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Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



Read less
Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

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.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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Big Data and Data Engineering. Big data has turned out to have giant potential, but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Read more

Big Data and Data Engineering

Big data has turned out to have giant potential, but poses major challenges at the same time. On the one hand, big data is driving the next stage of technological innovation and scientific discovery. Accordingly, big data has been called the “gold” of the digital revolution and the information age. On the other hand, the global volume of data is growing at a pace which seems to be hard to control. In this light, it has been noted that we are “drowning in a sea of data”.

Faced with these prospects and risks, the world requires a new generation of data specialists. Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management and data analysis. Providing you with up-to-date knowledge and cutting-edge computational tools, data engineering has everything that it takes to master the era of big data.

Program Features

The Data Engineering program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. The two-year program offers a fascinating and profound insight into the foundations, methods and technologies of big data. Students take a tailor-made curriculum comprising lectures, tutorials, laboratory trainings and hands-on projects. Embedded into a vibrant academic context, the program is taught by renowned experts. In a unique setting, students also team up with industry professionals in selected courses. Core components of the program and areas of specialization include:

- The Big Data Challenge

- Data Analytics

- Big Data Bases and Cloud Services

- Principles of Statistical Modeling

- Data Acquisition Technologies

- Big Data Management

- Machine Learning

- Semantic Web and Internet of Things

- Data Visualization and Image Processing

- Document Analysis

- Internet Security and Privacy

- Legal Aspects of Data Engineering and Data Ethics

For more details on the Data Engineering curriculum, please visit the program website at http://www.jacobs-university.de/data-engineering.

Career Options

Demand for data engineers is massive – in industry, commerce and the public sector. From IT to finance, from automotive to oil and gas, from health to retail: companies and institutions in almost every domain need experts for data acquisition, data management and data analysis. With an MSc degree in Data Engineering, you will excel in this most exciting and rewarding field with very attractive salaries. Likewise, an MSc degree in Data Engineering allows you to move on to a PhD and to a career in science an research.

Application and Admission

The Data Engineering program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.

Scholarships and Funding Options

All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.

Campus Life and Accommodation

Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do. In addition, Jacobs University offers accommodation for graduate students on or off campus.



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There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more. Read more

There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more.

A key challenge is then to make use of this wealth of data. How can we manage this data, and analyse it to exploit useful information that can guide decision making?

This emerging area goes under the name “Data Science”. There is growing demand for people, “Data Scientists”, who have the skills to manage and analyse enormous amounts of data using a range of techniques such as data mining, statistical techniques, and machine learning.

Data Scientist has been called the “Sexiest job of the 21st century”, and the unique combination of technical skills (stats, data management) and business understanding has been said to make Data Scientists “highly sought after and highly paid”.

Master of Business Data Science (MBusDataSc)

The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).

The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.

Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.

Degree Structure

The programme of study shall consist of seven 20 point taught papers together with a 40 point applied project or research project. Papers are either taught in semester one, semester two or are full-year papers. 

You must complete:

INFO 424 - Adaptive Business Intelligence  

COSC 430 - Advanced Database Topics

INFO 411 - Machine Learning and Data Mining

MART 448 - Advanced Business Analytics  

INFO 420 - Statistical Techniques for Data Science

INFO 408 - Management of large scale data

BSNS 401 - The Environment of Business & Economics

Plus one of the following project papers

BSNS 501 - Applied Project  

or

BSNS 580 - Research Project (for students who may wish to progress to PhD study)

Graduate Profile

The University of Otago coursework masters programmes provide you with an opportunity to specialise in advanced study with a focus on either applied practical or academic research.

Graduates of the MBusDataSc will gain skills in three areas: those relating to the business and organisational context, those relating to computing technologies for managing data, and those relating to data analysis techniques.

