Accounting and Financial Analysis
Accounting and Financial Analysis (ACCT FIN GRC)
18 Credits
ACCOUNTING AND FINANCIAL ANALYSIS GRADUATE CERTIFICATE • 18 CREDITS • ACCT/FINC GRC
The Accounting and Financial Analysis Graduate Certificate provides the foundation of financial concepts and the fundamentals of accounting. The certificate introduces the principles of accounting, with an emphasis on applying Generally Accepted Accounting Principles (GAAP) to business situations as compliant journal entries are recorded. In addition, the certificate will allow for the analysis of organizational performance and financial condition evaluation. This certificate helps prepare non-accounting undergraduates to enrollment in the MAcc degree. Additionally, it prepares non-accounting undergraduate for employment in general accounting positions.
The credit for a single course cannot be applied to more than one degree or certificate; any exceptions or variations must be approved by the MBA/MM exceptions committee.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
Courses |
18 Credits | |
---|---|---|
ACCT510 | This course introduces the principles of financial accounting, emphasizing the understanding and interpretation of financial data. Students also learn journal entries, adjustments, and an understanding of the complete accounting cycle. Financial concepts are covered, as well as basic concepts for the analysis of financial statements. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
ACCT511 | This course builds upon the fundamental accounting process studied in ACCT510 and focuses on significant processes of the major categories of the balance sheet and statement of cash flow and income statements. Students will apply applicable APB and FASB pronouncements and related topics for specific accounting situations. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): ACCT510 | |
ACCT512 | This course is a continuation of ACCT511 Intermediate Accounting I with a comprehensive study of the major categories of the balance sheet and statement of cash flow and income. In addition, students will be introduced to the accounting, analysis and reporting of special topics such as pension/retirement, leases, inflation, income taxes, earning per share and revenue recognition. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): ACCT511 | |
ACCT513 | This course provides an explanation of the federal tax structure and provides training in the application of tax principles as they pertain to individuals. The course provides an introduction to taxation for businesses, federal tax laws and regulations, taxation theory, and tax research and planning techniques. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): ACCT510 | |
ACCT515 | This course is designed to further develop the student’s analytical and interpretive skills in accounting for business mergers and acquisitions, partnerships and global accounting. This course offers preparation for the Master of Accountancy program. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): ACCT302 or ACCT512 | |
LEGL510 | This survey course covers the fundamental principles of business law, including the legal system, dispute resolution, government regulation torts, and crimes affecting business, contracts, sales, and agency. A digest of cases is used to encourage analytical thinking. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. |
Predictive Analytics and Data Visualization
Predictive Analytics and Data Visualization (PREDVIL GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • PREDVIL GRC
Data Analytics analyzes vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. The Predictive Analytics and Data Visualization Graduate Certificate is offered online and prepares individuals to build predictive and forecasting models, generate data visualization products, and build data dashboards and automated reports. The Graduate Certificate uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in predictive modeling, forecasting and data visualization for students from a broad range of disciplines and experiences, including those who are new to the field. Credit from this certificate program can be transferred to the Master of Science in Data Analytics Degree program.
DATA courses are only offered in a 15-week online format.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
- Predictive Analytics and Data Visualization, GRC (web)
- Predictive Analytics and Data Visualization, GRC (pdf)
Courses |
12 Credits | |
---|---|---|
DATA667 | Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. A key element of instruction is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
DATA710 | R programming language concepts are covered within the context of how they are implemented in practice when conducting high-level statistical analysis. The instructional approach in this course focuses on application-based programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects will be used to provide working examples. Upon completing this course, students will be able to employ advanced modeling techniques to write R code to conduct data analysis with strong reusability. | |
DATA772 | This course covers statistical procedures used in data analytics with emphasis on hands-on practice. Industry standard software is used to import and prepare data for model development as well as for developing various types of regression models. Assessment of model performance and methods for model selection are also covered. Emphasis is also placed on parameter estimation, variable selection, and diagnostic checking of these models and their use for statistical inference and prediction. Both numerical and graphical techniques are used for diagnostics and reporting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA710 | |
DATA785 | This course covers statistical modeling in the use of statistical methods to develop models that can be used for predicting future numerical or categorical outcomes in processes for disciplines ranging from business to science. The philosophy of modeling as well as common modeling methods and model adequacy assessment procedures are covered. Industry standard software is used to prepare data, develop and assess models, obtain predictions, and present results. The main thrust of the course is on the application of predictive modeling rather than the theory behind it. Selected projects will be used to provide hands-on experience with the various steps involved in modeling and predicting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA772 |
Data Mining and Visualization
Data Mining and Visualization (DATAVIL GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • DATAVIL GRC
Data Analytics analyzes vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. The Data Mining and Visualization Graduate Certificate is offered online and prepares individuals to conduct data mining projects, generate data visualization products, and build data dashboards and automated reports. The concentration uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in data mining and visualization for students from a broad range of disciplines and experiences, including those who are new to the field. Credit from this certificate program can be transferred to the Master of Science in Data Analytics Degree program.
