Data Analytics

Study mode:On campus Study type:Full-time Languages: English
Local:$ 954 / Year(s) Foreign:$ 954 / Year(s) Deadline: Mar 1, 2025
103 place StudyQA ranking:2644 Duration:2 years

Photos of university / #thefoundry_ugent

A business engineer has a thorough knowledge of the discipline of business administration and technology, i.e. technological products and processes. In this respect, a business engineer may act as a mediator between technical and businiess economic psoitions to conduct data analysis, modelling and decision-making. He is trained to develop and implement business solutions starting from a model to a business process. The Master of Science in Business Engineering is a programme in business administration that focuses on the following subdisciplines: Management science, Business processes and Technology. These three subdisciplines are educated throughout the two-year master programme in different manners through theoretical lectures, practical case studies and business games as well as guest speakers and company projects.

Where the Bachelor of Science in Business Engineering mainly lays the (quantitative) foundation, the master programme studies different aspects of these subdisciplines in a more applied manner. The specific content of the study that links business analytics and business processes with technology helps to translate processes into business models and organisational structures into information systems. Business operations within a single company and between companies in a supply chain, that encompass processes and the logistical flow of products, services and/or information, are studied thoroughly by data analysis techniques, conceptual or mathematical modelling techniques and techniques of decision making. These tools support the efficient organisation of resources in companies towards its common goals and objectives.

The discipline Data Analytics mainly emphasises ‘Business Intelligence’ and refers to the analysis of business data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better business decisions. McKinsey and Gartner claim that there is an enormous shortage of graduates in this field. Due to the more quantitative schooling of business engineers, emphasis is placed on price-fixing, analytical customer management systems (analytical Customer Relationship Management = aCRM), predictive and prescriptive analytics as well as more recent evolutions in Big Data, social media and web analysis.

General Courses

  • Strategic Management
  • Environmental Technology
  • Human Resources Management [en, nl]
  • System Dynamics
  • Business Skills [en, nl]
  • Business-to-business Marketing
  • Managing Service Organisations
  • Implementation and Management of ICT within an Organisation
  • Innovation and Technology Management
  • Business Process Management
  • Financing High Tech Entrepreneurial Companies
  • High Tech Marketing
  • Master's Dissertation

Courses Related to the Main Subject

  • Social Media and Web Analytics
  • Analytical Customer Relationship Management
  • Pricing and Revenue Management
  • Predictive and Prescriptive Analytics
  • Big Data

Elective Advanced Courses  

  • Investment Analysis
  • Financial Risk Management
  • Financial Planning
  • Advanced Investment Analysis
  • Valuation and Financial Risk Management
  • Advanced Production Management
  • Total Quality Management
  • Decision Making for Business
  • Supply Chain Management
  • Bayesian Statistics
  • Econometrics: Time Series Analysis
  • International Business Cases in IT
  • Project-based Systems Analysis and Design
  • Service Implementation
  • Work Placement [nl]
  • Artificial Intelligence
  • Big Data Science
  • Clean Technology
  • Discrete Algorithms
  • Rational Use of Materials
  • Heuristics and Search Methods
  • Methods Engineering and Work Measurement
  • Information Management [nl]
  • Information Technology and Data Processing
  • Machine Learning
  • Network Modelling and Design
  • Project Management
  • Quality Engineering and Industrial Statistics
  • Queueing Theory
  • Simulation of Manufacturing and Service Systems
  • Software Architecture
  • Software Management
  • Total Plant Automation

Elective General Courses

  • Economics of Banking
  • Economics of Financial Markets
  • Advanced Econometrics: Non-linear Methods
  • Microeconomics: Decision Theory [nl]
  • Monetary Economics
  • Insurances [nl]
  • Audit
  • Management Control
  • Taxation
  • Advanced Financial Statement Analysis
  • Market Research Methods
  • Corporate Social Responsibility [nl]
  • Ethics, Engineering and Society [nl]
  • Health Economics [nl]
  • Economic Analysis of Law [nl]

Elective Courses Academic Teacher Education

  • The Teacher within School and Society [nl]
  • Interaction and Communication in the Classroom [nl]
  • Classroom Management and Reflection
  • Powerful Learning Environments [nl]
  • Psychology of Adolescence

Requirements

  • The course is open to students with at least a bachelor's degree
  • Reference letters
  • A TOEFL-TEST with a minimum score of 90 (internet-based). Test participants should specify the "institution code" 2643 for UGent and 0749 for KULeuven, so that the score can be sent directly to the university.
  • An original 'academic test report form' (TRF) from IELTS with a minimum overall band score of 7.0.
  • A certificate awarded by the Ghent University Language Centre confirming proficiency in English, CEF-level B2
  • Certificate Practical English 5, Upper-Intermediate Academic English or Preparing for an English test, issued by the Ghent University Language Centre.
  • Cambridge-ESOL: First certificate in English (FCE)
  • Enrollment fee of Ghent University for academic year 2016-2017 is 890 € for EER-students and students from OESO-DAC-list (developing countries), all other students pay an enrollment fee of 5330 €

Scholarships

  • Ghent University Master grants
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