Management of Technology, M.S.

In order to be eligible to apply for any of our Master’s programs, you must meet the following criteria:

You must hold a Bachelor's Degree from an accredited institution, which includes a minimum of four years of full-time study. Bachelor of Engineering degrees (based on 180+ ECTS credits) may also be considered. Attention will be given to the programs accredited by ABET and programs accredited/approved by other various regional accrediting associations.

The program does not have any specific prerequisite requirement outside of the general requirements as set forth by NYU. The program is comprised of individuals from diverse educational backgrounds such as engineering and management. The prerequisites required, if any, will be decided by the concerned academic adviser of the program and the admissions office only after the enrollment decision is made.

The following is a list of all action items required to apply.

• Application
• Application Fee
• Personal Statement
• Resume
• Official Transcripts
• Letters of Recommendation
• GRE or GMAT Score
  We recognize that due to COVID-19 restrictions some applicants may experience difficulty in taking the GRE test and, in response, we are committed to being flexible. For the Spring 2021 and Fall 2021 terms, the GRE is not required for all NYU Tandon Online MS programs. For more information, see the GRE/GMAT Requirements page.
• English Language Proficiency Testing

For more details on the above list, please review the Master’s and Advanced Certificate Application Checklist section.

3 Credits Organizational Behavior MG-GY6013

Introduction to theory, research and practice to better understand human behavior in organizations. Topics include motivation and job satisfaction; decision making; group dynamics; work teams; leadership; communication; power, politics and conflict; organization culture, structure and design; impact of technology; management of work stress; organizational change and development; and career management. Analysis of organizational behavior problems by self assessments, case studies and simulations.
Prerequisite: Graduate Standing

3 Credits Economics and Strategy MG-GY6023

This is a course in Economics, Strategy and the Firm with a primary focus on the needs of managers. It draws upon a range of concepts and tools from the fields of Industrial Organization and Strategic Management to review the cognitive building blocks that provide an economic foundation to strategic thinking. Strategy is ultimately about value creation and capture of economic value. Value-based strategies show that a firm that introduces a technological innovation creates value, and if it fails to protect it from competition it will be driven out of business. This basic level of insight is linked to the rich tradition in economics to untangle some ambiguities surrounding these concepts and provide a deeper understanding of strategic decisions made by managers within the bounds imposed by competition.
Prerequisite(s): Graduate Standing

3 Credits Financial Analysis for Technology Managers MG-GY6033

The course will focus upon accounting issues as well as financing and investment functions/decisions of the financial manager as applied to practical real world situations. We will first cover basic concepts of accounting (including cost accounting); as well as basic concepts of finance. Some of the course will involve analysis of actual case studies of real business situations. In the process of analyzing the cases students will be able to apply these accounting and finance concepts to actual business problems and their solutions.
Prerequisite(s): Graduate Standing

3 Credits Global Innovation MG-GY7953

This course focuses on global technology-enabled innovation. Topics covered include accessing global sources of innovation, coordination and organization of activities worldwide, new product development globally, the role of revitalized global R&D, growing prominence of IT and e-Business in global innovation, and the role of alliances and linkages with customers, suppliers and other third parties.
Prerequisite: Graduate Standing

Must take any three from the following:

3 Credits Operations Management MG-GY6303

This course focuses on developing a deeper understanding of the role that operations management plays in determining business strategy and in developing competitive advantage. The primary emphasis is on how to develop and effectively manage operations in knowledge-intensive enterprises. Participants discuss the operational design and managerial implications when the emphasis of the operations group is more on knowledge management than on production and facilities management; managing the effective integration of technology, people and operating systems; understanding the complexities and challenges of operations management; the challenges of developing and managing supply chain networks; and the critical role of technology in developing operational capabilities in an organization.
Prerequisite: Graduate Standing

3 Credits Marketing MG-GY6073

This course emphasizes the imperative to be customer-focused in the information sectors. Topics include market definition and redefinition due to technological change; analysis of customer decisions; strategic choices of markets and products; positioning for competitive success; product pricing, distribution and communications decisions; new product development; market-system dynamics and the value chain.
Prerequisite: Graduate Standing