As a graduate of the MBusDataSc you should be able to:

  1. Understand where data analysis is used in business
  2. Identify opportunities to use data to improve decision making in a business context
  3. Be aware of ethical and privacy implications, concerns, and approaches to mitigating these, including the ability to identify potential areas of concern, and recommend appropriate mitigation actions
  4. Use appropriate means of communicating the results of analysis in graphical form
  5. Develop and maintain databases, including familiarity with performance management for large databases
  6. Have knowledge of a range of data storage and manipulation technologies (such as relational databases, NoSQL, XML), and the ability to select an appropriate technology for a given context and need
  7. Use high performance computing tools (including cloud computing) to manage and analyse data
  8. Be familiar with a range of data analysis approaches (e.g. statistical techniques, data mining, data warehousing), and be able to to select and apply these techniques to suit the context
  9. Develop an appreciation of the concept of ethics from multicultural perspectives, including Māori development aspirations and also an international business environment


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Learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. Data plays a role in almost every scientific discipline, business industry or social organisation. Read more

Learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms.

Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we don’t even know we have. There is therefore an urgent need for data scientists in whole array of fields. In the Master’s specialisation in Data Science you’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.

Although this Master’s is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.

Why study Data Science at Radboud University?

- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.

- We’re leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.

- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.

- Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).

- The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.

See the website http://www.ru.nl/masters/datascience

Admission requirements for international students

- A proficiency in English

In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:

- TOEFL score of >575(paper based) or >90 (internet based)

- IELTS score of >6.5

- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data:

- To come up with a creative and useful solution.

- To find or program the right tool to turn the data into knowledge.

- To communicate the obtained findings to others.

By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.

The job perspective for our graduates is excellent. Industry desperately needs data science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. A few of our graduates decide to go for a PhD and stay at the university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or data analysis, or start up their own company in data analytics.

Examples of companies where our graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.

Our approach to this field

Data nowadays plays a role in almost every scientific discipline as well as industry and is rapidly becoming a key driver of scientific discoveries, business innovation, and solutions for societal challenges such as better healthcare. Medical scientists are sequencing and analysing human genomes to uncover clues to infections, cancer, and other diseases. With huge telescopes, astronomers generate terabytes of data per hour to study the formation of galaxies and the evolution of quasars. Businesses like Google and Amazon are sifting social networking and user preference data to fulfill desires we don't even know we have. Police employing seismology-like data models can predict where crimes will occur and prevent them from happening.

It is then with good reason that data science has been called the sexiest job of the 21st century. Many companies complain about the difficulty to find skilled data scientists and predict this to be even harder in the future. A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data, to come up with a creative and useful solution, to find or program the right tool to turn the data into knowledge, and to communicate the obtained findings to others. By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.

See the website http://www.ru.nl/masters/datascience



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Develop the skills you need for a career in this fast emerging field of data science. This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration. Read more

Develop the skills you need for a career in this fast emerging field of data science.

This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration.

It is an interdisciplinary programme, designed for students with a first degree in subjects such as:

  • Computer Science
  • Electrical Engineering
  • Mathematics
  • Physics
  • Economics

Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.

You can tailor your studies to particular areas of interest or career aspirations through our range of optional modules, and in the final dissertation (which is a significant piece of project work).

On graduation you’ll be ready and able to develop solutions to challenges in big data analytics and big data systems.

What you will study

The programme is intended to equip graduates with the cutting-edge knowledge and skills to work in the industry as a Data Scientist, Big Data Architect, or Big Data Analyst.

Modules

Core

Option

Learning and assessment

You'll learn through a mixture of formal lectures, practical lab sessions, tutorials and seminars.

Some modules involve supervised group work, usually with an assigned academic staff member for each group.

Most modules are related to research in the school.

All modules require students to undertake independent study, supported through distance learning technologies such as our Virtual Learning Environment. Reading lists and suggested resources for independent study provide further direction for students to undertake this work, and regular contact hours and informal feedback throughout the courses provide opportunities for further guidance for learners.

Assessments for modules mostly take the form of practical coursework, lab tests and written exams, with all forms being well represented across all modules.

Facilities

Our facilities are impressive, with several laboratories filled with dual-screen, dual boot (Windows and Linux) systems packed with industry-standard software.

Our specialised labs, such as the Ethical Hacking lab and the Internet of Things lab, allow students to build their skills within these key areas of growth, in a structured way through taught modules.

