The U.S. Department of Labor reports job growth in the field analytics is expected to grow 30% faster than the national average by 2024. At present, the average salary of $78,630.
Operations research analysts use advanced mathematical and analytical methods to help organizations solve problems and make better decisions. Those who pursue a degree in the field of analytics are often hired to manage a variety of aspects of an organization. They help managers decide how to allocate resources, develop production schedules, manage the supply chain, and set prices.
The Master of Science in Analytics prepares graduates with critical skills necessary to succeed in the emerging field of data science. The Charleston Southern Online curriculum emphasizes effective analytical techniques, data mining, business analysis and modeling, analytic decision-making and more.
This course introduces new graduate students to strategies for academic success as it relates to thinking. Topics include Graduate School tools and competencies and written and verbal communication skills. This course introduces the conceptual, analytical and practical foundations of problem-based learning. This will be done in the context of problem definition, research and information utilization, critical thinking, written and verbal communication skills, negotiation skills and stakeholder communication skills. Problem-based learning will be framed in the context of the alignment of societal, organizational and personal values.
This course serves to provide students with a foundation in Christian Leadership talents, strengths and skills as it relates to the servant leader. Included in this course would be an investigation of how the individual plays a role in his or her own management or leadership styles. Students would complete a personal profile assessment; develop a research paper in the area of leadership or management related to a comparison between the servant leader/manager and their own leadership/management style. Finally, students will develop strategies for how to implement the 10 characteristics of the Servant Leader into business, community and professional outcomes.
Can a corporation have a conscience? Should it? Ethics has been called the soft side of business, but in fact, the hardest and most painful questions you will ever face are probably ethical ones. Why? Ethical questions involve choices and the weighing of consequences and responsibilities not an easy discernment process. Further, business ethics involves choosing the best response to a gray situation among different legal choices. This course, while concentrating on the ethical decision making of managers, will also discuss how Christian ethics and values impact business decisions. Is there a difference between ethical business practices and ethical Christian decisions in a business setting?
Talent is often overlooked when determining who can or cannot perform a job. This course examines how to assess and measure talent and then manage that talent to the fullest. A comprehensive review of talent assessment will be provided throughout the course. Developing measurements for assessment, implementing a talent based organization and creating a talent centered organization are essential constructs of this course. Students will learn how to put a strong group of individuals together to ensure a positive business outcome. This course will be based on both group activities and individual assessment and will utilize case studies and application scenarios as part of the critical thinking and implementation process.
This course will examine the innovative linkages, collaboration and partnership building systems and techniques that impact the management of any new and emerging business. A concentration on the use of social websites that contribute to these innovative strategies will be considered an essential part of this course. An examination of the collection of ideas that not only influence change but enables the development of partnerships and collaborative elements that enhance customer service, product development and/or enhance measurable innovative outcomes for all businesses.
In this course, students will explore aspects of leading and working in global and diverse environments. Students will be asked to apply their own experiences and challenges to understanding the impact the virtual and diverse worker has on business. Students will gain an understanding of the personal and professional role of leadership in diverse cultures and the strategies used to lead more effectively within those cultures.
This course serves as the introduction to project management. It examines the context of projects and differentiates between projects and operations. The life cycle of a project is defined and a framework for integration is presented. Identify the unique characteristics of projects versus operations. Describe the project life cycle. Develop a plan that guarantees all of the various elements of a project are properly coordinated. Plan for the necessary resources, accurately estimate cost, allocate the budget to specific work items and control changes in the project budget. Evaluate the quality of the product or service in order to ensure that it meets the previously established needs of the organization.
The goal for this course is to prepare students to be more effective users of quantitative information, as well as to avoid the many potential pitfalls from the misuse of statistical methods in a business setting. The emphasis is on understanding what a previously obtained data set implies and, if appropriate, to develop meaningful forecasts with a reasonable sense of confidence. Specific topics include data analysis and statistical description, sampling and statistical inference, time series, and regression analysis.
This course teaches professional competence in gathering information by talking to people, collecting documents, conducting surveys, observing social interaction groups, and collecting business data. A range of associated issues are covered, including identifying and using different sources; recruiting and negotiating access to research data as well as respondents; formulating survey questions; managing interviews and focus groups; sampling populations and designing surveys; recording observations; understanding data collection validity and reliability; and research ethics. Character and operational excellence principles related to management activities are also explored and applied.
The course is the study of website traffic analysis for the purpose of understanding how visitors use a site or service. Most businesses rely on the web to gather data that is critical to their decision making processes. Performed manually, this process can be is error-prone and time-consuming. Course topics include Google Analytics, incoming traffic analysis, and A/B testing. The course combines theory and application to provide an up-to-date, practical learning opportunity that focuses on the needs of modern managers and professionals in an age of global competition and rapid technological change. Character and operational excellence principles related to management activities are also explored and applied.
This course covers the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making through the use of standard exploratory data analysis techniques using quantitative statistical and graphical methods. Topics include association rules, k-NN classifier, cluster analysis, discriminant analysis, classification and regression trees, logistic regression, neural networks, data storage and indexing strategies, data warehousing, metadata management, and data visualization. The course combines theory and application to provide an up-to-date, practical learning opportunity that focuses on the needs of modern managers and professionals in an age of global competition and rapid technological change. Character and operational excellence principles related to management activities are also explored and applied.
This capstone course deftly integrates the traditional data collection instruments, web-based data collection, data mapping, data warehousing, and data visualization material covered in the preceding analytics courses. Students will be required to demonstrate their understanding of the discipline by applying the key concepts and techniques that they have mastered while they complete an extensive and comprehensive analytics project. Character and operational excellence principles related to management activities are also explored and applied.
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