Georgia State University

How this program compares

At an estimated $40.0K in total tuition, the MS Analytics (M.S.A.) in Data Science and Analytics with a Concentration in Big Data and Machine Learning sits roughly 7% below the $42.9K average for AI master's programs in our database — placing it in the 60th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or engineering with a minimum GPA of 3.0 is required, along with prerequisites in statistics, programming, and calculus.

About This Program

An interdisciplinary graduate program that blends statistics, computing, and business to prepare students for leadership roles in data science and analytics. Coursework concentrates on AI Ethics/Policy and Machine Learning. Most students complete it in about 1 year.

Design and implement machine learning models for predictive analytics.

Budget planners should note $40.0K estimated total tuition (60th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

It is one of 26 AI-related programs we track in Georgia, of which about 69% offer an online option. On price, it comes in higher than about 85% of the Georgia programs in our data, where typical tuition runs near $36.8K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

The MS Analytics (M.S.A.) in Data Science and Analytics with a Concentration in Big Data and Machine Learning at Georgia State University (Atlanta, Georgia) is oriented toward Data Scientist hiring, with alumni reporting pay near $120,000. Its focus on AI Ethics/Policy and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Big Data Analyst
• 4. Business Intelligence Analyst

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Manage and process large-scale big data using distributed computing frameworks.
• Apply statistical methods and data mining techniques to extract insights from complex datasets.
• Develop data visualization and storytelling tools for business decision-making.

Curriculum Highlights

The curriculum includes a core foundation in data management and statistics, with a specialized track in big data, machine learning, and predictive modeling.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.

Admissions

Admission to Georgia State University's MS Analytics (M.S.A.) in Data Science and Analytics with a Concentration in Big Data and Machine Learning generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions