Data Mining

Tutors
Prof. Dănuţ Jemna, PhD.
Assoc. Ciprian Turtureanu, PhD.

Prerequisites
Fundamentals of Statistics or Econometrics, Business or Mathematics Software Tools
Curriculum

  • Compulsory Courses
    Data Quality and Validation
    Tabulation and Data Visualisation
    BD Logic in Business Applications
    Introduction to R
    Research Methodology
    Cluster Analysis and Hierarchy
    Decision Trees
    Elective Courses
    BD Administration
    Data Repositories
    Big Data
    Optional Courses
    Probabilities and Mathematics Statistics
    Programming 1
    Introduction to Data Mining
    Fundamentals of Statistics and Econometric Research
    Operational Research
  • Compulsory Courses
    Neural Networks
    Multiple Regression. Variance and Covariance Analysis
    Logistic Regression
    Research/ Documentation Internship and Master’s Thesis Elaboration
    Bayesian Statistics
    Structural Equation Models
    Scaling and Conjoint Analysis
    Internship
    Elective Courses
    Assisting Systems for Decision-Making
    CRM (Customer Relationship Management)
    Non-Compulsory Courses
    Surveys
    Programming 2
    Spatial Statistics
    Web Site Development

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.