94 Data Analytics Master's Degree Programs

The Online Master's in Artificial Intelligence at NEURO Business School focuses on the practical use of AI in business environments. Students learn how artificial intelligence supports data analysis, marketing, management, and automation without requiring a technical background. The program emphasizes strategic and ethical use of AI. With its flexible online structure, students can develop future-ready skills from anywhere.

This master offers the possibility of acquiring a current, complete and globally demanded professional profile, where three technological areas that are at the forefront of knowledge are integrated.

Digital and analytical marketing refers to all the marketing techniques used on digital platforms and channels, as well as the skills related to their analysis and management within the context of various commercial operations. The sectors recruiting in digital marketing are diverse and include CRM roles, SEO and SEA positions, as well as social media managers and community managers.

The Master’s in Economics at Nova SBE is the 3rd best Master’s in Economics in Europe. Did we grab your attention yet? To that, we can add the opportunity to take part in an advanced program that includes analytical skills and political and economic awareness.

Este programa comenzará en el año académico 2026-2027 y actualmente está en trámite. El máster tiene como objetivo capacitar a profesionales para que impulsen el análisis de datos y la toma de decisiones estratégicas en entornos digitales y altamente competitivos.

When you study the data you discover more than meets the eye. Data Analytics is the bridge between technology, data science and strategy. Ever wondered how your phone knows which ads to show you at lunchtime? Or how the supermarket emails you with specials on your favourite products? It’s not a coincidence. It’s the work of data analytics encouraging you to buy more.

When you study the data you discover more than meets the eye. Data Analytics is the bridge between technology, data science and strategy. Ever wondered how your phone knows which ads to show you at lunchtime? Or how the supermarket emails you with specials on your favourite products? It’s not a coincidence. It’s the work of data analytics encouraging you to buy more.

UniSQ’s Master of Data Science (Data Analytics) provides an opportunity for graduates from all disciplines to gain useful knowledge in Big Data with a specific focus on Data Analytics. Data Science helps organisations to extract new insights from raw data; insights which inform the development of new products, improved services and new businesses in our increasingly data reliant world.

The Master’s in Strategic Analytics is designed to help students develop skills to analyze data and make informed decisions across various industries. The program emphasizes practical application, tea...

The Master of Data Analytics program is designed to equip students with advanced skills in data collection, analysis, and interpretation. It focuses on developing competencies in statistical methods, ...

The Master's in Data Science and Analytics program is designed to equip students with comprehensive skills in data management, statistical analysis, machine learning, and data visualization. The curri...

The Master's program in Taxation and Data Analytics (MTax) at Arizona State University offers students a comprehensive education that combines advanced taxation principles with cutting-edge data analy...

The Data Science and Analytics MSc at the University of Leeds is designed to equip students with essential skills in managing and interpreting data. As data continues to grow in variety and volume, th...

The Master of Financial Data Analytics (MFDA) aims to train highly qualified finance professionals with the computational skills essential for success in today's ever-changing financial markets. Aimed at working professionals, this unique graduate program trains students in both finance and related data analytic skills and is suitable for business graduates with or without an advanced mathematics background. Applicants to the MFDA can be from a variety of educational backgrounds, from business, economics and finance, to mathematics, computer science, information technology and other quantitative areas.