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.

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.

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.

Data Science is an increasingly trending field that provides new opportunities for businesses by creating value out of data. New waves of innovations surrounding analytic services have had a significant impact on business and technology over recent years. In this master’s program, you will learn all relevant data science skills that are in demand across all industries in today’s job market.

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.

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.

Data Science is a combination of science, engineering, and art skills to extract useful knowledge from data. It involves different areas of knowledge, from statistics to databases and computer science, from artificial intelligence to machine learning and deep learning. It is used to solve important problems in our economy and society, from predicting the sales of products and recommending the best product for a customer, to supporting the diagnosis of patients and analyzing the spread of a virus.

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.

DSTI Applied 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.

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.

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 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.

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 new major in Artificial Intelligence and Data Engineering provides students with the skills and knowledge to thrive in today’s data-driven world. Upon completing the program, students will understand how AI and machine learning are transforming industries by optimizing data processing and decision-making.

In today’s data-driven world, organizations of all types are using data to drive strategy, make critical decisions, and solve problems. Data scientists are in great demand—Glassdoor ranks data scientist as one of the top three Best Jobs, and the field is expected to grow more than 30 percent over the next decade.