We provide a range of online facilities to support independent learning, including our Virtual Learning Environment which gives you access to learning materials and collaborative learning tools 24/7, anywhere in the world. We also provide virtual server technology using in house hardware to allow students to use our operating systems remotely.

Career prospects

Big data is a major area for future growth and investment. As the global big data industry continues to grow year after year we continue to grow our programme, and continue to produce future leaders in an exciting and rewarding field.

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

Study support

We have a commitment to strong pastoral care for all of our students, which includes a Personal Tutor for all students, regular contact hours for tutor groups and our supportive student service teams who are always ready to help with any questions and provide the advice that you need.

In addition to standard study support through taught sessions, our Virtual Learning Environment allows students to access resources, participate in group work and submit work from anywhere in the world 24/7.

University central services are rich with support teams to assist students with every aspect of their journey through our degree programmes. From our Career and Employability Service, through our strong Students' Union, to our professional and efficient Student Finance team, there are always friendly faces ready to support you and provide you with the answers that you need.

Research

There is much research taking place at the Faculty of Engineering and Informatics related to this Master's programme. This includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.

Teaching informed by research is at the core of this programme. Graduates leave us well prepared to pursue academic research, or industry based research and development positions.



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Typically information governance/security and law have been taught as distinct subjects in different discipline areas. Read more
Typically information governance/security and law have been taught as distinct subjects in different discipline areas. In recognition of the relationship that exists between information governance/information security and the protection of personal data this programme brings together these subjects in one multi-disciplinary qualification.

The Postgraduate Certificate in Data Protection Law and Information Governance is a distance learning course that has been specifically designed to meet the needs of professionals already working in data protection and/or information governance. You will study three modules. The first of these, the legal research module, will develop your ability to undertake legal research and to present your research findings appropriately. In the second module you will develop your understanding of information governance and security principles that underpin the management of an organisation’s information assets. The third module will focus upon data protection law and practice.

The programme will not only provide you with valuable knowledge of current law and proposed developments to the law and to the principles of information governance, it will also enhance your ability to advise upon both information governance and data protection. The research, writing and presentation skills you will develop will also be of use to you in your working environment. Unlike typical CPD type learning this programme will challenge you to undertake critical evaluation of the law and to consider the application of information governance and security to your own/a chosen organisation.

Learn From The Best

This programme is delivered jointly by academics within Northumbria Law School and the iSchool, in the Faculty of Engineering and Environment. Northumbria Law School is actively involved in research and consultancy in the field of data protection, information sharing, freedom of information and privacy law. The iSchool, which delivers the information governance and security module, is widely recognised for its innovative distance and work-based learning programmes in information and records management and for its related research.

This course is delivered by a team of solicitors and academics with extensive experience in data protection and information governance, who are actively researching the area. In addition our team also boast memberships to key professional bodies, in addition to editing industry publications such as the Records Management Journal.

Teaching And Assessment

This course is primarily delivered online to provide flexibility and the ability for you to study at times convenient to you. We believe, however, that opportunities to engage with your tutors and with fellow students are an important part of your learning experience. On two of the modules you will be offered the opportunity to meet your tutors and attend lectures or workshops at the University at an optional study day. All of the content will be available online should you not be able to attend. On the third module you will be encouraged to engage with your tutor and with fellow students via the module discussion board.

Module Overview
KC7046 - Information Governance and Security (Core, 20 Credits)
LW7002 - Data Protection (Core, 20 Credits)
LW7003 - Legal Research (Core, 20 Credits)

Each taught module is assessed via written assignment. On the legal research module you will work in a group with other postgraduate students to undertake the research, writing and review of that assignment. On the data protection module and the information governance module you will submit an individual written assignment at the end of each module. As part of the assessment process you will be expected to undertake a critical evaluation of the law, and to consider information governance and security in your own or another chosen organisation.

Learning Environment

Your course will be delivered online using the latest innovative software. Learning materials such as module handbooks, assessment information, lecture presentation slides, recorded lectures and electronic reading lists will be available via our highly accessible e-learning platform, Blackboard. You can also access student support and other key University systems through your personal account.

