学生每月需要到校上课一次,通常每学期共到校 3–4 次。MBA、MSCS、MSDS 以及 Data Science Certificate 项目的到校课程一般为单日课程,通常安排在周六或周日。 其他 Day 1 CPT 专业的学生通常有两种到校选择:第一种是每月选择一个工作日到校一次,时间为下午 2:40 至晚上 9:00;第二种是在同一周内到校两天,时间为晚上 6:00 至 9:00,相当于每月需要到校两次。
Day 1 CPT项目选择:
毕业要求:36学分
项目时长:24个月
工商管理硕士:商业管理方向 Master of Business Administration in Business Management 是 Monroe University 门罗大学 King Graduate School 开设的 MBA 项目,适合希望提升商业管理能力、领导力和职业竞争力的学生。该项目获得 Accreditation Council for Business Schools and Programs(ACBSP)认证,课程重点帮助学生建立在全球商业环境中所需的实践知识和管理技能。
该 MBA 项目提供多个专业方向,包括 Finance、Marketing、Healthcare Management、Hospitality、Human Resources、Information Technology、Accounting、Business Analytics、Supply Chain Management、Project Management 和 International Business。
项目通常为 4 个学期。全日制学生如果连续完成 4 个学期,最快可在一年半以内完成学位。课程结构方面,该 MBA in Business Management 共 36 学分,包括 27 学分的必修核心课程,以及 9 学分的开放选修课或所选专业方向课程。学生也可以选择 45 学分的 Dual Concentration 路径,通过完成两个 concentration 的课程要求获得双专业方向。
核心课程(27 学分):
MG-615 Managing in the Global Environment
MG-628 Data Analysis for Managerial Decision-Making
MG-630 Organizational Behavior and Leadership In the 21st Century
MG-640 Managerial Economics
MG-660 Strategic Marketing, AI and Data Innovations
MG-670 Managerial Finance
MG-770 Financial Statement Analysis
MG-800 Strategic Management
KG-604 Graduate Research & Critical Analysis
选修课程:
Accounting Concentration 会计方向 (9 学分,选修三门) AC-610 Managerial Accounting AC-630 Advanced Accounting Information Systems AC-650 Financial Accounting Theory and Reporting AC-670 International Accounting
Business Analytics Concentration 商业分析方向(9 学分) MG-756 Business Data Mining MG-757 Marketing Analytics MG-758 Decision Modeling for Managers
Finance Concentration 金融方向(12 学分) MG-760 International Finance MG-761 Mergers and Acquisitions MG-762 Financial Markets & Institutions FA-620 Advanced Investment Management
Health Care Concentration 医疗健康管理方向(9 学分) HA-625 Health Care Information Systems HA-705 Continuous Quality Improvement in Health Care MG-616 Health Care Policy PH-690 Global Health
Human Resource Concentration 人力资源方向(9 学分) MG-632 Human Resource Competencies and The Organization MG-634 Human Resource Strategy and People MG-636 Human Resource - The Workplace Setting
International Business Concentration 国际商务方向(9 学分) MG-745 Global Supply Chain Management MG-760 International Finance MK-780 Global Marketing Strategy and Planning
Marketing Concentration 市场营销方向(12 学分) MK-776 Interactive and Direct Marketing MK-777 Consumer Behavior MK-780 Global Marketing Strategy and Planning MG-757 Marketing Analytics
Supply Chain Management Concentration 供应链管理方向(9 学分) MG-745 Global Supply Chain Management MG-746 Logistics Optimization MG-747 Business Process Design and Improvement
毕业要求:45学分
项目时长:24个月
工商管理硕士:商业管理、分析与信息技术方向 Master of Business Administration in Business Management, Analytics, and Information Technology(STEM) 是 Monroe University 门罗大学 King Graduate School 开设的 STEM MBA 项目,适合希望同时提升商业管理、数据分析和信息技术应用能力的学生。该项目将传统 MBA 的核心商业课程,与商业数据挖掘、预测分析、系统设计等技术课程相结合,帮助学生在数据驱动和技术导向的商业环境中建立更综合的管理能力。
该项目不仅关注商业管理本身,也整合了 MS in Computer Science 和 MS in Data Science 的部分课程内容。学生将在学习领导力、战略管理和商业决策的同时,进一步培养 IT、数据分析和技术应用能力,从而更好地连接技术与业务需求。对于希望在现代企业中承担跨职能角色,或未来进入数据分析、信息系统管理、商业智能、技术管理等方向的学生来说,该项目具有较强的职业适配性。
学生可以选择两个 specialization 进行学习,方向包括 Data Science and Business Analytics、Supply Chain Management and Data Analysis,以及 Management Information Systems and Data Analytics。这些方向将商业管理、计算机科学和数据科学课程结合起来,帮助学生根据自己的职业目标进一步聚焦数据分析、供应链数据应用或管理信息系统等领域。
核心课程(27 学分):
