Master in Data Science and Analytics, Concentration in Big Data and Machine Learning

Georgia State University in downtown Atlanta is a large, dynamic public research university with a strong commitment to student success. With a wide range of programs across business, arts, sciences, education and health fields, GSU combines academic rigor with practical, career-oriented opportunities. Its urban campus places students at the heart of a major metropolitan economy, offering unparalleled access to internships, industry partners and cultural institutions.

International students benefit from comprehensive support services, personalized advising and numerous scholarship and financial-aid options that help make study more accessible. GSU’s faculty are active researchers and practitioners who integrate real-world projects into the curriculum, while the city’s business ecosystem supports hands-on learning and networking. Student life is lively, with multicultural organizations, career fairs and experiential learning embedded across disciplines.

Graduates from Georgia State enter the workforce with practical experience, professional connections and industry-relevant skills. The university’s emphasis on community engagement and social impact also prepares students to lead change locally and globally. For students seeking an affordable, well-connected urban university with broad program choices and strong career pathways, GSU presents a compelling option.

The Master in Data Science and Analytics with a Concentration in Big Data and Machine Learning at Georgia State University is a 2-year program for students who want to work with big data. This Master's degree helps students gain technical and soft skills to work in industries like the Internet of Things and health data.

The curriculum includes courses on statistical analysis, machine learning, and data visualization. Students learn how to analyze large datasets, solve problems, and communicate insights. They also study topics like reproducible data analysis and privacy issues in data science.

Graduates can work as Data Scientists, Business Intelligence Developers, or Data Architects. They can also find jobs as Machine Learning Engineers, or Data Analysts in top research and development labs, or industries related to robotics and remote-sensing data.