Applied Data Science
Post-Master Certificate
In today's market, data-driven decisions are essential for an organization's success. Detroit Mercy's graduate programs in Applied Data Analytics combine academic instruction and experiential learning so that successful graduates learn the skills and knowledge for high-paying careers including data specialists, data analysts, business analysts and database specialists.
This 15 credit-hour (five-course) graduate certificate is designed to provide hands-on training in the area of applied data analytics. Coursework focuses on development of knowledge and skills in critical reasoning, measurement development and evaluation, data management, data analytic software utilization, multivariate data analysis and modeling, and data mining techniques.
The curriculum explores current topics in data analytics, such as quantitative methods, business and financial statistics, emerging ideas and technologies, big data, business forecasting and data mining. The skill set learned will allow students to sift through mountains of data to extract simple relationships and make valuable inferences. Students will be able to apply their skills to make data-informed decisions and to identify new opportunities for the organization. Upon earning the certificate, students will be armed with various technologies that support effective business decision making in today's increasingly competitive environment.
The Applied Data Analytics Graduate Certificate program is offered online and on campus through the Department of Economics in the College of Liberal Arts & Education. Courses from this certificate program can be applied to the Master of Science in Applied Data Analytics.
Program Outcomes
This certificate program provides high-quality training in applied data analytics so that graduates will be capable of making data-informed decisions for organizations.
Upon completion of the Applied Data Analytics Graduate Certificate, graduates will be able to:
- Apply critical thinking skills with particular attention given to the cultivation and application of scientific reasoning to practical problems and an understanding of ethics as related to all aspects of data analytics.
- Contribute to the development of knowledge regarding different forms of research design, measurement and data and how to evaluate the quality of data.
- Demonstrate competencies in a variety of database structures and data mining techniques.
- Develop and apply knowledge of different types of statistical analysis and statistical software packages to uncover hidden patterns and valuable insights in data.
- Facilitate information sharing efficient and practical manner by developing written and oral communication skills.
Yu Peng Lin, Ph.D. teaches Microeconomics, Macroeconomics, Financial Economics, Money and Capital Markets, Macroeconomic Policies, and Econometrics. Lin's research and publications have dealt with employee compensation strategies, human resource management, and productivity. He has published three textbooks and many research articles appearing in academic journals such as Industrial Relations and British Journal of Industrial Relations. He is currently doing research in the area of top executive compensation in an international context, the relationship between managerial compensation and firm survival, and information asymmetry. He holds a Bachelor of Arts (International Trade) from Tunghai University, a Master of Science (Finance) from University of Colorado, and a Master of Arts and doctoral degrees (Economics) from the State University of New York at Buffalo. He joined the University in 2011
Required Courses (9 Credits)
| CSSE 5310 | Data Mining | 3 cr |
| DATA 5001 | Science and Data | 3 cr |
| ECN 5150 | Quantitative Foundations for Data Analysis | 3 cr |
Electives, Choose Two (6 credits)
Students must consult with their advisor before selecting courses that are not already required from Economics (ECN) electives or Data Analytics (DATA) electives.
Program Requirements
Applicants to this program must have a bachelor’s degree from an accredited institution.
To apply for this program, complete the online application at udmercy.edu/apply.
Then upload the following:
- Official transcripts from all previous academic work
- A resume
- Any other information you feel is important to the admission consideration.
Admission decisions are based on grade point average, work experience and other factors that support successful study in this field.