3 Credits Human Resource Management Systems MG-GY8303

The workforce or the "human" resource is the one resource that cannot be copied by a company's competitors. As such, the management of the Human Resource is most critical in the eventual survival of any organization. The role of technology as a point of leverage will greatly enhance the ability of the HR staff and management in harnessing the Human Resource, such that it supports the company's goals, strategies and thus its resultant performance, economically and ethically. Topics include specific functions and processes within the HR function such as recruiting, performance management, benefits administration and government compliance, as well as an understanding of the overall objective of the function itself in helping any organization achieve and maintain success and profitability

Prerequisite: Graduate Standing

3 Credits Management of Information Technology and Information Systems MG-GY6503

This course is designed for managers who need to understand the role and potential contribution of information technologies in organizations. The focus of the course is on different information technologies and their applications in managing business critical data, information and knowledge. The course concentrates on the current state of IT in organizations, challenges and strategic use of IT, IT infrastructure and architecture, building, implementing and managing IT applications, and emerging issues such as intelligent systems, business process reengineering, knowledge management and group support systems.
Prerequisite(s): Graduate Standing

3 Credits Statistics for Data Analysts MG-GY6193

The course is an excellent introduction to statistical tools used in any aspect of business. It covers thoroughly key probability concepts and statistical techniques used in the analysis of financial, economic and accounting data. In addition to descriptive statistics, probability, and hypothesis testing, this course also covers regression analysis and time series analysis with an emphasis on model formulation and interpretation of results. The use of spreadsheets (to facilitate most of the analysis in this class) will be introduced and developed as well through case studies based on real-world data and problems in business and economics, so you will have acquired a working knowledge of spreadsheet after this class. The focus is on understanding underlying concepts rather than on memorizing mathematical formulas while the lectures concentrate on statistical concepts and applications using spreadsheets rather than rigorous math proof for the entire semester.
Prerequisites: Graduate Standing

3 Credits Data Visualization for Business Intelligence MG-GY6203

Huge volumes of data are generated, stored and analyzed to drive complex technical and business decisions by providing actionable insights. To achieve this end-users across the industry, need to visualize the data in diverse representations and perform explanatory and exploratory analysis. The course will provide a graduate-level introduction to Data Visualization, as a human perception friendly approach to convey concepts and analysis based on appropriately presented field data. It will systematically introduce building blocks, including types of data, visual elements and design approaches with many examples; provide a basic introduction to the latest visualization software tools as well as programming technologies, such as R and D3; and review several case studies of their application in producing business intelligence.

3 Credits Information Security for Managers MG-GY8213

3 Credits Selected Topics in Management MG-GY9753

Students analyze and discuss current topics in various fields.
Prerequisites: Graduate standing and Department’s Chair’s permission.

Continue creating a self-customized curriculum by organizing electives into Knowledge Areas.

These informal technology-based specializations reflect the recent directional advances in the field. However, students may elect a unique focus by creating a curriculum that includes courses across the prescribed Knowledge Areas below:

Digital Strategies and Innovation

Technology strategy blends business needs with technology-based solutions to achieve competitive advantage. Learn how to play a vital role in defining the technology direction for an organization and frame the formulation and execution of technology strategy.

3 Credits Entrepreneurship MG-GY7703

This course focuses on entrepreneurship and venture creation as key engines for wealth creation and successful business strategy in the modern, innovation- intensive, high-tech economy. The course deals with key issues such as: (1) assessing attractiveness of opportunities; (2) launching a new venture; (3) nurturing, growing and entrepreneurial venture; (4) obtaining the necessary financial, human and technology resources; (5) managing the transition from a small entrepreneurial firm to a large, sustainable, professionally managed but still entrepreneurial corporation; and (6) being an entrepreneur and promoting entrepreneurship in a large corporation.
Prerequisite: Graduate Standing

3 Credits Technology Strategy MG-GY8673

This course examines in depth the strategic technological decisions that a general manager faces. From entrepreneurial start-ups to established companies, in dynamic as well as mature environments, a firm must create a conscious process of formulating and implementing a technology strategy to serve its business interests. Such a strategy guides investments in research and development, selection among and timing of alternate technologies, organization and communications, formation of alliances and funding of ventures.
Prerequisite: Graduate Standing

3 Credits Digital Business Management MG-GY7503

This course will explore several trends that have emerged in Digital Business in terms of Customers, Competition, Data, Innovation, Technology and Value Propositions. We will learn about the world's most innovative Digital Business companies, their organization and strategies. We will also examine the failures and lessons learned of legacy business in the digital age.
Prerequisite: Graduate Standing

