Gain future-ready skills in Machine Learning, AI, and Big Data—guided by expert faculty and real-world applications.
Master Data. Drive Innovation. Transform Your Career.
Backed by 150 Years of Excellence
AUG – GLOBAL CAMPUS
What Sets Us Apart
Academic Excellence Since 1875
Built on the legacy of The American College of Greece—150 years of prestige and rigor.
Built for Tomorrow’s Data Leaders
Curriculum aligned with top industry demands: AI, Cloud, Big Data, Python & more.
15:1 Student to Professor Class Sizes
You’ll get personalized attention, meaningful feedback, and professors who actually know your name.
Hands-On Learning, Real Projects
Build an employer-ready portfolio with GitHub-hosted solutions and real-world datasets.
Earn Your Degree for Under $15k
Scholarships Available.
Build Your Skills. Advance Your Career.
Master Python, AI, and cloud-based technologies—then showcase your expertise through hands-on, portfolio-ready projects.
Data Science Fundamentals
Throughout the course, students will gain hands-on experience with Jupyter Notebooks, Python, Pandas, Matplotlib, Seaborn, and Scikit-Learn.
Description:
Designed for aspiring data scientists, this foundational course covers essential tools, concepts, and mathematical foundations needed for a successful career in the data domain. Throughout the course, students will gain hands-on experience with Jupyter Notebooks, Python, Pandas, Matplotlib, Seaborn, and Scikit-Learn. Students will learn to manipulate data, create remarkable visualizations, and build basic machine learning models. The course includes basic regression and classification techniques with corresponding model evaluation metrics, as well as K-means clustering as part of basic unsupervised learning. Additionally, the course demonstrates the power of Jupyter Notebooks, management of library dependencies through virtual environments in Python, and version control of code with Git for collaborations and building a portfolio of data science solutions. This course serves as the gateway to the overall master’s program, equipping students with the skills to tackle more advanced data science challenges.
Career Opportunities
Data Strategist, Decision Scientist, Marketing Analyst, Supply Chain Analyst
Feature Engineering
Feature engineering is the secret sauce that turns raw data into gold. It is the process of extracting meaningful features from raw data to enhance the performance of machine learning models.
Description:
This course covers techniques like feature transformation, encoding categorical variables, binning, creating interaction and polynomial features, extracting time-based features, selecting and evaluating feature importance, and feature elimination techniques. Students will also learn dimensionality reduction methods and how to handle imbalanced datasets. By the end of the course, students will have the skills to improve their data science and engineering projects for more accurate and robust models.
Career Opportunities
Machine Learning Engineer, Deep Learning Engineer, Cloud Data Engineer, AI/ML Model Optimization Specialist
Big Data Processing
Students will gain hands-on experience with Apache Spark and learn to design scalable, fault-tolerant, and efficient data systems using AWS cloud provider
Description:
Big Data has revolutionized how organizations process, analyze, and extract insights from vast amounts of information. This course covers the foundational principles of Big Data system design, including the map-reduce processing paradigm, batch and streaming data processing, and Big Data-oriented database architectures. Students will gain hands-on experience with Apache Spark and learn to design scalable, fault-tolerant, and efficient data systems using AWS cloud provider.
Career Opportunities
Big Data Engineer, Data Mining Specialist, Business Intelligence (BI) Analyst, Cloud Data Engineers, Data Architect
Data Visualization and Storytelling
In today's data-driven world, the ability to extract actionable insights from data and communicate them effectively is crucial.
Description:
This course offers a deep dive into the art of data visualization and storytelling, combining theoretical foundations with hands-on training in building graphs and dashboards using Python. Students will learn to design compelling visuals, construct data-driven narratives, and present their findings to persuade and inspire action. The course covers advanced Python libraries used for both data exploration and explanation, including Plotly and Streamlit. Practical experience with real-world datasets and personalized feedback from experienced instructors will be provided.
Career Opportunities
Artificial Intelligence (AI) Specialist, Predictive Modeler, Data Storyteller / Data Journalist, UX Research/Data Analyst
Project Management in Data Science
Project Management is the art of planning, executing, and overseeing projects to achieve specific goals within defined constraints.
Description:
This course combines project management topics with their application to complex data science ecosystems. Students will learn about planning, organizing, resourcing, monitoring, privacy regulations, ethical considerations. Participants will learn the concept of treating data as a product, understand the difference between data producer and data provider, the concept of Data Mesh architecture and the roles of Data Officer, Data Owner and Data Stewards.
