16 Data Engineering Bachelors Degree Programs

Programa de primer nivel para personas disruptivas que aspiran a cambiar el mundo de la tecnología. El Grado en Inteligencia Artificial e Ingeniería de Datos de la Universidad Nebrija se enfoca en la experiencia del estudiante a través del Aprendizaje Basado en Proyectos.

The Bachelor’s Degree in Science and Data Engineering will train professionals with the ability to analyze, both theoretically and practically, said data for intelligent decision-making. If you are a person with analytical skills, critical thinking, computer skills, and mathematical skills, this degree will prepare you to generate practical solutions to technological, business, and social problems.

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.

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.

The Bachelor of Science in Data Science & Engineering is built for curious minds who want to do more than just crunch numbers. Here, you'll dive into computer science, statistics, math, and real-world problem solving, learning to turn raw data into meaningful, actionable solutions.

The programme offers solid foundation in data science and intelligent systems, where students will learn to analyse, manage and improve enterprise­ class systems using big data.

The major of data science and big data technology cultivates the comprehensive development of morality, intelligence, body and beauty, masters the basic knowledge of mathematics and natural sciences, and the basic theories, basic knowledge, basic skills and basic methods of data science and big data technology, including big data applications Basic knowledge of mathematics, statistics, computer and other subjects, data modeling, efficient analysis and processing, statistical inference, understanding of big data technology in the application fields of natural science and social science, strong professional ability and good foreign language ability , Can be qualified for data analysis and mining algorithm application and big data system development application-oriented senior professionals.

The major Data Engineering will allow the students to obtain knowledge and abilities in the most dynamically developing technological domain, namely the analysis of large data (Big Data, Data Mining) and the related fields of Artificial Intelligence and Machine Learning.

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. The main emphasis and specialization areas in the program are machine learning and data engineering.

Our Software and Data Engineering study program is precisely tailored to educate young people for these professional roles. Initially, we have reviewed hundreds of job descriptions both in our country and worldwide and discovered emerging trends in the job market.

The art of uncovering insights and trends through data Gain an understanding of the evolving implications of how data can be used to solve real-world challenges today and in the future.

Data Analytics is growing rapidly across various fields, including healthcare, finance, marketing, computer science, biomedical research and more.

Do you enjoy the search for trends and the use of patterns to solve puzzles? Data Science is an exciting, growing, dynamic field that works to solve societal and corporate problems.

While data science resides at the intersection of the technical fields of computer science, mathematics, and statistics, domain knowledge in an applied area of study is an essential component for the practicing professional.

Computer and Data Sciences combines technical skills with the liberal arts to hone problem-solving skills that may be used in a wide array of settings.