Graduate Certificate in Competitive Business Intelligence
Course Details
To earn a Graduate Certificate in Competitive Business Intelligence, you must successfully complete 4 courses from the list below (12 credits total). You may take these courses in any order you choose.
Competitive Intelligence Organizational Design
Competitive intelligence analysis is the process that agencies and organizations use to assess their institutional strengths and weaknesses relative to peer organizations. Students in this course gain insight into how competitive intelligence informs and supports an organization’s ongoing strategy. Throughout the course, students examine case studies and the history of competitive analysis in both government and industry. By the end of this course, students will be able to gather organizational data, interpret relevant data, and evaluate and recommend organizational strategies based on their research. The course places a strong emphasis on the development and application of data analysis and presentation skills.
Global Competitive Intelligence
This course examines Competitive Intelligence (CI) as the collection and analysis of information to anticipate competitive activity, see past market disruptions, and dispassionately interpret events in a global perspective. In addition, students will develop techniques to develop analysis, which provides insight into marketplace dynamics and challenges in a structured, disciplined, and ethical manner using published and non-published sources.
Information Management for Competitive Intelligence
This course examines how organizations can use information to create competitive advantage. Students will learn how organizations can become data driven by having the proper elements in place, such as strategy, data governance, and leadership. They will also gain knowledge on security and privacy requirements for information and how to monetize information for competitive advantage. Finally, the course covers best practices for sharing information within organizations and among organizations, and how to convert tacit knowledge to explicit knowledge.
Business Intelligence, Big Data & Analytics
Today data is everywhere. The most competitive commercial companies are harnessing it to formulate their go-to-market strategies, make course corrections and outthink the competition. Governments are using data to develop solutions to social issues, recruit talent, and even to prevent terrorist attacks. This course explores how government agencies, commercial companies and nonprofits are using Business Intelligence (BI) and Big Data Analytics to achieve their strategic goals and objectives. During the course students are introduced to the concepts through real-world demonstrations of BI and Big Data Analytics solutions.
Information Security
This course provides theoretical and applied foundations of information security and assurance. Students will study various types of cyber-crime and vulnerabilities of government computer systems and information networks and learn about strategies for the protection of information and computer systems and how to mitigate and respond to breaches of those systems.
Cyber Threat Intelligence
This course focuses on profiling adversaries in the cyber space (hackers, organized crime, insiders, foreign states) and analyzing techniques, tools and processes they are using to perpetrate attacks against critical assets. Students will be able to develop threat indicators, determine potential implications for existing information systems and exploitation systems, and formulate advice on how to neutralize threats or thwart possible attacks.
Disruptive Technology & Organizational Change
This course explores the impact of disruptive technological innovation on organizations and their ability to adapt to change. More precisely, students learn how to detect and anticipate disruptive technologies and their potential impact on organizational culture, processes, and strategies. The course places an emphasis on understanding organizational values, processes, resources, and migration capabilities. Upon completion of the course, students will be able to identify and apply sustainable solutions to accommodate disruptive innovations and capabilities to cope with organizational and industry changes.
Strategic IT Governance and Resource Management
This course prepares students to lead technology organizations through strategic planning, financial decision-making, and governance alignment. Through an integrated approach, students will develop the ability to build business cases, oversee project budgeting and ROI evaluation, and implement IT and data governance frameworks that meet compliance, risk, and ethical expectations. Particular attention is given to emerging technologies, such as AI and cloud services, and their implications for governance, accountability, and value creation.
AI Leadership & Market Analysis
This comprehensive course explores the rapidly evolving AI-driven business landscape. It combines essential leadership strategies with in-depth market analysis to prepare students for the challenges and opportunities presented by technological advancements. The course covers the impact of AI on leadership, emphasizing adaptable leadership styles for tech environments. It teaches managing diverse workforces, leading digital transformation, and developing problem-solving and decision-making skills for the tech industry. It also includes analyzing AI market trends, interpreting industry reports, and conducting competitive analysis to understand strategies and dynamics of different market players.
AI & Data-Driven Decision Making
The course covers the essentials of AI in data analysis, it teaches participants to use AI tools for uncovering trends and making informed decisions. The course emphasizes practical applications, data strategy management, and addresses ethical and privacy concerns in data-driven AI. Through real-world case studies and hands-on projects, students will learn to integrate AI insights with strategic business planning, overcoming organizational challenges and effectively communicating the value of AI-driven decisions. This course prepares students to lead data-centric initiatives in their organizations, leveraging AI for enhanced decision-making and competitive business advantage.