Data Science and Analytics Georgia State University

Overview

The Data Science and Analytics, M.Sc. programme at Georgia State University’s Robinson College of Business is a cutting-edge course designed to equip students with the skills necessary to thrive in the rapidly evolving data landscape. The programme is highly regarded, consistently ranking among the top in the United States. In 2025, it was ranked #11 in the U.S. and #5 among public institutions by TFE Times, while Fortune placed it at #15 overall and #11 among public universities in 2024. This recognition reflects the programme's commitment to academic excellence and its strong ties to industry.

Students can choose between two distinct tracks: Data Scientist and Citizen Data Scientist. The Data Scientist track focuses on building solutions using machine learning, deep learning, and generative AI across various business domains. It covers essential topics such as data collection, cleaning, feature engineering, and model interpretability. Conversely, the Citizen Data Scientist track is tailored for those looking to manage data science projects and bridge the gap between technical teams and business stakeholders. This track emphasises data visualisation, evaluation, and the art of data storytelling.

The programme is STEM-designated, ensuring that graduates are well-prepared for careers in industries demanding advanced analytical skills. The curriculum is rigorous, featuring a blend of theoretical knowledge and practical application through projects and boot camps. Students engage in Insight Sprints, collaborating with industry partners to solve real-world problems using data. This hands-on experience is invaluable, providing students with the opportunity to apply their skills in a professional context.

Georgia State University boasts exceptional facilities and resources, making it an ideal environment for aspiring data professionals. The Robinson College of Business is known for its innovative approach to education, fostering an atmosphere where students can thrive. Additionally, the programme's strong industry connections facilitate networking opportunities and internships, enhancing students' employability upon graduation.

The tuition fees for the Data Science and Analytics programme are structured as follows:

• Domestic students: USD 47,250 per full programme
• International students: USD 48,150 per full programme
• Local students: USD 39,975 per full programme

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum is designed to provide a comprehensive education in data science and analytics. Key modules include:

• Data Programming for Analytics
• Data Management for Analytics
• Communicating with Data
• Statistical Foundations for Analytics
• Machine Learning for Analytics
• Predictive Analytics
• Deep Learning and Generative AI
• Building Generative AI Business Solutions

Students also have the option to pursue elective courses and concentrations in areas such as Legal Analytics, enhancing their expertise and career prospects.

Graduates of the M.Sc. programme have successfully secured positions at prestigious companies such as Aetna, Amazon, Deloitte, and PwC. The programme prepares students for a variety of roles, including Data Scientist, Business Intelligence Analyst, and Data Engineer. Alumni have reported an average salary increase of 57%, with many able to recoup their investment in education within a year. The Graduate Career Advancement Center offers extensive resources to support students in their job search and career progression.