GA

Master's in DS/DA
On-Campus, Online

Georgia State University | MS Analytics (M.S.A.) in Data Science and Analytics with a Concentration in Big Data and Machine Learning

  • Atlanta
About This Program

An interdisciplinary graduate program that blends statistics, computing, and business to prepare students for leadership roles in data science and analytics.

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What You'll Learn

  • Graduates master the skills to acquire, organize, and model large datasets, formulating data-driven questions that guide strategic decision-making in corporate settings.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The M.S. in Analytics (M.S.A.) in Data Science and Analytics with a Concentration in Big Data and Machine Learning at Georgia State University is a 30-36 credit graduate program emphasizing advanced data processing, machine learning models, and big data infrastructures for analytical decision-making.
Typical Course Topics
1. Big Data Analytics 2. Machine Learning Algorithms 3. Data Mining and Predictive Modeling 4. Programming for Data Science (Python/R) 5. Time Series Analysis and Forecasting 6. Enterprise Data Management and Visualization
Program Specializations:
AI Ethics/Policy
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Position as Data Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Data Scientist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
0.35%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Machine Learning Engineer 3. Big Data Analyst 4. Business Intelligence Analyst
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.
Explore AI Career Paths
Program Details
Duration
  • 1.0 Year
Tuition
$ 39,975
Format
On-Campus, Online
Specializations
AI Ethics/Policy
Machine Learning
Official Resources
Program Website
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