3 Credits Managing Technological Change & Innovation MG-GY8653

The course focuses on effectively managing technological change and innovation, which is accomplished with a dual perspective. One perspective is based on individual, group and organizational theory, research and practice. This body of literature, viewpoints and experience provide essential guides to manage successfully the introduction of newtechnologies. Realizing the full potential of
new technologies requires effectively managing change to assure the commitment of all stakeholders. The second perspective is based on innovation theory, research and practice. This body of literature, viewpoints and experience provide key insights to for effectively managing the process of innovation and the impact of innovation on all parts of an enterprise. Specifically, the course explores a firm’s explicit need to manage and inspire people so they can communicate and innovate effectively.
Prerequisite: Adviser’s approval and graduate standing

3 Credits Economics and Strategies for Digital Platforms MG-GY8683

The goal of this course is to equip students with the economic tools and strategic thinking necessary to understand how platform markets function and how to carefully analyze, evaluate and develop strategies for digital platforms. This course will cover topics that help inform platform strategy, such as two-sided markets, first mover advantage, network effects, the chicken-or-egg dilemma, monetization strategies, freemium models, intellectual property rights, startup strategy, crowdsourcing applications, platform governance and regulation issues, among others. The course will apply strategic thinking to the study of business cases of different platforms.
Prerequisites: Graduate Standing

Cybersecurity for Business

Senior business leaders, middle managers, and system administrators should understand and recognize the importance of both detecting and mitigating cyber threats and attacks. Learn how to combine technical knowledge, strategy and management techniques to analyze Cybersecurity threats, trends and strategies. Learn how to evaluate computer networks and systems to develop best practices in Cybersecurity. 

Select 9 credits from list of courses offered by the Computer Science Department.

Please click here for additional information.

3 Credits Information, Security and Privacy CS-GY6813

This course introduces Information Systems Security and covers cryptography, capability and access control mechanisms, authentication models, security models, operating systems security, malicious code, security-policy formation and enforcement, vulnerability analysis, evaluating secure systems.
Prerequisite: Competency in Application Development in UNIX and Windows Environments, Graduate status. *Online version available.

3 Credits Network Security CS-GY6823

This course begins by covering attacks and threats in computer networks, including network mapping, port scanning, sniffing, DoS, DDoS, reflection attacks, attacks on DNS and leveraging P2P deployments for attacks. The course continues with cryptography topics most relevant to secure networking protocols. Topics covered are block ciphers, stream ciphers, public key cryptography, RSA, Diffie Hellman, certification authorities, digital signatures and message integrity. After surveying basic cryptographic techniques, the course examines several secure networking protocols, including PGP, SSL, IPsec and wireless security protocols. The course examines operational security, including firewalls and intrusion-detection systems. Students read recent research papers on network security and participate in an important lab component that includes packet sniffing, network mapping, firewalls, SSL and IPsec.
Prerequisite: Graduate standing and EL-GY 5363:* Online version available.

3 Credits Computer Networking CS-GY6843

This course takes a top-down approach to computer networking. After an overview of computer networks and the Internet, the course covers the application layer, transport layer, network layer and link layers. Topics at the application layer include client-server architectures, P2P architectures, DNS and HTTP and Web applications. Topics at the transport layer include multiplexing, connectionless transport and UDP, principles or reliable data transfer, connection-oriented transport and TCP and TCP congestion control. Topics at the network layer include forwarding, router architecture, the IP protocol and routing protocols including OSPF and BGP. Topics at the link layer include multiple-access protocols, ALOHA, CSMA/CD, Ethernet, CSMA/CA, wireless 802.11 networks and linklayer switches. The course includes simple quantitative delay and throughput modeling, socket programming and network application development and Ethereal labs.
Prerequisite: Graduate standing and CS-UY 2134.

Project Management

Project management is the application of knowledge, skills, tools, and techniques to a broad range of activities in order to meet the requirements of a particular project. Learn how to assist organizations in achieving their goals by completing projects that contribute to their strategic objectives with minimum resources.

