Curriculum · ADA — Applied Data Analytics

4 semesters.
One complete
journey.

Every course listed below comes with a full syllabus. Filter by year and semester to find mandatory courses, electives, and international modules — all taught in English.

26 Courses total
4 Semesters
120 ECTS credits
3 Intl. modules
Filter
Year 1 · Autumn

Foundations

28 ECTS
Applied Mathematics — Probability Theory
Exam Mandatory 7 credits
Syllabus
Data Science with Python
Exam Mandatory 6 credits
Syllabus
Data Mining Principles
Exam Mandatory 6 credits
Syllabus
Data Science Approach to Asset Pricing
Assessment Mandatory 5 credits
Syllabus
Survey and Measurement Methodology
Assessment Elective 6 credits
Syllabus
Data Management for Data Science
Assessment Elective 6 credits
Syllabus
Year 1 · Spring

Advanced Modelling

23 ECTS
Machine Learning and Predictive Analytics
Exam Mandatory 6 credits
Syllabus
Soft Computing
Assessment Mandatory 6 credits
Syllabus
Text Mining
Exam Mandatory 5 credits
Syllabus
Data Visualisation Techniques
Exam Mandatory 6 credits
Syllabus
Year 2 · Autumn

Big Data & AI

43 ECTS
Complex Systems
Assessment Mandatory 5 credits
Syllabus
Digital Storytelling
Exam Mandatory 6 credits
Syllabus
Big Data Platforms
Exam Elective 7 credits
Syllabus
Geographical Information Systems (GIS)
Exam Elective 7 credits
Syllabus
Time Series Analysis and Forecasting
Exam Elective 6 credits
Syllabus
Linear and Nonlinear Models for Business Application
Exam Elective 6 credits
Syllabus
Optimization and Simulation Methods for Analytics
Assessment Elective 6 credits
Syllabus
Bayesian Methods
Assessment Elective 6 credits
Syllabus
Year 2 · Spring

Applied & Dissertation

30 ECTS
Internship
Colloquium Mandatory 15 credits
Syllabus
Scientific Seminar
Assessment Mandatory 5 credits
Syllabus
Ethics and Academic Integrity
Assessment Mandatory 5 credits
Syllabus
Spatial Econometrics
Exam Mandatory 5 credits
Syllabus
Preparation for Defense of Dissertation
Mandatory 0 credits
Syllabus
International Modules

One international professor per semester, every year.

In each of the first three semesters, one modular course is delivered by a visiting academic from outside Romania — researchers with publications in top-ranked international journals.

Semester 1
GD
Gurjeet Dhesi
London South Bank University · UK
Modular course · Year 1
Semester 2
PF
Paolo Fantozzi
LUMPHSA University Rome · Italy
Modular course · Year 1
Semester 3
RC
Roy Cerqueti
Sapienza University of Rome · Italy
Modular course · Year 2
+ GRAPES Collaboration — Group of Researchers for Applications of Physics in Economy and Sociology, Liège, Belgium. Students gain access to an international research network in econophysics and applied statistics.
Career Outcomes

Where ADA graduates work.

These 4 semesters translate directly into career capital. Here's what the market looks like for data professionals coming out of a program like this.

Typical roles
Data Scientist Data Analyst Quantitative Analyst ML Engineer BI Specialist Risk Analyst Research Analyst Marketing Analyst Statistician
Top industries
  • Banking & FintechRisk · Fraud · Pricing
  • ConsultingAnalytics · Strategy
  • Tech & ProductA/B · ML · Data Eng
  • Pharma & HealthcareClinical · Research
  • Academic ResearchPhD · Publications
Admissions 2026

Apply now.
Start in autumn.

Sessions run in July and September. The admission test is in English, covering Statistics and Econometrics topics.

Funded places 41
Total places 50
Language English · 100%
Admission test Statistics & Econometrics
Schedule Evening classes · 2 years
Sessions July · September
Legend
Exam type
Exam Assessment Colloquium
Course type
Mandatory Elective N credits