DATA courses are only offered in a 15-week online format.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
Courses |
12 Credits | |
---|---|---|
DATA625 | This course introduces students to data mining methods and applications. It covers basic concepts and tools for data mining, including data sources, data cleaning tools and methods, mainstream algorithms for data mining, statistical modeling, popular tools for mining structured data and unstructured data. Students will also learn how data mining can be effectively used in various application areas to drive decisions and actions. Students get hands-on practice by conducting a data analytics project using real world data sets. | |
DATA667 | Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. A key element of instruction is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
DATA710 | R programming language concepts are covered within the context of how they are implemented in practice when conducting high-level statistical analysis. The instructional approach in this course focuses on application-based programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects will be used to provide working examples. Upon completing this course, students will be able to employ advanced modeling techniques to write R code to conduct data analysis with strong reusability. | |
DATA728 | This course will be a more advanced treatment of data mining and predictive analytics concepts introduced in DATA625 with a focus on customer relationship management (CRM). Using customized variations of the industry-standard CRISP-DM methodology, it will provide an experiential learning opportunity to explore all six phases of the model. This includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Industry standard tools and techniques are utilized to prepare students with the knowledge to be successful in current organizations. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA625 |
Data Analytics
Data Analytics (DATALTIC GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • DATALTIC GRC
Data Analytics is used to analyze vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. All aspects of the business and medical communities, as well as government agencies and non-profit organizations rely on data analytics, yet are hampered by a growing shortage of data analysts. Davenport’s 12 credit Graduate Certificate in Data Analytics responds to this need by preparing individuals to conduct data mining projects, generate data visualization products, and build data dashboards and automated reports. Using industry standard software, graduates get hands-on experience in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Credit from the certificate program can be transferred to the Master of Science in Data Analytics Degree program. Courses for are offered online in 15 week format with two courses completed per semester.
DATA courses are only offered in a 15-week online format.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
Courses |
12 Credits | |
---|---|---|
DATA610 | Essentials of big data and data analytics are introduced and include descriptive, predictive and prescriptive statistics, regression analysis, optimization techniques and data visualization. The instructional approach in this course focuses on application-based reinforcement of concepts to include the use of simulations. A key component of instruction is an emphasis on analytical report writing and other ways to effectively present data analytic results. Techniques examined emphasize applicability in multiple organizational sectors to include business, finance, human resources, healthcare, manufacturing, sport management, social services, education, non-profit, and government entities. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
DATA625 | This course introduces students to data mining methods and applications. It covers basic concepts and tools for data mining, including data sources, data cleaning tools and methods, mainstream algorithms for data mining, statistical modeling, popular tools for mining structured data and unstructured data. Students will also learn how data mining can be effectively used in various application areas to drive decisions and actions. Students get hands-on practice by conducting a data analytics project using real world data sets. | |
DATA667 | Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. A key element of instruction is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
DATA710 | R programming language concepts are covered within the context of how they are implemented in practice when conducting high-level statistical analysis. The instructional approach in this course focuses on application-based programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects will be used to provide working examples. Upon completing this course, students will be able to employ advanced modeling techniques to write R code to conduct data analysis with strong reusability. |
Instructional Core Transformation For School Administrators
Instructional Core Transformation For School Administrators (UE INSCR GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • UE INSCR GRC
This series provides students with techniques and strategies to develop an instructional core relevant to the improvement. The certificate explores ways of constructing strategic, curricular, and instructional plans essential for and common among improved performing urban school buildings, designing equitable and culturally responsive practices that lead to student engagement, student achievement, and physical and emotional well-being. Faculty and students summarize deconstructing the components of a standards-based curriculum designed for students to achieve mastery of essential grade-level skills and knowledge while meeting diverse learners' needs.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
