1038 Data Science Degree Programs

The Data Science master's program trains students to use statistics, data visualization, and machine learning to analyze and understand the world around them.

The Master in Data Science trains data analysis professionals with transversal skills and the ability to work in dynamic and multidisciplinary environments with theoretical, methodological and practical knowledge in computer science, mathematics and statistics and one of the domains of competence.

The Master in Data Science (Online) is designed for those who want to develop strong skills in analyzing and interpreting data. It covers key topics such as data collection, data cleaning, and data vi...

Data Science is continually ranked as one of the most in-demand professions. The need for professionals who can manage and leverage insights from data is clearer than ever before. The curriculum taught in this program is designed to meet the expanding multi-disciplinary needs of data professionals. By covering a wide array of topics, the program addresses the wide variety of skills needed to work on successful data-based projects. Topics covered include data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python programming, and machine learning. UC Irvine’s 3-month post-graduate level Accelerated Certificate Program (ACP) in Data Science covers a wide array of topics in data science including data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python, and machine learning.

Designed for working professionals looking to advance their careers, the Online MSc in Data Science is an online Master of Science in Data Science from Southern Methodist University. The program’s interdisciplinary curriculum prepares data science professionals to work with large datasets, analyze information and relate findings. The program blends live online classes, self-paced coursework and in-person learning experiences with classmates and faculty.

Harbour.Space's Data Science programme prepares students to become industry leaders in the field. Utilizing an innovative curriculum, experienced professors, real-world experience, and a network of like-minded driven individuals the Harbour.Space Data Science programme is pioneering this new frontier of human knowledge. Develop the analytical and programming skills needed to extract valuable knowledge out of data.

Organizations are increasingly seeking graduates who possess the skills to enhance their predictive capabilities and mitigate risks effectively. With a Data Science degree from Lakeland University, you'll be equipped to meet these demands head-on. Gain the expertise to navigate the data-driven landscape and make a meaningful impact by pursuing a Data Science degree at Lakeland University!  

Data Science is at the intersection of three domains: computer science, mathematics and statistics, and application (e.g. business, social science, health). The insights of data and analytics influence our everyday lives, from streaming service algorithms to the life-altering decisions made by science, industry and government.

The Master in Data Science, a partnership between the Department of Electronics, Telecommunications and Informatics (DETI) and the Department of Mathematics (DMat), allows strengthening the knowledge and skills in data exploration and machine learning, with an emphasis on extracting actionable information from large-scale data. The Masters combines knowledge from the basic areas of Data Science, namely Mathematics and Informatics, providing both the theoretical foundations and the computational skills necessary for its application to different types of data and contexts.

Bachelor of Science in Data Science is an interdisciplinary field and incorporates tools and techniques from statistics, computer science, and business. We focus on real-world applications, providing students with hands-on experience analyzing large datasets and developing data solutions to solve problems in healthcare, transportation, finance, and other industries.

Data science is a rapidly growing field, and the MSc in Data Science equips students with expertise in machine learning, big data analytics, and artificial intelligence. Students develop programming skills in Python and Power BI, work on real-world datasets, and build predictive models. The curriculum emphasizes data visualization, statistical analysis, and ethical AI applications.

Data science plays a crucial role today by enabling organizations to extract valuable insights and make informed decisions based on vast amounts of data: with its interdisciplinary approach combining statistics, mathematics, programming, and domain knowledge, data science empowers scientists, profit and non-profit organizations to uncover patterns, trends, and correlations that might otherwise remain hidden.

The goal of the UCD MSc Statistical Data Science is to train the new generation of data scientists, by empowering them with a broad range of foundational and applied skills in statistics and machine learning. On completion of the MSc Statistical Data Science, you will be able to demonstrate an in-depth understanding of statistical concepts, apply advanced statistical reasoning, techniques, and models in the analysis of real data, and employ technical computing skills.

The master's program in Biostatistics and Data Science offers a unique combination of biostatistics and data science. Students with backgrounds in mathematics, statistics, computer science, or related disciplines, are provided with the skills to solve problems in biology, medicine, and public health.

Data science is expanding quickly, and the MSc in Data Science prepares learners with strong skills in machine learning, big-data analysis, and AI. Throughout the program, students gain proficiency in Python and Power BI, tackle real industry datasets, and create predictive modeling solutions. The coursework highlights data visualization, statistical methods, and responsible uses of AI.