Data Science and Analytics MSA, concentration in Big Data and Machine Learning

A complete application to the MSA in Data Science and Analytics program includes:

1. Submitted Online Application - Online applications must be submitted by the deadline. Paper applications are not available.
2. Application fee - A non-refundable fee of $50 is required for each application. This fee must be paid online by credit card.
3. Personal Statement - A brief personal essay explaining the applicant’s interest in the program.
4. English Language test scores (International applicants only) - International applicants are required to submit official TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Testing Systems) academic scores.
5. Two letters of recommendation - Letters should be submitted through the online application.
6. Upload Transcripts from each post-secondary college/university attended: Upload each transcript to the Academic History section of the online application before submitting your application or upload the transcript to your application status page under the Upload Materials section if your application has been submitted. Review the requirements for submitting transcripts before sending your submission. Failure to follow these requirements will delay your application processing.

For more information on submitting your transcripts, visit the graduate transcript requirements page.

The Master of Science in Analytics (MSA) program at Georgia State University, with a concentration in Data Science and Analytics, offers a robust curriculum designed to equip students with the necessary skills and knowledge in this rapidly evolving field. The program encompasses a total of 30 credit hours, which includes both core courses and a capstone project.

Key components of the curriculum include:

• Data Analysis and Visualization
• Advanced Statistical Methods
• Machine Learning and Predictive Analytics
• Big Data Technologies
• Ethical and Legal Aspects of Data Science
• Capstone Project

This curriculum is designed to provide a comprehensive education in data science and analytics, preparing graduates for successful careers in various industries where big data plays a pivotal role.

For a complete list of courses and up-to-date curriculum requirements, please visit the course catalog.

At Georgia State University, we understand that students come to our institution from a range of financial backgrounds. We value the investment our students make in their education, and we aim to provide access to scholarships and aid opportunities that can support students through their academic journey.

Georgia State University offers various scholarships and aid opportunities for students in the data science and analytics field.

Learn more about tuition rates or use Georgia State’s Cost Calculator to determine the investment required for your course of study.

The MSA in Data Science and Analytics program equips students with strong preparation in statistical analysis, machine learning, information retrieval, and the management and analysis of massive data sets. Courses focus on reproducible data analysis, collaborative problem-solving, data and knowledge visualization and communication, as well as privacy and ethical issues that arise in data science.

Over the summer, students will either participate in data science internships, work under faculty supervision on their own big data-driven machine learning projects or participate in data science sprints through interdisciplinary collaborations.