Turn data into decisions.
Turn data into decisions.
The Data & Analytics program area builds fluency across statistics, data engineering and applied machine learning — training students to turn raw data into decisions organizations can act on.
Students progress from statistical foundations and databases through to visualization, machine learning and a capstone project built on real-world data.
Who it's for
Learners aiming for careers as data analysts, data scientists or analytics-focused business professionals.
What you'll build expertise in.
Statistics & Probability
The mathematical foundation behind every data-driven decision, from hypothesis testing to inference.
Data Engineering
Working with databases, pipelines and the infrastructure that gets data ready for analysis.
Applied Machine Learning
Practical model-building, from first principles through to deployable analytics tools.
An indicative curriculum.
Modules below are indicative and confirmed with your admissions advisor ahead of each intake.
Statistical Foundations
Databases & SQL
Data Visualization
Machine Learning Fundamentals
Big Data Systems
Business Intelligence
Capstone Project
Example career paths for Data & Analytics graduates.
Everything you need to get started.
Prospective Students
Steps to apply, key deadlines and the documents you'll need to submit alongside your application.
Fees & Financial Aid
Tuition information, available scholarships and bursaries, and flexible payment methods.
International Applicants
Guidance for applicants outside Georgia — language requirements, visas and living arrangements.
Frequently asked questions.
Do I need a math or statistics background?
A basic comfort with math helps, but statistical foundations are taught from the ground up.
Will I work with real datasets?
Yes — coursework and the capstone project are built around real-world, messy datasets rather than toy examples.
What software will I use?
Students work with industry-standard analytics and visualization tools introduced progressively across the program.