the student admission process are full tuition fee waivers which cover 100 % of the tuition fee. The tuition fee waiver is awarded to a sizeable proportion of the admitted students.

The Master's Degree Programme in Data Engineering and Machine Learning at Tampere University offers students a comprehensive education in the fields of data science, data engineering, and machine learning. The programme is designed to equip students with the theoretical knowledge and practical skills necessary to analyze large datasets, develop advanced machine learning models, and implement data-driven solutions for various industries. The curriculum covers fundamental topics such as data management, statistical analysis, programming, and algorithms, alongside specialized courses in artificial intelligence, deep learning, and data engineering architectures. Students learn to utilize various programming languages, including Python and R, and tools such as TensorFlow, PyTorch, and cloud computing platforms to handle big data challenges effectively.

Throughout the programme, students engage in projects that simulate real-world scenarios, fostering teamwork and problem-solving skills. The programme also emphasizes research and innovation, encouraging students to participate in cutting-edge developments in machine learning and data engineering. Graduates of this programme will be prepared for careers in industries such as technology, finance, healthcare, automotive, and telecommunications, where data-driven decision-making is crucial. The programme typically includes opportunities for internships and collaborations with industry partners, enhancing practical experience and employability. Upon successful completion, students receive a Master's degree in Engineering (MSc), with specializations aligned with their career interests, supported by Tampere University’s strong research environment and extensive network of industry collaborations.