24 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data Science is a multidisciplinary discipline of extracting knowledge from all kinds of data, including structured and unstructured, often very large, and computationally demanding data. It employs theories and techniques from the traditional fields of computer science, information sciences, statistics, and mathematics.
In the Data Science programme within the EIT Digital Master School, students learn fundamental principles, techniques, and versatile skills for computational data analysis, scalable data processing and management. After completing the programme, they have all necessary skills for becoming a successful data scientist, one of the top professional careers world-wide. Given a new real world problem, they can identify the underlying computational problems, choose suitable data preprocessing, analysis and modelling methods, tailor and apply the existing algorithms as needed, evaluate validity of the results, and interpret and present them to experts of other fields. At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.
The ICT Innovation programme has separate application periods and admission procedures from the other Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website.
In the Data Science programme within the EIT Digital Master School, students learn fundamental principles, techniques, and versatile skills for computational data analysis, scalable data processing and management. After completing the programme, they have all necessary skills for becoming a successful data scientist, one of the top professional careers world-wide. Given a new real world problem, they can identify the underlying computational problems, choose suitable data preprocessing, analysis and modelling methods, tailor and apply the existing algorithms as needed, evaluate validity of the results, and interpret and present them to experts of other fields. At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.
The ICT Innovation programme has separate application periods and admission procedures from the other Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data Science is a multidisciplinary discipline of extracting knowledge from all kinds of data, including structured and unstructured, often very large, and computationally demanding data. It employs theories and techniques from the traditional fields of computer science, information sciences, statistics, and mathematics.
In the Data Science programme within the EIT Digital Master School, students learn fundamental principles, techniques, and versatile skills for computational data analysis, scalable data processing and management. After completing the programme, they have all necessary skills for becoming a successful data scientist, one of the top professional careers world-wide. Given a new real world problem, they can identify the underlying computational problems, choose suitable data preprocessing, analysis and modelling methods, tailor and apply the existing algorithms as needed, evaluate validity of the results, and interpret and present them to experts of other fields. At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.
The ICT Innovation programme has separate application periods and admission procedures from the other Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website.
In the Data Science programme within the EIT Digital Master School, students learn fundamental principles, techniques, and versatile skills for computational data analysis, scalable data processing and management. After completing the programme, they have all necessary skills for becoming a successful data scientist, one of the top professional careers world-wide. Given a new real world problem, they can identify the underlying computational problems, choose suitable data preprocessing, analysis and modelling methods, tailor and apply the existing algorithms as needed, evaluate validity of the results, and interpret and present them to experts of other fields. At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.
The ICT Innovation programme has separate application periods and admission procedures from the other Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website.
Admission Requirements
6.5+
68+
4.5+
Eligibility: Relevant Bachelor's degree
2 Years
Sep
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