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1st Semester

Elective courses 2 x 7,5 credits
Two from the following three courses

Enterprise Computing and ERP Systems 7,5 credits

The course discusses how enterprise information systems support organizations in value chains and supply chains. The course introduces a number of modern enterprise modelling techniques based on linguistic instruments and economic ontologies. It is shown how these techniques support requirements elicitation for enterprise information systems design.

Data mining in Computer and System Sciences 7,5 credits

As data is becoming more and more readily available, the need to analyse and make use of these large amounts of data is rapidly growing. Data mining deals with techniques that can find interesting and useful patterns in large volumes of data. This course covers basic concepts, techniques and algorithms in data mining combined with hands-on experimentation.

Advanced Requirements Engineering of IT-systems 7,5 credits

Requirements engineering (RE) plays a fundamental role within the systems development process. The goal of this course is to bring in the concepts, methods, techniques and practices needed in the eliciting, analysing, documenting, validating and managing requirements for agile information systems. It explains how RE fits a broader systems development process, and provides an understanding of the main challenges in requirements engineering nowadays.

Mandatory course 1 x 7,5 credits

Empirical Research Methodology for Computer and Systems Sciences 7,5 credits

The course introduces and provides training in basic aspects of empirical research methodology. These include:

  • to find, summarize, evaluate and compare scientific literature,
  • quote, refer and paraphrase scientific literature,
  • justify a scientific study,
  • quantitative data types, data collection methods and data analysis methods and
  • qualitative data types, data collection methods and data analysis methods.

Elective course 1 x 7,5 credits
One from the following four courses

Introduction to Information Security 7,5 credits

The course is primarily an introductory course that prepares students for advanced studies in the field of information security and digital security. The course therefore provides a general conceptual framework for the subject area and provide familiarity with the terminology that is relevant to the more specialised security and forensics courses offered by the department.

Management of Global IT Resources 7,5 credits

The trend towards globalisation has determined the multinational companies to increase their attention on the role of information technologies in support of their global operations. In this perspective, the course is addressing the important issues and challenges in managing IT resources in multinational companies.

Big Data with NoSQL Databases 7,5 credits

In this course you will look at technologies, such as Hadoop, developed to handle huge amounts of data. These amounts of data cannot usually be handled by traditional database management systems due to the volume, variation and speed of the data. Alternative forms of representations of data have therefore evolved within the NoSQL framework. The course also deals with predictive modelling with Big data and typical applications.

Research topics in Data Science 7,5 credits

This course introduces current research topics in computer science, which deals with methods and techniques for collecting, organizing and analysing data in order to extract new knowledge. The course provides students with training in identifying and formulating research questions in the area, selecting and applying research methods, planning and carrying out studies, including the collection and analysis of data and reporting results and draw conclusions, and relate them to previous work.

2nd Semester

Elective courses 2 x 7,5 (15) credits
From Master elective courses spring

Mandatory course 15 credits

Master Thesis 15 credits

Information about Master Thesis

The courses may change depending on the academic staff of DSV.