Aalto Bachelor's Programme in Science and Technology - Data Science

Degree:

Tekniikan kandidaatti.
More information.

ECTS:

180 ECTS

Field of Study:

Technology and Engineering

Duration:

3 years, full-time

Eligibility:

Such secondary education which gives an applicant eligibility for university studies in an applicant´s own home country.
More information.

Tuition fees & scholarships:

12 000 € for non EU/EEA citizens. More information.

Language of Instruction:

English
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Organising school/s:

School of Science

Application period:

2018-01-09 - 2018-01-24

Publication of Results:

2018-06-28

Data Science

Data science gives you the foundations to become a top-level expert in the modern knowledge society. You will obtain the required skills to solve real-world problems using methods of algorithm design, machine learning, artificial intelligence, statistical inference, operations research, and optimization.

Data science is one of the majors in the new Bachelor’s Programme in Science and Technology available in English. It is a multidisciplinary field focusing on the study of scientific methods used to extract knowledge from data and build models that cope with complex problems. It employs techniques and theories drawn from the broad areas of mathematics, statistics, information sciences, and computer science.

The Data Science Bachelor is a response to the growing importance of data science and artificial intelligence in technology and economy. Data-driven approaches are becoming increasingly important in science, technology, and business, and are accelerating advances in a broad range of disciplines, from finance to biology and from health to sustainability and climate, to name only a few.

The Data Science Bachelor will provide you with skills required to become a top-level digitalization expert for trade and industry, science or technology. After completing your studies, you will be able to manage large volumes of data, make sound inferences from data, and build data-driven models that make accurate predictions or take intelligent decisions.

Throughout the studies, emphasis is put on the foundation of mathematics, statistics, and computation, and building a strong background in data science, which will not only educate you with the existing techniques, but will also allow you to follow the developments in this rapidly-evolving area.

 

You will get the following skills related to the computational foundations of data science:

  • programming
  • data structures
  • algorithms
  • machine learning
  • artificial intelligence
  • data mining
  • data management (relational algebra, big data platforms)
  • visualization
  • network analysis, and more

 

You will also learn the following skills in the mathematical foundations of data science:


  • discrete mathematics
  • multivariate calculus
  • linear algebra
  • logic and constraints
  • matrix analysis
  • optimization
  • mathematics of computation, and more

 

And finally, you will learn the following skills related to the statistical foundations of data science:

  • probability and statistics
  • statistical inference
  • empirical data analysis
  •  statistical modeling
  • prediction and time-series
  • design of experiments, and more

 

The studies in Data Science also include gaining hands-on experience and participating in team projects to develop technical and team-working skills, and learning how to bring the discipline theory into practice.

This Bachelor’s Degree gives you a solid basis for further studies in the Aalto University Master’s Programmes, for example majors in Computer, Communication and Information Sciences (CCIS), Mathematics and Operations Research, Life Science Technologies, and Electrical Engineering. As a student in the Data Science major, you are entitled to continue your studies at the Master’s level.

 

Tuition fees and scholarships


Non-EU/EEA students selected to the Data Science major will be charged tuition fees. They are eligible to apply for scholarships awarded from the Aalto University Scholarship programme.

See further information on scholarships and fees >>

 
 

Page content by: | Last updated: 20.11.2017.