- Instructional Core Transformation For School Administrators, GRC (web)
- Instructional Core Transformation For School Administrators, GRC (pdf)
Courses |
12 Credits | |
---|---|---|
UEDU778 | In this course, candidates will review recent research on effective instruction and explore advanced classroom strategies and techniques designed to enhance their effectiveness in meeting the needs of diverse populations of learners. Examples include direct instruction, cooperative learning, dimensions of learning, creative problem solving, and applications of technology to thinking and learning. Candidates will develop expert teaching skills and learn to diagnose and deliver instructional strategies that are most appropriate in specific circumstances commonly found in urban schools. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU788 | Candidates will learn a new way of viewing teaching that is grounded in an understanding of the role of culture and language in learning. Candidates in this course will compare the best practices outlined in multiple cultural, linguistically responsive frameworks, eventually adopting one of the proposed frameworks or creating their own to be implemented in their work context. Candidates will also explore relevant coaching and change management strategies and apply them as they learn about their students’ family makeup, immigration history, favorite activities, concerns, and strengths. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU791 | This course explores the leadership and management skills, competencies and dispositions needed to develop culturally responsive school, family, and community partnerships. Topics covered include engaging youth through culturally relevant experiences and capitalizing on their funds of knowledge in cultural contexts; training teachers and youth program workers to understand the importance of utilizing culturally relevant pedagogical strategies; and how to assess newly developed and existing programs to determine the level of efficacy, inclusivity, equity and cultural relevance. As a learning community, candidates will explore their beliefs about the role of families and community members in school reform. Candidates will research the impact of home-school and community-school partnerships on student learning and explore the various theoretical frameworks about these partnerships. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition- | |
UEDU796 | Candidates in this course will explore the need for schools to establish their own internal systems and professional cultures to improve student outcomes and develop their own systems for leading the instructional core in context. Candidates will learn how to evaluate the learning experience of students in classrooms and the implications of these experiences for the instructional core. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program |
Business Essentials For Urban School Administrators
Business Essentials For Urban School Administrators (UE BUSES GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • UE BUSES GRC
This series provides students with strategies to develop business systems supporting urban environments. The certificate explores constructing systems, recognizing and solving complex school building issues and effectively communicating the solutions to staff and community stakeholders, and analyzing an urban school's performance management process, leadership development plans, and alignment of goals to outcomes for improved business management of urban school building operations, resources, and communications. Faculty and students summarize the essentials of performance management used to assess the performance of an individual school.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
- Business Essentials For Urban School Administrators, GRC (web)
- Business Essentials For Urban School Administrators, GRC (pdf)
Courses |
12 Credits | |
---|---|---|
UEDU744 | This course is designed to introduce candidates to the whole spectrum of traditional human resources’ responsibilities and major functions and to grapple with the organizational challenges that have emerged in urban school districts due to poorly functioning HR systems, and challenges with labor and reactionary management. Topics will include intentional recruitment of a diverse workforce, effective candidate screening and selection processes, onboarding, performance management and evaluation, compensation, career progression and employee and labor relations. Additionally, candidates will learn how to transform an urban school or district’s human resource management function into a more strategic and integrated component of a district’s overall approach to improving student achievement. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU753 | In this course, candidates will be introduced to successful reform strategies and best practices that address how time, resources, and responsibilities can be allocated in urban schools and districts. Candidates will determine how each of these strategies can be managed politically and communicated to stakeholders. Exploration of strategic frameworks including strategic decision making and analysis of complex systems, structures and problems from multiple stakeholder perspectives will take place from a socio-economic and a socio-political context. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU765 | Candidates will examine a series of best practices in school budgeting, which clearly outline steps to developing a budget that best aligns resources with student achievement goals. Urban school and district budgets will be evaluated with a specific focus on coherence and optimizing student achievement with available resources. The role of the school and district’s instructional priorities as a guide for decision-making will be evaluated with a specific focus on making budgetary decisions in the context of increased numbers of diverse and impoverished candidates, dwindling state and federal resources and the redistribution of public school educational funds to private and charter school management organizations. