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The 研究生 Certificate Program in Business Analytics launched in Fall of 2020. You can complete the courses for the 研究生 Certificate in Business Analytics in four semesters or fewer. The program is 12 credit hours and the curriculum consists of four courses:
1. In格式ion Systems Strategy and Planning (工商管理硕士 5205)
2. Knowledge Discovery Using Business Analytics (工商管理硕士 5210)
3. Practical Business Analytics (工商管理硕士 5220)
4. Data Mining for Business Analytics (工商管理硕士 5230)
All courses will be offered in 一个在线 格式.
Admission criteria can be found on the 工商管理硕士招生页面.
春天:
下降:
This course builds an understanding of in格式ion technology from a management perspective. 这门课结束的时候, students will have an understanding of the links between in格式ion technology, 商业策略, 业务流程管理, and organizational management dynamics. Three main themes are emphasized: the current market for IT capabilities and services, ways to gain competitive advantage by using in格式ion technology to enable new value-enhancing 策略 and business models and products, and understanding how managers should specify, source, 部署, manage and support their in格式ion technology assets and infrastructure.
This course presents students with material from each of the three areas of Business Analytics—Descriptive Analytics, 预测分析, 和规范分析. Descriptive Analytics will cover descriptive statistics and the exploration of data. 预测分析 will cover regression analysis, 模型建立, 时间序列分析, forecasting and Analysis of Variance. Prescriptive Analytics will cover decision making under uncertainty and risk, 线性优化, 整数规划, 非线性优化, 以及仿真建模. A variety of software tools will be used to analyze data and solve decision-making problems.
This course introduces the role of business analytics in organizations with examples of projects in multiple functional areas, industries and using a variety of analytics methods. This course applies practical methodologies, 策略, and best practices for performing descriptive, 预测, 以及规范分析. In order to support the overall business analytics framework and methodology, this course also includes the use of enterprise level analytics tools and systems.
This course provides students with a theoretical and practical understanding of data mining concepts and techniques; and hands-on experience in applying these techniques to practical real-world business problems using commercial data mining software. 作为一门应用课程, the emphasis is on application and interpretation of various data mining methods using business cases and data.
Easily accessible by public transit, the 密歇根州立大学丹佛 campus is located steps away from 丹佛’s financial district as well as city, state and federal government offices, giving you easy access to internships, 研究, and professional opportunities.
The 密歇根州立大学丹佛 商学院 is AACSB-accredited, which places the College among the world’s 5 percent of business programs that hold this distinction.
物理地址:
密歇根州立大学丹佛
行政大楼
第五街1201号
5楼,院长办公室
丹佛,CO 80204
邮寄地址:
密歇根州立大学丹佛
商学院 研究生课程
校园包厢13A
P.O. 173362箱
科罗拉多州丹佛80217-3362