3 Credits Project Management MG-GY8203

This course focuses on managing technology- based projects, ranging from individual research and development to large-scale and complex technological systems. It covers topics such as feasibility and risk analyses, project selection and portfolio optimization, functional and administrative structures, coordination and scheduling of activities, personnel planning, negotiations and contracts, cost estimation, capital budgeting, cost controls and effective matrix management.
Prerequisite: Adviser’s approval and Graduate Standing

3 Credits Agile Project Management MG-GY8223

This course will prepare studies to apply agile methods in project management. The class is designed to be highly interactive, with students working through case studies throughout the semester and applying the strategies and processes to project management simulations. At the end of the course, students will be able to describe the history, principle, and values of the Agile Manifesto and agile project management. Students will be able to justify the need for agile project management for specific projects, define why it is different from other project management lifecycles, and describe the methodologies for application. Students will be prepared to begin studying for Agile professional licensure exams once completing this course.
Prerequisites: Graduate Standing

3 Credits Quality Management/six-sigma MG-GY8233

Quality Management is a comprehensive approach for leading and operating an organization, aimed at continually improving performance over the long term by focusing on customers while addressing the needs of all stakeholders. The bottom line of QM is results: increased productivity, efficiency, customer satisfaction/delight, and world-class performance. This course will present the various QM frameworks, concepts, and quality improvement tools, including, TQM, Six Sigma, Lean and Lean Six Sigma, etc. that are necessary for implementing the quality culture that characterizes world-class organizations of the 21st century. We will, explore the key actions necessary for transforming manufacturing and service firms into world-class organizations that deliver ever-improving value to their customers, clients, and constituents.
Prerequisites: Graduate Standing

Data Analytics

Data analytics turns measurements into insights to improve decision making in business. Learn how to rely on the scientific process to collect and interpret data through a mixture of quantitative techniques in order to predict, evaluate, and inform decisions in a variety of business areas, including operations, customer service, marketing, and finance.

*In-person Only

1.5 Credits Programming for Business Intelligence and Analytics MG-GY8401

Data will increasingly drive business decisions across industries. While statistics provides methods for analyzing, forecasting and evaluating data, programming provides methods for extracting, manipulating and visualizing data. This 1.5 credit course will meet for 7 weeks throughout the semester to complement Statistics for Business Analysts. Through a focus on case studies, students will gain the programming experience needed for electives in several knowledge areas pertinent to data science. By learning integrative approaches to formulating problems, students can take programming out of the lab and into industry.

1.5 Credits Data Engineering MG-GY8411

This course complements Statistics for Business Analysts, in coordination with Programming for Business Intelligence and Analytics. Through a focus on case studies, students will gain the experience needed for electives in several knowledge areas pertinent to data science. By learning how to structure and organize data for descriptive (unsupervised) and predictive (supervised) modeling, students can take preparation of data for AI out of the lab and into industry.

3 Credits Business Analytics MG-GY8413

Business analytics is a set of data analysis and modeling techniques for understanding business situations and improving business decisions. This course introduces business analytics concepts, methods and tools with concrete examples from industry applications. In the first part of the course, we will focus on descriptive analytics and exploratory data analysis concepts with a refresher on basic probability and statistics. In the second part, we will cover principles, techniques, and techniques for spatial data, time series, and text as data. The final part of the course will introduce a project that links business impact and modern data analytics techniques for managerial decision making in functional areas, including finance, marketing, and operations.
Prerequisites: (MG-GY 6193 or MG-GY 9753) and MG-GY 8401 and Graduate Standing

3 Credits Management Science MG-GY6103

This course introduces major concepts and methods associated with Management Science, which deals with the application of quantitative modeling and analysis to management problems. Students learn to employ important analytical tools, to determine the assumptions used, and to recognize the limitations of such methods. The course discusses methods of linear and nonlinear programming, queuing, decision analysis, simulations and game theory. The course also introduces modeling with spreadsheets.
Prerequisite: Graduate Standing

3 Credits Machine Learning for Business MG-GY8423

Machine learning is about extracting or discovering knowledge from data. This course will cover fundamental machine learning algorithms used to understand business situations and improve business decisions. In machine learning, there are three types of commonly used algorithms: supervised (predictive), unsupervised (descriptive) and reinforcement learning algorithms. In the first part of the course, we will focus on supervised learning algorithms including K-Nearest Neighbors, Linear Regression, Logistic Regression, Decision Tree, Support Vector Machine (SVM), Naive Bayes, bagging and boosting algorithms. The second part of the course will cover unsupervised algorithms including K-means clustering and dimensionality reduction. The last part of this course will cover Reinforcement learning algorithms, especially Markov Decision Process. We will use python as our main programing language.
Prerequisites: (MG-GY 8413 or MG-GY 9753) and MG-GY 8401 and Graduate Standing

People Analytics

Technology can address many complex business problems, but only when it's combined with the right talent, a firm's most important asset. Learn how to leverage organizational data utilizing people analytics, a rapidly expanding field, to create synergies between talent and technology for developing innovative strategies in achieving business success. 