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU774 | In this course, candidates will learn the essentials of performance management, specifically how to judge the performance of individual schools, decide which are effective enough to continue supporting, and how to use data to determine whether to shore up struggling schools or create new ones. Candidates will reflect upon the literature on government agencies and businesses that have shifted to performance-based accountability and management, learn why traditional compliance-based systems and structures are not suitable to achieve breakthrough student achievement in urban schools, and examine the necessary technical, cultural and staff capacities in performance-based organizations. Candidates will critique the differences between the leadership and management skills, competencies and dispositions needed in performance-based organizations compared to those valued in compliance-based organizations and the implications surrounding tenure, legacy systems of promotion and seniority. Applica |
Urban Education Leadership Principles
Urban Education Leadership Principles (UE LDPRN GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • UE LDPRN GRC
This series provides multiple perspectives within urban education to cultivate critically conscious practitioners and explore the challenges faced by urban students, educators, community members, and policymakers. The certificate explores the foundational understanding of urban school leadership that examines the qualities of leadership, decision making, change, and values that an urban school leader needs for success. Faculty and students work together to analyze the beliefs, values, and philosophies that form the underpinnings of urban educational leadership and examine leadership qualities and the shift toward research-based best practices.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
Courses |
12 Credits | |
---|---|---|
UEDU622 | This course introduces candidates to contemporary and classic theories of leadership. Additionally, this course examines the replacement of trait-based leadership theories by research-based practices in the educational context. The topics explored in this course are drawn from multidisciplinary perspectives, including psychology, anthropology, and sociology. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU656 | Students must master the general principles of American school law with particular emphasis upon Michigan statutes. The course will examine the legal bases of federal, state and local administrative levels. The course will review the salient legal provisions of the Education Code respecting administration of schools, the rights of patrons and employees, torts, contracts, certification, tenure, school planning and the rights and obligations of pupils. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Acceptance to the Urban Education Program | |
UEDU710 | This course will give candidates the strategies necessary to develop and sustain inclusive, equity-focused schools and systems. Candidates will gain understanding of how the intersection of race, identity, power, and privilege in our society impacts urban schools. Methods to identify inequitable structures and practices reflecting the legacy of racism and other forms of exclusion will be introduced. Candidates will learn strategies for building school culture, curriculum, and programs that include strengths-based instruction, cultural competency and effective communication with all stakeholders resulting in family and community engagement. Candidates will develop the capabilities to do this critical work within schools and urban educational systems. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU735 | Candidates in this course will examine effective methods of school leadership based on data that impacts instruction, school culture and managing leadership teams. This course also examines the political and cultural context of educational reform and innovation efforts in urban districts and charter management organizations over the past decade. Candidates will compare the perspectives of several school and district leaders who helped lead the reform efforts in large and diverse urban districts and those of critics of the reform movement. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program |
Urban Educational Leadership
Urban Educational Leadership (URED LD GRC)
18 Credits
GRADUATE CERTIFICATE • 18 CREDITS • URED LD GRC
The Certificate in Urban Educational Leadership (CUEL) is designed to prepare candidates to serve as high-performing transformative leaders within urban schools and districts. Created for candidates pursuing the principalship and supervisory positions, this certification is based on best practices, aligned to the national Professional Standards for Educational Leaders (PSEL) as well as the Michigan Standards for the Preparation of Central Office and Building Administrators. The CUEL program will provide an invigorating learning experience that synergistically combines rigorous academic work with on-going practiced-based learning experiences. A significant emphasis is placed on real-world case studies and simulations that help candidates develop the skills, competencies, and mindsets necessary for successful educational leadership in an urban environment. Candidates will leverage their lived experience while exploring current research and best practices in the areas of leadership, curriculum, instruction and assessment, entrepreneurship, school law, human capital management, educational policy and related areas of study.