MG-615 Managing in the Global Environment
MG-628 Data Analysis for Managerial Decision-Making
MG-630 Organizational Behavior and Leadership In the 21st Century
MG-640 Managerial Economics
MG-660 Strategic Marketing, AI and Data Innovations
MG-670 Managerial Finance
MG-770 Financial Statement Analysis
MG-800 Strategic Management
KG-604 Graduate Research & Critical Analysis
选修课程(9 学分):
Data Science and Business Analytics Concentration 数据科学与商业分析方向 CS-628 Data Science MG-756 Business Data Mining 选择以下一门课程: MG-757 Marketing Analytics MG-758 Decision Modeling for Managers
Management Information Systems and Data Analytics Concentration 管理信息系统与数据分析方向 CS-620 Software System Design CS-630 Database Systems 选择以下一门课程: CS-628 Data Science CS-665 Analytic Techniques
Supply Chain Management and Data Analytics Concentration 供应链管理与数据分析方向 MG-745 Global Supply Chain Management MG-746 Logistics Optimization 选择以下一门课程: CS-665 Analytic Techniques MG-756 Business Data Mining
毕业要求:36学分
项目时长:24个月
计算机科学理学硕士 MS Computer Science(STEM) 适合本科背景为 Computer Science、Information Technology、Computer Information Systems 或相关专业,并希望进一步提升理论基础、分析能力和实践技术能力的学生。项目重点帮助学生建立编程、网页设计、数据库管理系统、网络技术和项目管理等方面的扎实基础,同时接触网络安全、云计算、人工智能和移动计算等前沿技术。如果学生没有计算机背景,也可以在完成 prerequisite foundation courses 后进入项目学习。课程由具有行业经验的 faculty 授课,学生可以接触当前计算机科学领域常用的工具、技术和方法。
CS-700/701 Special Projects in Computer Science I OR CS-705/706 Computer Science Thesis I
KG-604 Graduate Research & Critical Analysis
选修课程
选择以下三门课程 CS-628 Data Science CS-633 Data Mining CS-635 Mobile Computing CS-637 Designing E-Commerce Site CS-645 Computer Security & Privacy CS-650 Artificial Intelligence CS-660 Managing Projects, Resources and Risks CS-670 Cloud Computing
毕业要求:36学分
项目时长:24个月
公共管理硕士 Master of Public Administration(MPA) 适合希望在公共服务、非营利组织、社会企业,以及公共或私营部门中从事管理和领导工作的学生。该项目旨在帮助学生建立公共管理领域所需的知识基础和实践能力,适合尚未进入相关领域的学生,也适合已经在职、希望进一步提升管理能力的专业人士。
KG-604 Graduate Research & Critical Analysis MG-630 Organizational Behavior and Leadership In the 21st Century MP-610 Perspectives on Public Administration And Service Management MP-620 Research Methods for Public and Nonprofit Management MP-640 Economics for Public Sector and Nonprofit Entities MP-670 Public Sector Budgeting and Finance MP-800 MPA Capstone Seminar: Strategic Development and Management of Programs and Policies
专业方向课程 (9 学分)
拓展选修课程(6 学分,任意选择以下2门课程)
CJ-750 Crisis Management & Disaster Preparedness CJ-770 Urban Poverty and the Family MG-616 Health Care Policy MG-632 Human Resource Competencies and The Organization MG-634 Human Resource Strategy and People MG-636 Human Resource - The Workplace Setting MG-746 Logistics Optimization MG-750 Project Management MG-758 Decision Modeling for Managers PH-680 Emergency Management in Public Health PH-690 Global Health
毕业要求:36学分
项目时长:24个月
刑事司法理学硕士 Master of Science in Criminal Justice(MSCJ) 适合希望在刑事司法、公共安全、社区司法、国土安全、犯罪学、公共政策或人类服务相关领域发展的学生。刑事司法作为一个跨学科领域,近二十年来发展迅速,研究内容已经不再局限于社会失序或犯罪问题本身,也关注如何通过研究、政策和实践推动更广泛的社会改善。
随着技术和 AI 在公共安全与刑事司法领域中的应用不断增加,项目也关注新兴技术对刑事司法专业人士领导力发展的影响。学生将学习如何评估公共政策对不同社区的社会经济影响,并提出能够解决社区问题的创新型政策方案。
除 General Track 外,MSCJ 项目还提供三个专业方向,包括 Community Justice、Global Terrorism 和 Human Services。
核心课程(24 学分)
CJ-615 Criminological Theory CJ-620 Research Methods and Data Analysis CJ-630 The Supreme Court, U.S. Constitution, And Criminal Law CJ-640 Perspective on Drugs, Alcohol, and the Criminal Justice System CJ-730 Comparative Criminal Justice Systems CJ-755 Terrorism & Counter Terrorism CJ-780 Public Policy in Criminal Justice Issues KG-604 Graduate Research & Critical Analysis