1.5 Credits Talent Management Systems MG-GY6181

In this survey course, students gain a knowledge and understanding of the strategies and range of processes, methods and tools that organizations use in effective Talent Management programs. The focus is on developing and managing leadership talent and on Talent Management practices for general management, professional, technical and other positions. Topics include identifying and competing for critical talent pools; alignment and integration of HR practices; recruiting and employment branding; identifying, selecting, developing, reviewing and managing leadership talent; retention and recognition strategies; and career paths and career planning.
Co-requisite: MG-GY 6123 or instructor’s permission and graduate standing.

1.5 Credits Managing Human Resource Technology in Organizations MG-GY6271

Examination of factors critical to the effective organizational adoption and utilization of technology in human re source applications. Topics covered include: project management; HR data and process standardization; organizational governance; the unique security requirements of HR data; metrics; and HR process and technology outsourcing. By understanding these issues and how organizations can address them, students will be better prepared to more effectively plan and implement HR process re-engineering and technology enablement.
Prerequisite: Graduate Standing. Co-requisite: MG-GY 6123 or instructor's permission.

3 Credits Human Capital Engineering & Analytics MG-GY6343

This course examines and applies the valuation and management of intangible assets in designing and managing post-industrial organizations. As organizations increasingly rely on technology to produce value, these technological solutions require interactions with other forms of value creation like Human Capital Management, Intellectual Property development and Organization Culture. The first part of the course focuses on human capital engineering using an interdisciplinary approach, drawing on diverse fields including industrial-organizational psychology, industrial engineering, economics and artificial intelligence to create a holistic view of how work in its various forms creates value. The second part of the course addresses workforce analytics, providing the student with a knowledge and understanding of current best practices, issues, and decision points in building an effective human capital analytic program. This part of the course will also focus on data structure and design to enable automation and predictive modeling and will place an emphasis on technology-enabled reporting.

3 Credits Human Capital Big Data, Predictive Analytics, & Roi MG-GY6373

This course examines theories and applications of human capital, including its definitions, predictive analyses, and determining its value to the business by leveraging big data. The course will take a systems view and integrate human capital perspectives, concepts, and methods from economics, finance, psychology and business process re-engineering. Students will learn statistical methods to build predictive models of human capital and the software tools to conduct predictive analytics with big data. They will learn how to determine the economic and productivity benefits of human capital and human capital interventions (e.g., monetary and non-monetary rewards, job re-design, engagement, etc.) and how to communicate these benefits to senior management and key stakeholders in support of important organizational decisions.
Prerequisites: Graduate Standing & MG-GY 5050; Corequisite: MG-GY 6123

Must take one of the following:

3 Credits MOT Capstone Project Course MG-GY9503

This course provides an integrative and state-of-the-art intellectual experience for participants at the conclusion of the program. The course is divided into two half semesters. The first half semester enables participants to focus on discerning the overarching trends which are driving innovation in various industry sectors. The class is divided into small groups each of which develops a comprehensive view of a particular industry sector. In the second half of the course, participants focus on the culminating project of the IM program. Participants can choose to do their final projects on firms, issues related to technology management or as an outgrowth of the emphasis on entrepreneurship in the program, a business plan. Participants are encouraged to employ relevant concepts and insights that they have acquired during the course of the program.
Prerequisite: Graduate Standing

3 Credits Project in Strategy & Innovation Management MG-GY9703

This course integrates concepts and theories from several other courses. The course usually considers issues from a holistic and topmanagement perspective; employs case studies and projects to focus on key interrelationships between strategy, technology, innovation, corporate culture, organization structure and human factors; and covers domestic and global corporations, small, medium and large firms; and established and new enterprises.
Prerequisite: Graduate Standing

3 Credits Selected Topics in Management MG-GY9753 Independent Study

Students analyze and discuss current topics in various fields.
Prerequisites: Graduate standing and Department’s Chair’s permission.

MS Thesis in Technology Management MG-GY997X Independent Study

Students choose original investigation topics for their theses. While they conduct research and draft their theses, students are required to confer with their advisers and to submit progress reports. A final written report is required at completion. The department may request an oral examination.
Prerequisites: Graduate Standing and approval of supervising professor, adviser and department chair.