Career Opportunities
Data Infrastructure Architect, Data Governance Specialist, Data Officer (Chief Data Officer or CDO support roles)
Description:
Designed for aspiring data scientists, this foundational course covers essential tools, concepts, and mathematical foundations needed for a successful career in the data domain. Throughout the course, students will gain hands-on experience with Jupyter Notebooks, Python, Pandas, Matplotlib, Seaborn, and Scikit-Learn. Students will learn to manipulate data, create remarkable visualizations, and build basic machine learning models. The course includes basic regression and classification techniques with corresponding model evaluation metrics, as well as K-means clustering as part of basic unsupervised learning. Additionally, the course demonstrates the power of Jupyter Notebooks, management of library dependencies through virtual environments in Python, and version control of code with Git for collaborations and building a portfolio of data science solutions. This course serves as the gateway to the overall master’s program, equipping students with the skills to tackle more advanced data science challenges.
Career Opportunities
Data Strategist, Decision Scientist, Marketing Analyst, Supply Chain Analyst
Description:
This course covers techniques like feature transformation, encoding categorical variables, binning, creating interaction and polynomial features, extracting time-based features, selecting and evaluating feature importance, and feature elimination techniques. Students will also learn dimensionality reduction methods and how to handle imbalanced datasets. By the end of the course, students will have the skills to improve their data science and engineering projects for more accurate and robust models.
Career Opportunities
Machine Learning Engineer, Deep Learning Engineer, Cloud Data Engineer, AI/ML Model Optimization Specialist
Description:
Big Data has revolutionized how organizations process, analyze, and extract insights from vast amounts of information. This course covers the foundational principles of Big Data system design, including the map-reduce processing paradigm, batch and streaming data processing, and Big Data-oriented database architectures. Students will gain hands-on experience with Apache Spark and learn to design scalable, fault-tolerant, and efficient data systems using AWS cloud provider.
Career Opportunities
Big Data Engineer, Data Mining Specialist, Business Intelligence (BI) Analyst, Cloud Data Engineers, Data Architect
Description:
This course offers a deep dive into the art of data visualization and storytelling, combining theoretical foundations with hands-on training in building graphs and dashboards using Python. Students will learn to design compelling visuals, construct data-driven narratives, and present their findings to persuade and inspire action. The course covers advanced Python libraries used for both data exploration and explanation, including Plotly and Streamlit. Practical experience with real-world datasets and personalized feedback from experienced instructors will be provided.
Career Opportunities
Artificial Intelligence (AI) Specialist, Predictive Modeler, Data Storyteller / Data Journalist, UX Research/Data Analyst
Description:
This course combines project management topics with their application to complex data science ecosystems. Students will learn about planning, organizing, resourcing, monitoring, privacy regulations, ethical considerations. Participants will learn the concept of treating data as a product, understand the difference between data producer and data provider, the concept of Data Mesh architecture and the roles of Data Officer, Data Owner and Data Stewards.
Career Opportunities
Data Infrastructure Architect, Data Governance Specialist, Data Officer (Chief Data Officer or CDO support roles)
Data Science Experts & Thought Leaders.
Simple Application. Affordable Tuition. Generous Scholarships.
Join a prestigious academic community—at a fraction of the cost of U.S.-based programs.
- Accepting Applications for Sept 2025
- Earn your degree for under $15k
- Bachelor’s degree required
- 1.5 Year Program
Request more information and see if you qualify for a scholarship.
Online Learning, Real Community.
Just because it’s virtual doesn’t mean you’re on your own.
AUG’s online Data Science program is built around collaboration—with breakout rooms, group projects, live sessions, and discussion-based learning. You’ll work closely with peers, get to know your professors, and take part in optional virtual events, mentorship programs, and even periodic in-person meetups in select cities. It’s a connected, supportive experience that makes online learning feel truly personal and engaging.
15:1
Ratio
Student to Professor
150
Years of History
Founded in 1875
60k+
Alumni
Globally
Have Questions? Let’s Talk.
Considering an MA degree in Learning Design and Technology is a big decision—and we’re here to help you make the right one. Whether you have questions about programs, career paths, or the application process, our advisors are ready to talk it through.