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    Syracuse University
   
 
  Sep 20, 2017
 
 
    
2017-2018 Graduate Course Catalog

Enterprise Data Systems, MS


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Carlos E. Caicedo Bastidas, Faculty Curriculum Lead, 215 Hinds Hall, 315-443-2911

Carsten Oesterlund, Program Director, 309 Hinds Hall, 315-443-2911, igrad@syr.edu

Website:

https://ischool.syr.edu/academics/graduate/masters-degrees/ms-in-enterprise-data-systems/

Overview:

The MS in Enterprise Data Systems (EDS) from the iSchool is designed for students who want to prepare professionally to manage, design, support and optimize the infrastructure that supports the digital enterprise. EDS teaches both conventional and future network infrastructures, along with the devices, services, protocols, standards, and applications that are transforming the enterprise.

The Gartner Organization predicts that by 2018, growth and use of mobile, social media, sensors, and big data will have resulted in an Internet of Things (IoT) that connects billions of devices through networks throughout the world. This level of connectivity has created a demand for skilled professionals who understand cloud computing and have the ability to design, configure, and manage modern digital enterprise cloud environments.

Enterprise Data Systems at the iSchool is a unique program that provides a wide variety of opportunities in IT and data-centric organizations in sectors, such as finance, consulting, health, and more. 

Learning Outcomes:

After completing this program, students will be able to:

  • Apply management techniques, policies, technologies, and methods to integrate data intensive processes with the data processing and communication infrastructure that can support them.
  • Plan, configure and manage information services which support the operation and scalability of secure enterprise information environments.
  • Design, configure, and manage cloud, hybrid, and on-premises based information services in digital enterprise environments.
  • Plan, configure and manage interconnected, virtual, and software defined networked environments.
  • Evaluate solutions and systems for the analysis and management of data within an enterprise environment
  • Create integrated solutions for the support of data collection, analysis, modeling and reporting tasks in digital enterprise data environments
  • Demonstrate in-depth competence in at least one chosen focus area where knowledge and skills are applied to a particular domain of enterprise data systems.

Curriculum:


This master’s program requires the completion of 36 credit hours. The 36 credit hours include a primary core composed of 21 required course credits and a non-credit residency milestone, 12 secondary focus area credits and 3 exit requirement credits. All courses are three credits unless specified otherwise.

The five secondary focus areas and the courses mentioned for each area are key to educating individuals who can achieve detailed understanding of the requirements and issues related to the design and management of current and future information system infrastructures (cloud, virtualized information systems, software defined networks, etc.) and services in digital enterprise environments.

I. Primary Core: (21 credits)


This set of seven courses gives students an understanding and solid background of key concepts and procedures required to understand the technical, security, policy and management principles of current and future information systems.

II. Secondary Focus Areas (choose 12 credits)


Note: In addition to the following, students may also create a custom secondary focus area with advisor guidance and approval of the program director.

Cloud and Virtualized Information Environments


The courses in this focus area concentrate on planning, designing, and managing modern and future networked and information environments that rely on virtualized and software defined concepts.

Data Science Infrastructure & Applications


The courses in this focus area concentrate on topics related to the processing, management, and analysis of data and the information infrastructure and services that support modern enterprise data environments.

Enterprise IT Infrastructure Management


The courses in this focus area provide students with the capabilities to plan, analyze, and manage current and future enterprise IT information environments along with an understanding of the economic policy, risk and technical implications of their deployment and management.

Information Security Management


The courses in this focus area concentrate on topics related to the planning, analysis and management the information security policies, applications and infrastructure for modern and future enterprise information environments.

Mobile Services and Applications


The courses in this focus area concentrate on topics related to the planning, analysis, and management of enterprise mobile services and applications.

III. Graduate Residency Milestone:


This is a 2 to 3 day workshop that presents emerging topics in the information studies field. The workshop topics and presentations are designed to bring together students from all graduate programs in the school, feature guest speakers from commercial, government, community and educational organizations, and which are organized and coordinated by a lead faculty member. Two residency workshops will be delivered in the school per calendar year. Students in the MS-EDS program must complete one residency workshop during the duration of their program of studies.

IV. Exit Requirement: (3 credit hours)


The exit requirement is a capstone project-based course that can be taken after completion of 18 core course credits and the residency milestone. In this capstone course, the student and the supervising faculty member for the course set milestones and deliverables for a project that must cover at least three of the five focus areas of the program.

  • IST 754 - Capstone Project in Enterprise Data Systems 3 credit(s)
  • Student project ideas/requirements may come from:

    • Projects that are within the scope of work of the iSchool research centers and have been approved by the supervising faculty member of the course
    • Projects in external organizations that have been approved by the supervising faculty member of the course
    • Independent projects developed jointly by the student and a faculty member, and that are approved by the supervising faculty member of the course.

    Note: The first 2 to 4 weeks of the course will cover basic research methods theory and topics on document elaboration and presentation skills for professional environments.

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