Turn data
into decisions.
Data into careers.
Applied Data Analytics — a Master's programme in English built for those who want to work with Machine Learning, Big Data and AI in the real economy.
out of 50 total
UK · Italy · Belgium
in English
evening classes
from 3 departments
A master's built for real careers, not for a shelf.
The programme blends statistical rigour with modern data science tools, in a flexible format designed for students who want to enter the job market quickly or pivot their professional direction.
Real-world tech stack
Python, R, SQL, Big Data platforms and ML frameworks. You use the technologies employers actually look for — not just theory on a whiteboard.
International faculty
Each semester features a modular course with a visiting lecturer from the UK, Italy or Belgium. International perspective built directly into the programme.
Maximum flexibility
Evening classes on weekdays. Elective courses across the first 3 semesters. Ideal if you're already working or making a career transition.
For a career, not a shelf
Internship in semester 4 plus an applied dissertation. You graduate with a portfolio, not just a diploma on the wall.
4 semesters from fundamentals to Big Data and Machine Learning.
The curriculum builds progressively: from applied mathematics and Python, through to Machine Learning, Big Data and spatial econometrics. Each semester also includes elective courses for personalisation.
- Applied Mathematics
- Data Science with Python
- Data Mining Principles
- Survey Methodology
- + Elective courses
- Machine Learning & Predictive
- Soft Computing
- Text Mining
- Data Visualisation
- + Neural & Social Networks
- Complex Systems
- Big Data Platforms
- Geographical Systems (GIS)
- Time Series & Forecasting
- + Bayesian Models
- Internship
- Scientific Seminar
- Ethics & Academic Integrity
- Spatial Econometrics
- Dissertation
3 professors from 3 international universities, every year.
In each of the first three semesters, a modular course is delivered by a visiting academic from outside Romania — researchers with publications in top-ranked international journals.
Gurjeet Dhesi
Paolo Fantozzi
Roy Cerqueti
Three profiles, one destination: data science.
The bachelor's graduate
You want a clear direction into data science after a degree in economics, computer science, mathematics or statistics. ADA is your technical + economic launchpad.
The professional reskilling
You're already working, but want to reposition yourself in data, AI or analytics. Evening classes make this possible without quitting your job.
The future researcher
You're looking towards a PhD in statistics, econometrics or data science. ADA gives you the methodological rigour and international connections to get there.
After ADA, you work with data wherever decisions depend on it.
Typical roles
Top industries
- Banking & FintechRisk · Fraud · Pricing
- ConsultingAnalytics · Strategy
- Tech & ProductA/B · ML · Data Eng
- Pharma & HealthcareClinical · Research
- Academic ResearchPhD · Publications
Apply now.
Start in autumn.
Admission sessions run in July and September. The test is in English, covering topics aligned with Statistics and Econometrics.