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    New Media and Information Management Category

    New Media and Information Management Category

    A revolutionary way for working professionals to advance their careers through education tailor-made to their needs.

    new media and information management COURSES


    Big Data and Decision Support

    This course focuses on providing an overview of big data approaches and applications, and to gain a critical understanding of opportunities and limitations of big data analysis. This should help students to better assess big data analyses and tools for decision support.


    Learning outcomes from the course:

    • Understand what Big Data is and comprehend the characteristics of Big Data
    • Know how Big Data impact different businesses and identify different sources of Big Data
    • Learn Big Data platforms and understand how Big Data is related to Data Science
    • Experience some of the technologies used to manage Big Data
    • Identify types of Big Data structured, unstructured and semi-structured
    • Compare Machine generated vs. people generated data
    • How to process Big Data and why we need Hadoop to process Big Data
    • Course Schedule

    Latest Trends in New Media and Human-Computer Interaction

    This course focuses on the current trends in human-computer interaction. Based on some older examples, it shows how user interfaces improved over time, but also how new challenges continuously demanded new developments. Many ideas go back a long time, but only recent technological advances made it possible to fully harness the possibilities.


    Learning outcomes from the course:

    • Understand the implementations methods and identify what is possible and when to apply it
    • Learn about the application of human-computer interaction in the interactive visual analysis of data
    • Identify the distinction between the concept of interactions to solve tasks and the concept of interactions as dealing with a certain kind of device; (2) recent developments in user interfaces; and (3) challenges and opportunities of web applications, including the blurring of human-computer interaction and computer-mediated human-human interaction
    • Course Schedule

    Visualization Techniques for Management

    This module focuses on the visualization is a key communication enabler in management. The module gives an overview on the visualization field and its methods and shows key models in information and knowledge visualization as well as contextual prerequisites for the use of visualization in management. State-of-the-art tools in information and knowledge visualization as well as proven visual methods for management will be demonstrated.

    Learning outcomes from the course:

    • The aim of this course is to develop students’ understanding of the key concepts and principles of visualization.
    • Understand the key benefits of visualization techniques for management
    • Know the main kinds of visualizations for the management context
    • Be aware of the risks or potential drawbacks of visualization
    • Understand the basic design and perception laws when using visual methods
    • Experience select tools to visualize knowledge individually and collaboratively
    • Experience some of the emerging trends, tools and technologies in this domain

    • Course Schedule
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    Telecommunication - Marketing, Branding, Sales

    This course focuses in Telecommunications one of the fastest growing and most competitive industries in today’s world. How to position, develop and measure brands determines the success or failure of companies. Due to the intangible nature of telecommunications products, their development, communication and distribution are inter-related and demanding tasks. During the course students will get hands-on experience from an industry expert as well as marketing insights by conducting topical case studies.

    Learning outcomes from the course:

    • Develop knowledge of the marketing tools and their efficient utilization to optimize business results in a dynamic and competitive environment
    • Understand and be able to integrate new media developments into classical marketing tool set
    • Course Schedule
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    Media Asset Management and Utilization

    This course focuses on showing at how the management and re-use of audiovisual content is changing for the modern enterprise, highlight key technologies and trends, and examine collaboratively how future business can leverage audiovisual material and benefit from a better media management and re-use strategy.

    Learning outcomes from the course:

    • Develop a deeper understanding for the importance and role of media assets within the enterprise, both as an internal benefit and as a complement to existing and new product or service offering
    • Learn how to better manage and re-use media assets in internal processes and workflows as well as part of new and extended business models
    • Understand how market and technology trends are changing classical media workflows and value chains
    • Gain an awareness of how media content will be more flexibly exchanged across organisational boundaries in the future and how creator rights can be respected
    • Know how to plan from a business perspective how to better leverage company media assets
    • Understanding of trends and developments in the online media and tourism markets
    • Respect digital rights both in the use of their companies own media assets and in the re-use of media assets acquired from other organizations
    • Course Schedule
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    Social Network Analysis

    This course focuses on the theory and methodology of social network analysis (SNA). Particular attention will be paid to the theoretical foundations of SNA and to methodological insights of interest to political scientists. Each session will consist of a lecture to be followed by a seminar and a lab. In the seminars we will discuss papers with methodological interest framed around politics related questions. In the lab sessions we will familiarise with some key software (UCINET, NETDRAW) but note this is not a software course.

    Learning outcomes from the course:

    Participants will be introduced to the theory and methods of Social Network Analysis. Participants are not expected to have familiarity with SNA or competence in statistical analysis beyond an elementary understanding of frequency distributions.
    In this course we will:
    • introduce some key theoretical concepts underlying social network analysis
    • introduce some key methodological tools for the analysis of networks in social science research
    • demonstrate a number of different statistical packages by focusing on network descriptive statistics
    • introduce methods for data collection and how to operationalize research employing SNA
    This course is intended to stimulate the intellectual curiosity of scholars and provide a guide for those wishing to dwell further in the theory and methods of SNA.
    • Course Schedule
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    Corporate Partners

    Get in Touch

    contact us

    Samer Kharret

    Professional Education


    T. +971 4 510 1417

    M. +971 52 646 1878

    E. samer.kharrat@modul.ac.ae


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