Principal Certification is available through the Michigan Elementary and Middle School Principals Association (MEMSPA).
Admission Checklist:
In order to qualify:
• Fill out the Davenport Application for Admission.
• Candidates must have a bachelor’s degree or above with a 3.0 GPA.
• Two (2) signed professional recommendation forms and one personal recommendation form are required.
• A current resume/CV must be submitted and it should include prior employment experience, educational background, and any organizational affiliations.
• Statement of purpose (refer to the statement of purpose form in the admission packet).
• Participate in an interview with the College of Urban Education (CUE) Admission Committee – to be scheduled by Davenport upon sub-mission of the completed application.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
Foundations of Urban Educational Leadership |
9 Credits | |
---|---|---|
UEDU622 | This course introduces candidates to contemporary and classic theories of leadership. Additionally, this course examines the replacement of trait-based leadership theories by research-based practices in the educational context. The topics explored in this course are drawn from multidisciplinary perspectives, including psychology, anthropology, and sociology. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU710 | This course will give candidates the strategies necessary to develop and sustain inclusive, equity-focused schools and systems. Candidates will gain understanding of how the intersection of race, identity, power, and privilege in our society impacts urban schools. Methods to identify inequitable structures and practices reflecting the legacy of racism and other forms of exclusion will be introduced. Candidates will learn strategies for building school culture, curriculum, and programs that include strengths-based instruction, cultural competency and effective communication with all stakeholders resulting in family and community engagement. Candidates will develop the capabilities to do this critical work within schools and urban educational systems. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU735 | Candidates in this course will examine effective methods of school leadership based on data that impacts instruction, school culture and managing leadership teams. This course also examines the political and cultural context of educational reform and innovation efforts in urban districts and charter management organizations over the past decade. Candidates will compare the perspectives of several school and district leaders who helped lead the reform efforts in large and diverse urban districts and those of critics of the reform movement. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program |
Business Essentials for Urban Schools and District Administrators |
6 Credits | |
---|---|---|
UEDU744 | This course is designed to introduce candidates to the whole spectrum of traditional human resources’ responsibilities and major functions and to grapple with the organizational challenges that have emerged in urban school districts due to poorly functioning HR systems, and challenges with labor and reactionary management. Topics will include intentional recruitment of a diverse workforce, effective candidate screening and selection processes, onboarding, performance management and evaluation, compensation, career progression and employee and labor relations. Additionally, candidates will learn how to transform an urban school or district’s human resource management function into a more strategic and integrated component of a district’s overall approach to improving student achievement. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU753 | In this course, candidates will be introduced to successful reform strategies and best practices that address how time, resources, and responsibilities can be allocated in urban schools and districts. Candidates will determine how each of these strategies can be managed politically and communicated to stakeholders. Exploration of strategic frameworks including strategic decision making and analysis of complex systems, structures and problems from multiple stakeholder perspectives will take place from a socio-economic and a socio-political context. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU790 | Contact the Urban Education Program Department Chair at least one semester prior to enrolling to begin the internship placement process. The internship is the collection of the 100-hour minimum supervised leadership experience hours through the key assessments designed to provide students with opportunities to make connections between the theory and practice of academic study and the practical application of that study in a professional work environment. The fieldwork and internship hours are provided in each course for the Certificate of Urban Educational Leadership. The department chair shall receive the internship hours and confirm for submission of completion. This course is graded as pass/fail. A criminal background check and drug screening may be required by the Internship site. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): UEDU622, UEDU710, UEDU735, UEDU744, UEDU753, UEDU796 |
Instructional Core Transformation Strategies |
3 Credits | |
---|---|---|
UEDU796 | Candidates in this course will explore the need for schools to establish their own internal systems and professional cultures to improve student outcomes and develop their own systems for leading the instructional core in context. Candidates will learn how to evaluate the learning experience of students in classrooms and the implications of these experiences for the instructional core. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program |
Urban Education
Urban Education (URBN ED GRC)
22 Credits
GRADUATE CERTIFICATE • 22 CREDITS • URBN ED GRC
The Certificate in Urban Education is an alternate route to the teacher certification program. This program awards candidates with a Certificate in Urban Education and an Interim Teaching Certificate in subject areas corresponding to passage of specific Michigan Teacher Test for Certification content area competency exams. This alternate route to the teacher certification program allows individuals to teach in Michigan schools while fulfilling credential requirements. Candidates are paired with a master teacher within their assigned school. College of Urban Education faculty members provide candidates weekly feedback through assessments evaluating teacher practice. Current teachers can add endorsements to their existing teaching certificate by passing the Michigan Teacher Test for Certification in desired content areas and completion of the Graduate Certificate in Urban Education Program. Credit from the certificate program can be transferred and utilized toward completion of the Master of Urban Education Degree.