Option One 方案一:选择以下四门课程 CJ-618 Crime Scene Investigation CJ-650 The Sociology of Juvenile Delinquency CJ-718 Psychology of Criminal Behavior CJ-750 Crisis Management & Disaster Preparedness CJ-760 Community Violence: Causes, Effects, And Solutions CJ-765 Child Development, Trauma, and the Criminal Justice System CJ-770 Urban Poverty and the Family
Option Two 方案二:选择两门专业方向课程,并完成以下 Thesis 课程 CJ-791 Master’s Thesis I CJ-792 Master’s Thesis II
Option One 方案一:选择以下四门课程 CJ-618 Crime Scene Investigation CJ-655 Race, Class, Gender & Crime in America CJ-725 Organized Crime & Transnational Crime CJ-735 Perspectives on Mass Incarceration and The Death Penalty CJ-745 The Use of Deadly Force in Contemporary America CJ-777 Cybercrime, Intelligence Systems, and National Security
Option Two 方案二:选择两门专业方向课程,并完成以下 Thesis 课程 CJ-791 Master’s Thesis I CJ-792 Master’s Thesis II
毕业要求:42学分
项目时长:24个月
法庭心理学理学硕士 MS in Forensic Psychology 适合希望在矫正系统、刑事司法、人类服务、法院系统,以及相关公共或私营机构中从事支持、研究、评估或管理工作的学生。该项目将心理学与法律领域的核心原则相结合,帮助学生理解 forensic psychology 在刑事司法和社会服务场景中的应用。
项目课程重点培养学生的理论基础和实践能力,包括批判性分析、统计解读、评估设计和研究能力。通过项目学习,学生将学习如何将法庭心理学相关知识应用于法院、矫正机构、人类服务机构、执法机构,以及其他服务 forensic population 和相关社区的场景中。
AC-610 Managerial Accounting AC-625 Accounting Data Analytics AC-630 Advanced Accounting Information Systems AC-641 Taxation of Entities AC-650 Financial Accounting Theory and Reporting AC-660 Advanced Auditing AC-670 International Accounting AC-780 Accounting, Tax and Audit Seminar KG-604 Graduate Research & Critical Analysis
毕业要求:36学分
项目时长:24个月
数据科学理学硕士 MS in Data Science(STEM) 适合本科背景为 Computer Science 或相关领域,并希望进一步提升数据科学理论、分析能力和实践技术能力的学生。该项目旨在帮助学生建立数据科学、统计计算、面向对象编程、数据库系统、数据挖掘、人工智能、自然语言处理、机器学习、计算机网络、云计算、大数据和数据分析等方面的扎实基础。
CS-617 Statistical Computing CS-628 Data Science CS-630 Database Systems CS-633 Data Mining CS-650 Artificial Intelligence CS-655 Machine Learning CS-675 Big Data: Management & Analytics CS-703 Applied Data Science Project KG-604 Graduate Research & Critical Analysis
选修课程(9 学分,选修3门课程)
CS-640 Computer Networks CS-645 Computer Security & Privacy CS-665 Analytic Techniques CS-670 Cloud Computing CS-707 Research Topics in Data Science
毕业要求:45学分
项目时长:20个月
公共卫生硕士 Master of Public Health(MPH) 适合希望进入公共卫生、健康政策、流行病学、社区健康、健康教育、医疗机构管理或非营利健康服务领域发展的学生。公共卫生是一个跨学科领域,吸引来自不同教育背景的专业人士,重点关注如何服务本地、州级、区域和全球社区,改善不同人群的健康状况并延长寿命。
PH-601 Public Health Systems and Practice PH-605 Behavioral and Social Aspects of Public Health PH-640 Environmental and Occupational Health PH-650 Health Policy and Management PH-660 Principles of Biostatistics PH-690 Global Health PH-705 Principles of Epidemiology PH-780 Internship in Public Health KG-604 Graduate Research & Critical Analysis
选修课程(18 学分):
Community Health Concentration Courses 社区健康方向课程 PH-620 Health Promotion and Education in Diverse Communities PH-655 Community Health Program Planning And Development PH-710 Public Health Nutrition PH-770 Research Methods in Public Health PH-760 Thesis Proposal OR PH-790 Public Health Capstone I PH-765 Thesis Data Analysis and Interpretation OR PH-795 Public Health Capstone II
Concentration in Health Administration and Leadership 健康管理与领导力方向
HA-625 Health Care Information Systems PH-670 Finance and Economics in Public Health PH-685 Public Health Policy and Law PH-770 Research Methods in Public Health PH-760 Thesis Proposal OR PH-790 Public Health Capstone I PH-765 Thesis Data Analysis and Interpretation OR PH-795 Public Health Capstone II
