Overview
The Data Science and Analytics - Big Data and Machine Learning MSA at Georgia State University provides a comprehensive education at the intersection of computer science, statistics, and practical data application. This advanced programme is designed to equip students with the technical expertise required to navigate and lead in today's data-driven global economy.
Students engage with a curriculum that emphasises the transformation of massive datasets into actionable insights. By blending theoretical foundations with hands-on experience, the programme ensures that graduates are prepared to solve complex problems across various industries. The course structure promotes collaborative problem-solving and the mastery of sophisticated analytical tools.
Why Data Science and Analytics - Big Data and Machine Learning at Georgia State University?
Georgia State University offers a distinctive learning environment located at the Atlanta Campus, providing students with access to a vibrant technological hub. The programme is led by expert faculty and focuses on cutting-edge areas such as data intelligence and reproducible data analysis. Students benefit from interdisciplinary collaborations and the opportunity to participate in intensive data science sprints or faculty-supervised projects.
Tuition Fee Breakdown
- International fee: USD 16651 per semester
- National fee: USD 16180 per semester
- Local fee: USD 4895 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of 30 to 34 credit hours, including core coursework and a significant capstone project. Modules may include:
- Data Analysis and Visualization
- Statistical Methods
- Machine Learning and Predictive Analytics
- Big Data Technologies
- Ethical and Legal Aspects of Data Science
- Information Retrieval
- Knowledge Visualization and Communication
Careers with Data Science and Analytics - Big Data and Machine Learning
Graduates are well-positioned for the rapidly expanding job market, where data scientists see significant employment growth. The programme prepares individuals for leadership roles in managing data-driven projects and making informed strategic decisions.
The training provided ensures that graduates can adhere to high ethical standards while utilising advanced tools for data interpretation in professional environments.
Programme Structure
Courses include:
- Parallel Algorithms
- Deductive Databases and Logic Programming
- Databases and the Web
- Advanced Database Systems
- Spatial and Scientific Databases
- Advanced Data Mining
- Graph Mining
- Computational Intelligence
- Advanced Machine Learning
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
Credits
Delivered
Campus Location
- Atlanta, United States
Disciplines
Data Science & Big Data Machine Learning Data Analytics View 471 other Masters in Data Science & Big Data 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
Other requirements
General requirements
A complete application to the MSA in Data Science and Analytics program includes:
- Submitted Online Application
- Application fee
- Personal Statement
- English Language test scores (International applicants only)
- Two letters of recommendation
- Upload Transcripts from each post-secondary college/university attended
Tuition Fees
-
International Applies to you
Applies to youNon-residents33302 USD / year≈ 33302 USD / year - Out-of-State32360 USD / year≈ 32360 USD / year
-
Domestic
Applies to youIn-State9790 USD / year≈ 9790 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 - Big Data and Machine Learning.
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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