Overview
The M.Sc. in Data Science at Augusta University provides students with the advanced quantitative skills necessary to navigate and analyse complex datasets. This programme focuses on developing expertise in machine learning tools and strategic data management to address modern challenges. Students benefit from a curriculum that blends theoretical foundations with practical, real-world applications in a dynamic research environment.
Why Data Science at Augusta University?
As one of the four primary research universities in Georgia, Augusta University offers students unparalleled access to groundbreaking research projects and celebrated faculty. The School of Public Health provides a unique setting where data science is applied to urgent health challenges and community well-being. Students can utilise cutting-edge resources and facilities to refine their abilities in gathering and deciphering extensive datasets for impactful change.
Tuition Fee Breakdown
- International fee: USD 14285 per semester
- National fee: USD 13882 per semester
- Local fee: USD 4801 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of 30 hours of core coursework and specialised electives, culminating in a mandatory capstone project. Modules may include:
- Data Science
- Cybersecurity
- Genomics
- Machine Learning
- Quantitative Methods
- Data Management
- Calculus
- Linear Algebra
- Statistical Reasoning
Careers with Data Science
Graduates are prepared for high-growth roles in a variety of professional settings, with the field expected to expand significantly over the next decade. The programme equips individuals for careers as data scientists, where they can apply their skills to influence population health and industry innovation. According to industry data, professionals in this sector often secure roles with competitive median salaries exceeding $100,000 per year. The training provided ensures that alumni are ready for the challenges of diverse work environments, from research institutions to corporate organisations.
Programme Structure
Courses include:
- Statistical Models and Methods
- Programming for Data Analysis
- Computing for Data Science
- Modern Methods of Multivariate Analysis
- Statistical and Machine Learning for Big Data
- Legal Issues in Information Security
- Genetic Analysis
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Augusta, United States
Disciplines
Data Science & Big Data View 471 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Other requirements
General requirements
- GPA
- Degree Requirement
- Official Transcripts
- Unofficial Transcripts
- Transcript/Credential Evaluation of Foreign Transcripts
- Letters of Recommendation (3)
- Standardized Test Requirements
- English Proficiency Exam (if applicable)
Tuition Fees
-
International Applies to you
Applies to youNon-residents28570 USD / year≈ 28570 USD / year - Out-of-State27764 USD / year≈ 27764 USD / year
-
Domestic
Applies to youIn-State9602 USD / year≈ 9602 USD / year
Living costs
Augusta
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.
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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