Research-Rich Learning

Research Rich learning (RRL) is embedded across the programme, reflecting the pervasive research culture of the law school. Your student journey commences with the Legal Research module. This module will help you to gain a clear awareness and understanding of appropriate legal research methods and legal sources and how to cite those sources. In your subsequent modules your tutors will expose you to a range of academic literature covering substantive data protection law and relevant information governance and data security frameworks and principles. You will also develop your legal research skills further as your tutors encourage you to discuss, evaluate and critically examine relevant principles and frameworks and as you undertake your own research in order to complete your module assignments.

Give Your Career An Edge

It is envisaged that most students who study this programme will already be employed within the data protection/information governance fields. It recognises that the introduction of a new data protection regulation will result in significant challenges for professionals working in the data protection field, and seeks to help you to develop the skills and knowledge which you will need to do your job professionally notwithstanding the changing legislation framework.

Your Future

This course provides academic recognition of your knowledge of data protection and information governance law and your ability to apply that knowledge to practice. It also provides a strong foundation for further study. Should you decide upon completion of the programme that you wish to further develop your knowledge of information rights law or information governance/security then Northumbria Law School and the Faculty of Engineering and Environment both offer masters programmes in these fields. This programme provides you with a stepping stone towards study a Masters in Law (an LLM). Successful completion of this programme exempts you from study of the first three modules on the Pg Dip/LLM in Information Rights Law and Practice.

What Does Britain Leaving The EU Mean For This Course?

We can confirm that we will not be changing the course in light of the Brexit decision. The focus in this course will be the current legal framework, and any likely reforms including the GDPR. There are several reasons why the course will not be changed at this particular point. Firstly there are no changes to the current legal framework on data protection or environmental information. This is well explained in a statement by the information commissioner's office https://ico.org.uk/about-the-ico/news-and-events/news-and-blogs/2016/06/referendum-result-response/ and was reiterated by Baroness Neville-Rolfe, the Government Minister responsible for Data Protection, on 4 July. These statements also acknowledge that there is a need for reform in data protection and that would have to be seen in the context of European data protection laws. Although it is not clear what the exact relationship of the UK and EU will be in the future there is a recognition that there will be a need for equivalency of data protection law in the UK with other countries. The need for equivalency of the law is likely to be necessary whether the UK is part of the single market, or if it exits the European economic area, in order for EU countries to send data to us as part of the 8th principle (See Schedule 1 of the Data Protection Act 1998). As such the GDPR still has relevance in our understanding of what would be required to achieve equivalent protection and what likely reforms on data protection may be considered in the UK. From an educational perspective the examination of reforms such as the GDPR provide a useful mechanism to critique current data protection laws, allowing for the discussion of strengths and weaknesses, even if all those reforms are not ultimately adopted. We will of course keep the position under review, as we do with all our teaching areas in order to ensure that learning material reflects both the current law and likely changes to that law.

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The Master’s program in Data Science and Entrepreneurship combines management, entrepreneurship and business models with deep knowledge on data science methods from mathematics, statistics and computer science; understanding their limitations with regard to the law, regulations, and ethical considerations. Read more
The Master’s program in Data Science and Entrepreneurship combines management, entrepreneurship and business models with deep knowledge on data science methods from mathematics, statistics and computer science; understanding their limitations with regard to the law, regulations, and ethical considerations.

Why the Master's program in Data Science and Entrepreneurship?
Are you interested in deploying the potential power of big data to solve real-world problems? Is it a challenge for you to work with complex, structured and unstructured data? Do you like to transform innovative data-centered concepts and ideas into concrete novel and value-adding products and services? And to design business initiatives?

Data science entrepreneurs are able to monetize the flood of data that is generated in this digital age by exploiting the economic value of personal data, developing novel ways to get actionable insights from data streams and exploring novel marketing models. They will typically start up and/or innovate within data based product companies.

Therefore, in this English Master's program you will:
- Combine data science courses with courses that address the entrepreneurship pillar of the program
Examples of courses are: data integration and architecture, data mining, business process management, data entrepreneurship, and creative thinking and open innovation.

