ASU Sync classes for Fall 2020

Classes for on-campus students will be taught across three environments for the fall semester: in person, via Zoom, and 100% online.
See how ASU Sync will support your learning.

High tech specialization

With a W. P. Carey Full-time MBA specialization in high tech, you’ll build expertise aligned with your career goals, and discover how rapidly evolving technology relates to the business world.

Only nine hours are required to complete this specialization. Dive into courses and understand how research and development play a role in the industry, while exploring topics related to aerospace, computers, automatic machinery, and more.

Required course

You must complete the following required course and two approved electives in order to complete a Full-time MBA specialization in high tech at ASU’s W. P. Carey School of Business.

Understand organizational, strategic, and technical issues of the management of information. Covers evaluation, design, and use of information systems as a competitive advantage.

Electives

Learn a balanced and disciplined view of IT. Apply cases and assignments involving the symbiotic relationship of IT and business to provide real-world exposure for critical thinking and engaging discussion.

Gain an overview of the project management process groups and knowledge areas (defined by the PMBOK) and focus on the application of key concepts, tools, and techniques for delivering on time, on-budget IT projects and services that meet end-user needs.

Explore modern artificial intelligence (AI) technology, applications, techniques, and their implications for business. Learn about people, process, and technology factors related to the innovation and adoption of AI in commercial enterprises and how it will shape the future. Comprehend the implications for information systems professionals as it pertains to managing the AI infrastructure (robots, algorithms, platforms).

Study decision models and frameworks applied to assess, evaluate, and implement emerging technologies. Explore the principles of technological innovation on the adoption and diffusion of emerging technologies. Discusses the parameters that enable convergence and commoditization of technologies.

Respond to IT-enabled business models and business model innovation. Understand the broad perspective to the role and importance of business models and their relationship with business strategy.

Understand the foundation of contextualized analytics within the business world by covering how data flows and is managed across the landscape of enterprise business processes.

Learn about the strategic use of data and analytics in organizations. Gain a broad perspective on how companies can use data analytics to create value in various domains, identify opportunities and key challenges, and build an enterprise-wide analytics strategy to achieve competitive advantages.

Learn mobile networking, mobile information access, adaptive applications, energy-aware systems, location-aware computing, mobile security, and privacy.

Examine virtualization, cloud computing, programmable networking, performance evaluation, information assurance, distributed and parallel computing, and cloud computing-based applications. Prepare for this course through prerequisite knowledge in computer architecture, operating systems, and computer networking to be successful in this course.

Understand software design issues and techniques. Discover survey representations and a comparison of design methods.

Learn how big data can inform decisions, and visual representations can play a crucial intermediate role in our daily information consumption. Cover techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and use cognitive science to enhance the understanding of complex data.

Use entropy and mutual information, source and channel coding theorems, applications for communication, and signal processing.

Understand complex signal theory, digital modulation, optimal coherent and incoherent receivers, channel codes, coded modulation, Viterbi algorithm.

Discover an introduction to the field of biomedical informatics for the use of computers and information in healthcare and the biomedical sciences.

Uncover an in-depth analysis of computer-based approaches to supporting clinical decision making for providers and patients (as well as healthy individuals, for disease prevention/health maintenance). The history of the field of clinical decision support (CDS) and the spectrum of methodologies will be reviewed.

Familiarize yourself with the theory and practice of software engineering principles as they apply to large- and medium-scale clinical healthcare systems.

Understand surveys data analysis methods for massive data sets and provides experience in analysis with computer software.

Explore the political, economic, cultural, and moral foundations of science and technology policy and governance in a democratic society.

Examines the governance of science and technology through a focus on emerging technologies that are still being shaped by local, domestic, and international institutions. These emerging technologies include nanotechnologies, synthetic biology, and other technologies associated with genetic modification, and information and cognitive science and neuro-technologies.

Career paths

  • Financial Analyst
  • Global Supply Manager
  • Cost Analyst
  • Senior Program Manager
  • Program Manager

Notable employers

  • Intel
  • Apple
  • Facebook
  • Amazon
  • Google