45 Data engineering degree abroad
- Dundee, United Kingdom
- Online
Full time
15 months
On-Campus
English
Data Science & Engineering are two closely related fields. Yet they have two distinct roles and responsibilities. You will benefit from a unique course that combines the skills of data engineering and data science. This makes you a marketable professional in today's data-driven world.
- Rapid City, USA
Full time
4 years
On-Campus
English
The Ph.D. in Data Science and Engineering is a joint collaborative program betweenElectrical Engineering and Computer Science,Industrial Engineering, andMathematicsdepartments. Data science is a rapidly growing interdisciplinary field that involves researchers from many STEM disciplines with applications found throughout science and engineering. The advancement in business analytics can be attributed to data science and has proven to unlock actionable intelligence and insights.
- Bremen, Germany
Full time
2 years
On-Campus
English
Data engineering is an emerging profession concerned with big data approaches to data acquisition, data management, and data analysis. The Data engineering program at Jacobs University offers a fascinating and profound insight into the methods and technologies of this rapidly growing area.
Master of Science - Data Science and Engineering - Residential
Auburn University - College of Engineering
Featured
- Auburn, USA
Full time
2 years
On-Campus
English
The Master of Science in Data Science and Engineering program, offered on campus, prepares students to pursue careers in data science and engineering, where valuable insights are derived from massive amounts of raw data. Our high‐quality curriculum offers an excellent balance between theory and application, equipping students with foundational skills and state‐of‐the‐art technologies related to the next generation of big data applications.
- Fairfax, USA
Part time
12 months
Distance Learning
English
In just four courses, learn to deliver a process that transforms raw data and places it into a decision-making context. You can earn the online Graduate Certificate in Data Analytics Engineering from George Mason University in roughly one year and be ready to use technology to create informed strategies and smart systems.
- Online
Full time
2 years
Distance Learning
English
Today we are “drowning in data and starving for information,” while acknowledging that “data is the new gold”. However, deriving value from all the data now available requires a transformation in data analysis. Data Engineering Technologies(online) is an emerging profession concerned with the task of acquiring large collections of data and extracting insights from them.
- Gdańsk, Poland
Full time
7 semesters
On-Campus
English
Making important decisions is always based on collecting and analyzing huge amounts of information. Data engineering helps achieve this goal by combining the experience and expertise of two areas: information technology and management. Students of this field of study will learn how to deal with large amounts of data from different sources and how to interpret them. All this is based on computer programs and algorithms, and knowledge of mathematics, statistics, and economics.
- Singapore, Singapore
Full time, Part time
16 months
Distance Learning, On-Campus
English
The Higher Diploma in Data Science and Analytics has been developed by the London School of Business and Finance, School of Technology to provide a qualification for students who are seeking to work in the data science, business analytics industry, or in occupations where big data management will be of utility.
- Potsdam, Germany
- Dubai, United Arab Emirates
Full time
1 year
On-Campus
English
Data Science is an increasingly trending field that provides new opportunities for business by creating value out of data. Our lectures cover all relevant methods in data analytics and machine learning, such as clustering methods, predictive modeling, and deep learning.
Bachelor of Engineering in Machine Learning and Data Engineering
Lapland University of Applied Sciences (LAPIN AMK)
Featured
- Rovaniemi, Finland
Full time
4 years
On-Campus
English
The Degree Program in Engineering will provide you with the skills and knowledge to work as a machine learning and data engineering specialist. The main emphasis and specialization areas in the program are machine learning and data engineering.
- Madrid, Spain
Full time, Part time
9 months
Blended
Spanish
The Master in Data Science & Deep Learning is composed of two programs: With the Master in Data Science & Big Data you will learn the foundations of data science, from data pre-processing to the main predictive analytics algorithms. In this training we will provide you with the bases of Statistics and Python to be able to work with data. In the Master in Deep Learning you will apply the latest Machine Learning and Deep Learning techniques, which are the basis for disciplines such as predictive analysis, image, voice and text recognition.
- Dubai, United Arab Emirates
Full time, Part time
1 year
On-Campus
English
The role of a data scientist is rapidly becoming a required position for any company that wishes to take full advantage of the data they collect. There is an increased demand for professionals that have the correct mix of mathematics, statistics, computer science, business acumen, and the ability to leverage emerging technologies to solve real-life problems.
- Hamburg, Germany
- Potsdam, Germany + 1 more
Full time
6 semesters
On-Campus
English
Learn how to apply cutting-edge analytics tools on Big Data in order to facilitate mission-critical management decisions and graduate into one of the leading segments of Industry 4.0. Dive into an advanced content curriculum, while interacting with a highly qualified faculty team, who will support you alongside the program and beyond during the Digital Business & Data Science B.Sc. program.
- Madrid, Spain
Full time
5 months
Distance Learning, On-Campus
Spanish
Become a Data & Cloud Engineer
- Saint-Étienne, France
Full time
2 years
On-Campus
French, English
This master's degree offers students with an economist, manager or engineer profile, professional training in the field of data science and innovation management.