BSc Data Science 36 months Undergraduate Programme By Aalto University |TopUniversities
Programme Duration

36 monthsProgramme duration

Tuitionfee

12,000 EURTuition Fee/year

Starting Month

SepStarting Month

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

The world is increasingly directed by data, and the need for data-driven solutions is present across domains: sustainability and environmental issues, the economy, politics, and medicine and health care.

As one of the English-language majors in the Aalto Bachelor’s Programme in Science and Technology, Data Science will provide you with the skills required to become a digitalisation expert in the fields of trade and industry, science or technology.

Data Science focuses on the study of scientific methods used to extract knowledge from data and build models to reckon with the complex problems of modern knowledge society. It is a multidisciplinary field that employs techniques and theories drawn from the broad domains of mathematics, statistics, machine learning, information sciences and computer science.

These studies emphasise the foundational principles of mathematics, statistics, and computation – all while building a strong background in data science itself. This will not only familiarise you with the existing techniques but will also give you the tools to follow the rapid developments in the field throughout your career.

During your studies in Data Science, you will acquire:

a solid knowledge of mathematics, statistics, information sciences and computing skills in computer programming understanding in the basics of machine learning, statistical analysis and Artificial Intelligence, and how these can be applied and developed skills to manage large volumes of data, make sound inferences from data and optimise processes skills to build data-driven models that provide accurate predictions or make intelligent decisions academic skills in research and writing for further academic studies

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

The world is increasingly directed by data, and the need for data-driven solutions is present across domains: sustainability and environmental issues, the economy, politics, and medicine and health care.

As one of the English-language majors in the Aalto Bachelor’s Programme in Science and Technology, Data Science will provide you with the skills required to become a digitalisation expert in the fields of trade and industry, science or technology.

Data Science focuses on the study of scientific methods used to extract knowledge from data and build models to reckon with the complex problems of modern knowledge society. It is a multidisciplinary field that employs techniques and theories drawn from the broad domains of mathematics, statistics, machine learning, information sciences and computer science.

These studies emphasise the foundational principles of mathematics, statistics, and computation – all while building a strong background in data science itself. This will not only familiarise you with the existing techniques but will also give you the tools to follow the rapid developments in the field throughout your career.

During your studies in Data Science, you will acquire:

a solid knowledge of mathematics, statistics, information sciences and computing skills in computer programming understanding in the basics of machine learning, statistical analysis and Artificial Intelligence, and how these can be applied and developed skills to manage large volumes of data, make sound inferences from data and optimise processes skills to build data-driven models that provide accurate predictions or make intelligent decisions academic skills in research and writing for further academic studies

Admission Requirements

3 Years
Sep

Tuition fees

International
12,000 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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