Data Mining

Tutors
Prof. Ciprian Turturean, PhD.
Prof. Mircea Asandului, PhD.

Curriculum

  • First semester
    Quality and Data Validation
    Introduction to Python for Data Mining
    Data Processing and Analysis Languages for Data Mining
    Introduction to R
    Second semester
    Research Methodology
    Cluster and Ranking Analysis
    Decision Trees
    Optional courses: 1 out of 3
    Database Administration
    Data Warehouses
    Big Data for Machine Learning
    Supplementary Courses
    Accounting and information systems
    Modelling
    The educational plan is valid for the first year of study (2024/2025)
  • First semester
    Neural Networks
    Multiple Regression. Variance and Covariance Analysis
    Logistic Regression
    Optional courses: 1 out of 2
    Image Processing
    Statistical Processing of Text Data
    Supplementary Courses
    Accounting and Information Systems
    Modelling
    Second semester
    Ethics and Academic Integrity
    Master’s Thesis Preparation
    Bayesian Statistics
    Structural Equation Models
    Scaling and Conjoint Analysis
    Internship
    The educational plan is valid for the 2nd year of study (2024/2025)


The need for specialists able to create and manage large databases, extract information using statistical methods and provide support for decision-making is emphasised by an increasing number of competent voices in the public sphere. Concepts such as Big Data, Data Analyst, Data Scientist, Data Mining are currently among the areas of interest of specialists from universities, research institutes and companies. At a time when computer power is growing exponentially, databases are larger and increasingly complex, which calls for specialists with mixed skills in the area of statistics and informatics, able to work in the new and dynamic conditions of the global market.

Specific Objectives

– Training high-level specialists capable to:

  • Elaborate and implement databases and data storage strategies;
  • Manage the structure and quality of the data relevant for an organisation, with a view to increase their value;
  • Assess the methods and tools that are adequate for data analysis within specific organisational contexts;
  • Apply advanced data analysis methods within a wide range of organisational environments;
  • Build analysis and predictive models by using adequate tools.

– Ongoing training of the employees, in order to improve the practical experience within an organisation by using data analysis methods and specialised programme packages.
– Research development in Data Mining.

The graduates of this study programme can work in: Market research companies, (outsourcing) services companies; IT companies, Social media companies; Finance-Banking institutions; Healthcare institutions; Research centres in the private and public sector; Consultancy Firms, Companies, etc.