- Incorporate theories and concepts from legal and ethical aspects of business venturing, intellectual property, and ethical and privacy aspects of data.

- Apply data entrepreneurship in building a technology startup
The backbone of the program is formed by a series of courses called Data Entrepreneurship in Action (1-3). In these courses, student teams use data-driven methods to test the feasibility of an idea/innovation, build a data-intensive product/solution, propose sales channels and customers, and develop entrepreneurial skills in building a technology startup.

- Solve actual problems with real datasets from industrial partners
Representatives from the industrial partners will share actual problems and datasets in two or three applications domains from which student teams can choose. As 'clients' of the teams, the industrial representatives will actively work with our professors to coach the student teams.

This program is not yet registered in the Netherlands Central Register of Higher Education Study Programs (CROHO). A proposal for initial accreditation will be submitted to the Accreditation Organisation of the Netherlands and Flanders (NVAO). This procedure might take up to six months and there is no guarantee of a positive decision by the NVAO. Only after accreditation by the NVAO and subsequent CROHO registration can this program be started up.
For more information about accreditation, please visit http://www.nvao.com.

Associated Schools:

Law School
School of Social and Behavioral Sciences
School of Humanities

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This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data. Read more

This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data.

Study in two globally-recognised Institutions

Ecole Polytechnique and HEC Paris are both world leading academic institutions, renowned for the quality of their degrees, faculties and research (see HEC rankings).

Their association within this Joint Degree represents the best Business/Engineering combination Europe could possibly offer, with extraordinary added value for the students who will follow this program in Data Science and Business.

Lead the digital transformation of the economy

Big data marks the beginning of a major transformation of the digital economy, which will significantly impact all industries. There are three main challenges to face:

  • Technological: dealing with the explosion of data by managing the spread of vast amounts of information that is often very disorganized (IP addresses, fingerprinting, website logs, static web or warehouse data, social media, etc.)
  • Scientific: replacing mass data with knowledge,i.e. developing the expertise that makes it possible to structure information, even out of tons of vague or corrupt data.
  • Economic: managing data both to control risks and benefit from the new opportunities they offer. On the one hand, it is absolutely vital to be able to control the flow of information, anticipate data leaks, keep the information secure and ensure privacy. On the other hand, it is also essential to come up with solutions capable of transforming this flow of data into economic results and, at the same time, discover new sources of value from the data.

Acquire the skills to make a difference in tomorrow's digital world

Exploiting this vast amount of data requires the following:

  • A mastery of the sophisticated mathematical techniques needed to extract the relevant information.
  • An advanced understanding of the fields where this knowledge can be applied in order to be in a position to interpret the analysis results and make strategic decisions.
  • A strong business mindset and an even stronger strategic expertise, to be able to fully benefit from the new opportunities involved with Big Data problematics and develop business solutions accordingly.
  • The ability to suggest and then decide on the choice of IT structures, the ability to follow major changes in IT systems, etc.

Therefore the program has three objectives:

  • To train students in data sciences which combines mathematic modelling, statistics, IT and visualization to convert masses of information into knowledge.
  • To give students the tools to understand the newest data distributing structures and large scale calculations to ease decision-making and guide them in their choices.
  • To form data ‘managers’ capable of exploiting the results from analysis to make strategic decisions at the heart of our changeable businesses.

Make the most of the worldwide networking and alumni power 

Students will benefit not only from the close ties that HEC Paris has developed with the business world but also those of Ecole Polytechnique, through various networking events, conferences and career fairs.

The HEC Alumni network alone, consists of more than 52,300 members in 127 countries.

Program details

The key aim of the teaching in this Joint Degree is to provide students with the tools needed to solve real problems, using structured and unstructured data masses, teaching them to ask the ‘right’ questions (both from statistics and ‘business’ perspectives), to use the appropriate mathematical and IT tools to answer these questions.

Students will be equipped to shift constantly from data to knowledge, from knowledge to strategic decision, and from strategic decision to operational business implementations.

All these shifts carry with them numerous challenges that each require an interdisciplinary approach involving mathematics, IT, business strategy, and management skills.



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