565 Master Programs in Data Science 2024

The International Master of Science in Quantitative Economics (IMSQE) is an elite Program at the Department of Economics and Business Economics at Aarhus BSS. Students tailor their own study Program on the basis of a range of advanced courses with a quantitative orientation, including selected PhD-level courses. The Program requires strong analytical skills in quantitative methods, and there are special requirements regarding the level and qualitative content of written assignments. A particular emphasis is placed on the students’ analytical and quantitative skills.

Do you want to shape the future of IT? Do you want an exciting and fulfilling career that influences, directs, and supports the global IT industry? If you want the solid educational background that makes this a reality, then our Master’s Programme (One Year) in Informatics – Data-Driven IT Management is the programme for you. In this programme, you will develop knowledge to shape the future of IT.

The Master’s degree in Data Visualization Management is a specialized program in collaboration with Camilo Jose Cela University. This program focuses on the effective presentation and communication of data through visual means. This field combines elements of data analysis, graphic design, and information technology to create informative visual representations of data.

Developed by the School of Information Studies in conjunction with the Martin J. Whitman School of Management, the online MS in Applied Data Science program draws insights from both the field of information studies and the field of management to help students effectively apply analytical concepts to gain insight from data. Featuring live online classes, interactive coursework, and opportunities to network, the online program facilitates collaboration, problem-solving, and in-depth analysis within an interdisciplinary curriculum.

Earn a Master of Applied Data Science online from UNC-Chapel Hill. Build the technical expertise and real-world experience to advance your data science career and impact lives in North Carolina and beyond.

The online Master of Information and Data Science (MIDS) program is preparing the next generation of experts and leaders in the data science field and providing students with a UC Berkeley education without having to relocate. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. All international applicants will be required to submit official Test of English as a Foreign Language (TOEFL) scores.

The online MS in marketing analytics program from the Kogod School of Business at American University prepares students to apply digital marketing and analytic skills to make data-driven decisions. You will study topics such as brand strategy, integrated marketing, and marketing analytics to further your expertise in marketing and data analysis.

Our MSc Artificial Intelligence & Technology Leadership will enable students to acquire the skills needed to lead in an AI and data-driven economy by investigating, identifying and implementing technological strategic solutions. Students may wish to pursue or progress their career in IT leadership and this course gives them the skills needed to lead in a digital world. Students will study IT leadership and management, as well as IT strategy, data analysis, business process and IT project management.

The online Master of Data Science degree from Calvin University delivers the data analysis expertise you need to enhance your professional potential in a highly marketable industry. Through courses founded on Christian values, you'll build essential skills in predictive analytics, data ethics, data engineering, and more. Courses are taught by professionals in a fully online classroom to ensure you receive a quality education from wherever your busy life leads. Get started today.

Learn a rich array of methods for analyzing data and converting it into actionable intelligence for business decisions. Mason’s expert faculty will immerse you in courses focusing on statistical methods, data mining, and other concepts at the intersection of IT and data analytics.

IU's program provides advanced training and expertise in handling and analyzing large-scale data, enabling you to extract valuable insights, make informed decisions, and drive data-driven innovation across industries. With IU’s degree in Data Science, you’ll be a specialist in the current developments in software, infrastructure engineering, and big data technology. By equipping you with the right skills, this programme will help you transform into an expert capable of developing challenging data science applications and systems, in both the private and public sectors.

Utica University's online M.S. in Cybersecurity – Data Analytics specialization is designed for those who want to enhance the cybersecurity industry through data-driven solutions. The online M.S. in Cybersecurity program has earned National Center of Excellence designations from both the NSA/DHS and the EC-Council.

Become an accountant with an expert focus on data analysis in The University of Scranton's online, AACSB-accredited Master of Accountancy program with an Accounting Analytics concentration. Learn from award-winning faculty and capitalize on the growing demand for data-driven accounting professionals.

Fifteen years ago, the role of data scientist was unheard of. Today, it’s an established role in business and government departments around the world. The nature of the role is constantly shifting as data sources, software tools, and techniques change. Equip yourself with the skills and knowledge to move and adapt to these changes. Our graduates leave with an advanced understanding of techniques in data science, including machine learning and statistical methods and their uses in the world of big data. You will be able to critically analyse data requirements and sources in a variety of areas of application from the sciences, humanities, and social sciences to business and government.

The Data Analytics track will train you for the effective use of data in research, decision-making, and society. The focus of teaching is on understanding and applying the operational principles of the key data analysis methods in practice.