Admission Checklist:
• A completed bachelor’s degree from a regionally accredited institution or approved international institution with a required overall grade point average (GPA) of 3.00 or better (on a 4.00 scale).*
• An official copy of the Score Report indicating passing scores for the MTTC Subject Area Exam.
• A Criminal History Authorization form and Fingerprinting done at a GRPS Authorized Fingerprinting Location (see your admission representative for details).
• A completed Certificate in Urban Education Packet including a curriculum vitae, statement of purpose, and two (2) letters of recommendation on required forms.
• Participate in an interview with the College of Urban Education (CUE) Admission Committee – to be scheduled by Davenport upon submission of the completed application.
*Participants have a cohort grade point average of at least 3.0 on a 4.0 scale or the equivalent on another scale, as determined by the Michigan Superintendent of Public Instruction, upon earning the degree required under MCL 380.1531i(2)(b). If a cohort member has earned more than 1 degree, the highest grade point average earned by the cohort member must be used in calculating the cohort grade point average under this subparagraph.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
Foundations Module |
6 Credits | |
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UEDU600 | This course explores research on effective teaching practices with emphasis on direct instruction. Additional topics of study include assessment of learning and use of technology in instruction. Candidates will also explore ethical requirements for educators and themes of diversity in the teaching profession. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Admission to the Master of Urban Education program | |
UEDU610 | This course will introduce candidates to the historical, sociological, and political factors both locally and writ large that have led to today’s urban schools. A particular emphasis will be placed on equity as so far as it pertains to attendance, school funding, pedagogy, assessment, standardized testing, classroom management and family involvement. This module helps fulfill credit hours requirements in the area of Diverse Learners. Prerequisite(s): Acceptance to the Urban Education Program. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. |
Transformational Module |
7 Credits | |
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UEDU682 | ||
UEDU715 | In this course, candidates will examine psychological theories and practices that enhance task performance particularly among youth in urban settings. The course teaches candidates effective strategies to combat task performance subversion, which describes the phenomenon in which capable individuals are hindered when a social-psychological threat is presented at the time of performance. This course also covers techniques in positive psychology literature, which can be used to help urban youth maximize achievement through identifying and embracing their own personal and academic strengths. Educational Psychology in Urban Environments helps fulfill credit hours requirements in the area of Child Development or Child Psychology. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): UEDU610 | |
UEDU730 | In this course, candidates learn how to create and maintain a positive learning environment in their classrooms. Additional topics for study include cultural dimensions of classroom management, motivating student achievement, fostering cooperation among students, reinforcing appropriate behavior, and ethics and law governing teacher-student relations. Candidates will be exposed to a variety of classroom management styles and strategies. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): UEDU610, UEDU630, UEDU656 and the successful completion of the first 3 credits of the Core Methods class |
Apprenticeship Module |
6 Credits | |
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UEDU665 | This course is a supervised, field-based experience in a special education setting. Candidates must demonstrate proficiency in applying effective teaching practices and classroom management strategies while evaluating special education research based theories. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): UEDU600 and UEDU610 | |
UEDU756 | This course provides an advanced understanding, design, and implementation of differentiated instruction across content areas for a range of student ability levels found in urban settings. It examines classroom instructional management strategies that will positively impact lesson delivery and student learning in diverse classrooms and in classrooms with high levels of poverty. This course helps fulfill credit hours requirements in the area of Instructional Strategies. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): UEDU682, UEDU715, UEDU730, UEDU742 and the successful completion of the second 3 credits of the Core Methods class |
Core Methods Course |
3 Credits | |
