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Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The emerging Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis.

In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools.

Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to

  • Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms
  • Apply various computational and statistical methods to analyse scientific and business data
  • Assess the suitability of each method for the purpose of data collection and use
  • Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms
  • Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge
  • Report results in a clear and understandable manner
  • Analyse scientific and industrial data to devise new applications and support decision making.

The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through elective studies in the MSc programme, or it might already be part of your bachelor-level degree.

Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field. You can specialise either in the core areas of data science -- algorithms, infrastructure and statistics or in its applications

You should be able to complete the MSc Programme in Data Science of 120 credits (ECTS) in two years of full-time study. The programme consists of

  • Common core studies of basic data science courses
  • Several modules on specific topics within data science algorithms, data science infrastructures and statistical data science, and on data science tools
  • Seminars and colloquia
  • Courses on academic skills and tools
  • Possibly an internship in a research group or company
  • Studies in an application domain
  • Master’s thesis (30 credits)

Career prospects

Industry and science are flooded with data and are struggling to make sense of it. There is urgent demand for individuals trained to analyse data, including

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Faculty of Science

Pilihan kuliah

Purna Waktu (120 ECTS CREDITS, 2 YEARS)

Biaya kuliah
€15.000,00 (Rp 232.248.960) per tahun
Tanggal mulai

Direncanakan September 2020

Tempat

Kumpula Campus

Gustaf Hällströmin katu 2,

HELSINKI,

Uusimaa,

00560, Finland

Persyaratan masuk

Untuk mahasiswa dari Indonesia

A graduate applicant is a person who already has graduated with the first degree, usually a Bachelor’s degree or equivalent, from a higher education institution. A Bachelor’s degree is the lower academic degree and it takes three to four years of full-time studies to complete. The Bachelor's degree should be in the same field of study they apply for - or closely related to it. The International Master's Programmes may accept applicants with a more varying background. Some programmes may accept students with a Bachelor's degree from a university of applied sciences. English language minimum requirements are as follows: TOEFL PBT (Paper-based) 580; CAE: Pass levels A, B or C; CPE: Pass levels A, B, C or level C1 certificate; PTE academic: 62, with a minimum score of 54 in each communicative skills section (listening, reading, speaking and writing); University Of Helsinki language services: average skills level 5; National Certificate Of Language Proficiency: skills level 5 in the reading comprehension, writing and speaking subtests.

Untuk mahasiswa internasional

You may apply if you meet the following three requirements:

  • You have completed by 31 July 2019 a first-cycle degree (e.g., bachelor’s degree) or second-cycle degree (e.g., master’s degree) or a postgraduate degree in Finland or abroad.
  • You have completed or will complete studies required for the master’s programme by 11 January 2019.
  • You are able to demonstrate your proficiency in English: IELTS academic minimum score of 6.5 with a minimum score of 6.0 in the writing section; TOEFL PBT score of 580; TOEFL IBT score of 92, a minimum score of 22 in the writing section; C1 Advanced (formerly CAE): Pass levels A, B or C, C2 Proficiency (formerly CPE): Pass levels A, B, C or level C1 certificate; PTE Academic minimum score of 62, with a minimum score of 54 in each communicative skills section (listening, reading, speaking and writing).