53 Data Engineering Degree Programs

The certificate in Applied Data Engineering for Managers is designed to help professionals develop practical skills in managing data tools and processes. The program covers key topics like data ingest...

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.

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.

Digital technologies are spread across all forms of mobility. Travelers have access to easy yet powerful solutions and an ever-increasing number of innovative services to organize their trips. Service platforms (e.g. MaaS), customer relationships, operations, maintenance, and investment planning are all undergoing profound change.

DSTI MSc in Data Engineering for Artificial Intelligence master’s level programme addresses the growing market demand for professionals skilled in organising data storage and pipelines, as well as implementing AI algorithms. As organisations move beyond the initial ‘all data science’ trend, they recognise the necessity of efficiently managing diverse data types and volumes, from small tabular datasets to large unstructured data.

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 Master of Science in Data Science program qualifies for STEM OPT/CPT benefits, allowing international students up to 36 months of practical training, and offers a rigorous and comprehensive curriculum that equips students with advanced skills in statistical methods, data analytics, artificial intelligence, and ethical technology management. The program combines core courses such as Statistical Methods, Quantitative Methods, and Data Analytics with specialized classes in Big Data Analytics for IoT, Applied AI, and Advanced AI for Business Insights while enabling international students to access 12 months of CPT during the program, 12 months of initial OPT, and an additional 24-month STEM OPT extension with qualifying employers.

The Applied Data Science A.A. program prepares students to understand and analyze data in real-world contexts. The curriculum focuses on teaching essential skills like data collection, cleaning, and v...

Kick off a career in one of the fastest-growing professions in tech. Our full-time Data Analytics Bootcamp gives you the skills, one-on-one career coaching, and employer connections to make it happen. Stat. Data analysts examine raw data and turn it into actionable insights. They identify hidden patterns and uncover unseen trends to make predictions and draw conclusions that help businesses get ahead.

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.

Kettering University’s Online Master of Science in Data Science a fusion of statistical, data management, and computing technologies—including data mining, machine learning, cloud computing, and visualization.

Data Science is a rapidly growing field in which many job opportunities are emerging across many disciplines.

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.