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UEDU700 | Candidates in the College of Urban Education are required to have clinical practicum experiences throughout the program. Candidates’ professional competencies are measured through on-site faculty observations using instruments that assess teaching practice. These instruments describe the observed performance by determining mastery of specific items within rubrics for each performance area. The observations provide candidates knowledge regarding areas of teaching that need to be developed, based on ratings in performance areas. Additionally, the observations provide the framework to guide conversations about methodologies and strategies teachers can use to develop and grow. This course is a required practicum every Fall and Winter semester for the Certificate in Urban Education until all the requirements have been satisfied to be recommended for the State of Michigan Standard Teaching Certificate and for the Master of Urban Education until completion of the program. Applicable Course Fe | |
UEDU701A | This course presents an in-depth study in the teaching of literacy for improving reading skills in all students. The course will present characteristics and factors contributing to struggling readers and provide teachers with strategies to remediate Pre-referral guidelines of federal and state laws will be discussed, including RTI, scientifically research-based and evidence-based instruction, and on-going progress monitor of student performance. An emphasis on instructional tools, guidelines for instruction, organizational and teaching strategies, remedial methods and techniques for the child with a disability in preschool through secondary education will be introduced in this course. Instructional activities will be aimed at promoting the subject literacy of their students. Teachers will gain insights into methods of effective communication and interaction with students, utilization of technology for laboratory research and reference, and methods of evaluating student achievement. Pro |
Predictive Analytics and Data Visualization
Predictive Analytics and Data Visualization (PREDVIL GRC)
12 Credits
GRADUATE CERTIFICATE • 12 CREDITS • PREDVIL GRC
Data Analytics analyzes vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. The Predictive Analytics and Data Visualization Graduate Certificate is offered online and prepares individuals to build predictive and forecasting models, generate data visualization products, and build data dashboards and automated reports. The Graduate Certificate uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in predictive modeling, forecasting and data visualization for students from a broad range of disciplines and experiences, including those who are new to the field. Credit from this certificate program can be transferred to the Master of Science in Data Analytics Degree program.
DATA courses are only offered in a 15-week online format.
Which class should I take? When should I take it?
See our Recommended Program Sequences:
- Predictive Analytics and Data Visualization, GRC (web)
- Predictive Analytics and Data Visualization, GRC (pdf)
Courses |
12 Credits | |
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DATA667 | Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. A key element of instruction is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
DATA710 | R programming language concepts are covered within the context of how they are implemented in practice when conducting high-level statistical analysis. The instructional approach in this course focuses on application-based programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects will be used to provide working examples. Upon completing this course, students will be able to employ advanced modeling techniques to write R code to conduct data analysis with strong reusability. | |
DATA772 | This course covers statistical procedures used in data analytics with emphasis on hands-on practice. Industry standard software is used to import and prepare data for model development as well as for developing various types of regression models. Assessment of model performance and methods for model selection are also covered. Emphasis is also placed on parameter estimation, variable selection, and diagnostic checking of these models and their use for statistical inference and prediction. Both numerical and graphical techniques are used for diagnostics and reporting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA710 | |
DATA785 | This course covers statistical modeling in the use of statistical methods to develop models that can be used for predicting future numerical or categorical outcomes in processes for disciplines ranging from business to science. The philosophy of modeling as well as common modeling methods and model adequacy assessment procedures are covered. Industry standard software is used to prepare data, develop and assess models, obtain predictions, and present results. The main thrust of the course is on the application of predictive modeling rather than the theory behind it. Selected projects will be used to provide hands-on experience with the various steps involved in modeling and predicting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA772 |