Overview
The Data Science and Analytics programme at Georgia State University provides a comprehensive foundation in computational methods and statistical modelling to drive business decision-making. Students can choose between specialised tracks tailored to their professional backgrounds, ensuring a curriculum that aligns with their specific career goals in the evolving tech landscape.
Why Data Science and Analytics at Georgia State University?
Georgia State University holds prestigious rankings for its analytics education, including being ranked 10th in the U.S. by TFE Times. The programme is delivered at the Buckhead Center and offers a unique "Insight Sprint" model, where students collaborate with industry partners like Truist and Delta Air Lines to solve real-world data challenges. Students benefit from a multi-disciplinary curriculum that integrates computer science, statistics, and business management, supported by high-performance facilities and a dedicated Graduate Career Advancement Center.
Tuition Fee Breakdown
- International fee: USD 49595 per full
- National fee: USD 48195 per full
- Local fee: USD 39975 per full
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured into distinct tracks for data scientists and citizen data scientists. Modules may include:
- Data Programming for Analytics
- Data Management for Analytics
- Communicating with Data
- Statistical Foundations for Analytics
- Machine Learning
- Predictive Analytics
- Deep Learning and Generative AI
- Building Generative AI Business Solutions
- Scalable Data Analytics
Careers with Data Science and Analytics
Graduates from the programme have achieved significant professional success, reporting an average salary increase of 57% following completion. Alumni are employed by global organisations such as Amazon, Deloitte, Georgia-Pacific, KPMG, and PwC. The training prepares students for a variety of high-level technical and leadership roles across diverse industries. Common career destinations include:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Analytics Engineer
- Quantitative Risk Analyst
- Cloud Engineer
- Insights Analyst
- Data Visualization Engineer
Programme Structure
Courses include:
- Data Programming for Analytics
- Data Management for Analytics
- Data Visualization
- Scalable Data Analytics
- Machine Learning for Analytics
- Predictive Analytics
- Deep Learning Analytics
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
Fall admission for national students: applications are accepted on a rolling basis until one week before class starts.
Language
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Credits
Delivered
Campus Location
- Atlanta, United States
Disciplines
Data Science & Big Data Data Analytics View 403 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Online application and $50 application fee
- Video interview as part of the online application
- College transcripts
- Personal statement
- Resume – Work experience preferred but not required
- If degree transcripts are not in English, the transcripts must be translated
- If it is a three-year degree, credential evaluation is required
- If it is a four-year degree, the student should submit transcripts to be reviewed by an international admissions coordinator
Tuition Fees
-
International Applies to you
Applies to youNon-residents49595 USD / year≈ 49595 USD / year - Out-of-State48195 USD / year≈ 48195 USD / year
-
Domestic
Applies to youIn-State39975 USD / year≈ 39975 USD / year
Living costs
Atlanta
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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