毕业要求:45学分
项目时长:16个月
公共卫生硕士 Master of Public Health(MPH) 适合希望进入公共卫生、健康政策、流行病学、社区健康、健康教育、医疗机构管理或非营利健康服务领域发展的学生。公共卫生是一个跨学科领域,适合不同教育背景的专业人士。该领域重点关注如何服务本地、州级、区域和全球社区,改善不同人群的健康状况,并帮助预防未来可能出现的公共健康问题。
PH-601 Public Health Systems and Practice PH-605 Behavioral and Social Aspects of Public Health PH-640 Environmental and Occupational Health PH-650 Health Policy and Management PH-660 Principles of Biostatistics PH-690 Global Health PH-705 Principles of Epidemiology PH-780 Internship in Public Health KG-604 Graduate Research & Critical Analysis
选修课程(18 学分):
Community Health Concentration Courses 社区健康方向课程 PH-620 Health Promotion and Education in Diverse Communities PH-655 Community Health Program Planning And Development PH-710 Public Health Nutrition PH-770 Research Methods in Public Health PH-760 Thesis Proposal OR PH-790 Public Health Capstone I PH-765 Thesis Data Analysis and Interpretation OR PH-795 Public Health Capstone II
Concentration in Health Administration and Leadership 健康管理与领导力方向
HA-625 Health Care Information Systems PH-670 Finance and Economics in Public Health PH-685 Public Health Policy and Law PH-770 Research Methods in Public Health PH-760 Thesis Proposal OR PH-790 Public Health Capstone I PH-765 Thesis Data Analysis and Interpretation OR PH-795 Public Health Capstone II
毕业要求:36学分
项目时长:24个月
医疗健康管理理学硕士 MS in Health Care Administration 适合希望在医疗健康机构、公共卫生组织、政府机构、非营利组织、专业协会或相关私营部门中从事管理和领导工作的学生。该项目旨在培养能够服务不同个人和社区需求的医疗健康管理人才,帮助学生理解如何在复杂的医疗健康环境中进行组织运营、服务管理和战略决策。
HA-610 Health Care Law and Regulations HA-615 Health Care Economics MG-628 Data Analysis for Managerial Decision- Making HA-625 Health Care Information Systems HA-700 Marketing and Strategic Planning in Health Care HA-705 Continuous Quality Improvement in Health Care HA-780 Integrative Capstone Experience PH-690 Global Health KG-604 Graduate Research & Critical Analysis MG-616 Health Care Policy MG-620 MG-630 Organizational Behavior and Leadership In the 21st Century
毕业要求:18学分
项目时长:12个月
数据科学高级证书 Advanced Certificate in Data Science 是一个 18 学分的证书项目,适合已经完成 Computer Science、Information Technology、Computer Information Systems 或相关研究生学习背景的学生。该项目旨在帮助学生进一步提升数据科学相关的理论基础、分析能力和实践技能,为职业晋升或转向数据相关岗位提供支持。
完成项目后,学生将具备现代商业环境中所需的数据能力,包括 coding、数据建模、统计计算、数据可视化、预测分析和技术分析方法。学生也将进一步提升在大数据、数据科学、云计算、人工智能、机器学习和统计编程等领域的应用能力,并学习使用 Hadoop、AWS、SAS、JMP、Tableau 等工具,以及 Python 和 R 等常用语言。
核心课程(18 学分)
CS-617 Statistical Computing CS-628 Data Science CS-655 Machine Learning CS-665 Analytic Techniques CS-675 Big Data: Management & Analytics CS-703 Applied Data Science Project
How can the oldest stars in the Universe be older than the Universe?
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.
Why doesn't the Solar System expand if the whole Universe is expanding?
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.
Are quasars really at the large distances indicated by their redshifts?
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.
Can objects move away from us faster than the speed of light?
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.
Are galaxies really moving away from us or is space just expanding?
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.
Why do we think that the expansion of the Universe is accelerating?
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem. Nulla consequat massa quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.