Master's in Applied Analytics
Program Overview
Muhlenberg College's Master's Degree in Applied Analytics is a ten-course, two-year program where professionals develop the necessary data skills to identify patterns, analyze results and predict future outcomes.
Data analytics is the universal language that almost all businesses speak today. The master’s in applied analytics program from the Muhlenberg College School of Graduate Studies can help you build your analytics skills and advance your career.
We offer both a master’s degree and a certificate in applied analytics. Our program is designed to give you a foundational knowledge of statistical analysis and data applications.
You’ll learn how to find critical patterns within datasets, create descriptive data summaries and visualizations, and tell powerful stories with data analytics. You’ll also learn how to use some of the most popular business intelligence and data analytics programs.
Our Master’s in Applied Analytics (MAA) also lets students refine their skills through team projects and problem-solving contexts, from urban analytics, urban simulation and geodemographics to predictive analytics and population health, sustainability and epidemiology.
Admissions Requirements
Prospective students must have completed an undergraduate degree at an accredited institution. Students admitted to a graduate program will have the following:
- Bachelor’s degree from a regionally accredited institution.
- Two years of work experience or, if a senior or recent graduate, professional work experiences through internships, summer work, externships, and projects may be sufficient.
- Additional admissions requirements follow the college’s graduate admissions policy.
Program Structure
-
Duration
The program consists of ten courses, each running for eight weeks. - Learning Modality
Online- 100% online learning
Learning Outcomes
- Demonstrate a solid understanding of database design, schemas, modeling, validation, cleansing, preparation and end-user experience.
- Demonstrate proficiency in the use of contemporary quantitative tools, analysis methods, data model design and trend analysis.
- Discriminate when to use specific tools and methods appropriately; and demonstrate the ability to plan, design and create models for managerial decision-making.
- Prepare, transform and load large sets of data ("big data"); demonstrate the ability to summarize data sets into manageable aggregate datasets in actionable intelligence and key performance indicators.
- Show a mastery of tools and the ability to select appropriate predictive and stochastic modeling methods for effective decision-making and planning.
- Show a mastery of contemporary tools—including programming and proprietary application languages—to develop and transform functional and informative data.
- Demonstrate knowledge of ethical treatment of data, including applying ethics and judgment to data analysis and interpretation; and regulatory requirements regarding privacy, confidentiality and governance.
Tuition and Financial Aid
Each course in the Applied Analytics Program costs $850 per credit hour or $3,400 per course. Tuition includes all books, technology fees and other course-related costs. Please visit our financial aid page for more information.
Total cost of Tuition
- Applied Analytics Graduate Certificate: $17,000
- Master’s in Applied Analytics: $34,000
