Earn Your Online Master's in Data Analytics
Why Data Analytics?
Ever wish you could predict the future or identify current trends? So do companies big and small. That’s why they turn to data analytics to identify the likelihood of future outcomes based on historical data. Data analytics professionals apply a variety of techniques like data mining, predictive modeling, deep learning algorithms, machine learning, and even artificial intelligence to sets of data to, quite literally, predict trends and behavior patterns.
Data analytics proves to be a growing area of significance for businesses around the world. Unlike business analytics, which focuses on past performance patterns, data analytics uses data big or small to anticipate—and plan for—the future.
The Degree You Need to Lead the Charge
The need for talented analytics professionals is bigger than ever. Whether you’re dabbling in data or an expert in the making, a Master’s Degree in Data Analytics from Moravian is your chance to be part of something big and stand out from the crowd.
The demand for employees with big data expertise has increased by over 85% in just four years, but companies are looking for so much more than number crunchers—they need leaders, strategic thinkers, and well-rounded analysts. They’re looking for data analysts who can spot trends and turn them into plans. Sound like you? Earning a Master’s in Data Analytics can prepare you even further for the following opportunities:
- Chief Data Officer
- Customer Insight Analyst
- Big Data Developers
- Head of Data Science
- Analyst Roles (Data, Management, Marketing Research, Operation Research)
- Business Operations Specialist
Take the stress out of your Master's journey
Whether you need an all-in-one resource about the program, a preview of the student experience, or answer questions about the program, we've got you covered.
Join the fast-growing field that’s powering our future.
Moravian programs feature a unique combination of real-world course content, leadership development, and team-based learning experiences to prepare you for whatever your next challenge may be. You’ll go beyond technical abilities with critical thinking, leadership training, and communication across all programs—because we don’t believe learning happens in a silo. We prepare students to successfully advance their careers by providing personalized student support, a curriculum informed by real industries, and one-on-one career guidance.
Leadership & Communication Focus
Develop your ability to lead people and drive informed decision-making.
Apply new skills immediately to your current and future careers.
Learn how to use your degree to build the career you want.
Meet Your Student Experience Mentor
Leadership & Communication Focus
Leadership development and communication are a central focus for all Moravian business programs. We’re committed to grooming leaders who are skilled at developing individuals and managing conflict. Once you’ve completed your analysis work, we want to be sure you know how to use your strong communication skills to present your findings and drive informed decision-making.
Our approach to leadership development is focused on the critical competencies that contribute to the ability to lead people. You’ll gain:
- Problem solving skills
- Global and cultural awareness
- Ethical decision-making abilities
- Management skills
- Critical Leadership Competencies
Moravian students gain critical technical skills for succeeding in today's data-intensive world based on the most common systems and technologies you’ll see on the job. With a curriculum based on real-world connections, you can immediately apply the skills acquired in a Moravian business program to your current and future careers. You’ll progress through a curriculum that includes:
- Linear modeling
- Database systems
- Analytics software, including Excel, SPSS and R
- Capstone Project, solving a real business’s current challenges
This is a self-paced, no-cost course designed to develop foundation skills in the R programming language prior to a student beginning their technical course work. This popular language is at the heart of the Moravian MSDA program. Topics include Installing R, navigating the R workspace, understanding the structure of R commands, data sets, data management, performing basic statistical analysis, and how to create visualizations using several different plot functions.
Good business decisions and strategy depend on drawing inferences from data. Today, businesses gather and store vast amounts of data on customers, markets, and the business itself. In this course students will learn how to predict and explain phenomena in the environment through the gathering, analyzing, interpreting, and reporting of information that makes business decision makers more effective. The course focuses on methods of conducting business research, including data collection and sampling, measurement, hypothesis testing, basic quantitative analysis, and multivariate statistical techniques. Students will design and execute their own analysis of data in a business discipline of their choice. Excel is used extensively in the course as an analysis tool.
Various personal skills—such as communicating verbally and nonverbally, analyzing, reflecting, strategic thinking, time management, managing information, stress management, and career management—contribute significantly to an individual’s ability to lead people. Using a variety of tools and techniques, participants in this course will assess and develop their emotional intelligence, capacity to make judgments, and relationship management skills through reflective practice that aligns their theoretical knowledge with their workplace experiences. Emphasis will be placed on problem solving styles, building global and cultural awareness, ethical decision making, and developing knowledge management skills.
Leaders and managers achieve goals working with and through others. They must be skilled in developing individuals to work in teams, in facilitating teams, and in managing conflict. Leaders and managers must understand organizational and national cultures and how they affect the achievement of goals. They must not only hold strong ethical values, but also model them.
This course examines the role of managers as leaders in organizations and develops knowledge and skills needed by managers in today’s business environment to successfully achieve organizational goals. This course focuses on who leaders are and what leaders do. It is important to know what accounts for effective leadership and how one can become an effective leader. Subsequently, course material will focus upon fundamental principles of leadership and how these principles relate to becoming an effective leader. Emphasis will be placed on self-reflection and analysis in regard to developing one’s own leadership skills.
This course covers fundamental issues in large scale data management. The course examines issues related to data organization, representation, access, storage, and processing. Discussion includes open source and commercial solutions, with special attention being paid to large distributed database systems and data warehousing. The course introduces technologies and modeling methods for large scale, distributed analytics.
Big Data Analytics is the process of exploring and modeling large data sets to find patterns and gain insights for making actionable knowledge. Students will use MS Excel to explore large data sets from different business areas to support business decision making. This course will introduce students to data mining techniques, and the various problems that can be solved using the techniques. Students will learn to select appropriate analysis methods, use statistical software to apply those methods, and critically evaluate and communicate the results.
This course is focused on methods concerned with relations among variables and/or significant group differences. Multiple regression will be covered. Other techniques such as principal components analysis (PCA), exploratory factor analysis (EFA), which examines the interrelation between variables, and cluster analysis (CA) and discriminant analysis (DA), which are both concerned with the interrelations between cases or groups, will also be covered.
This course extends linear OLS regression by introducing the concept of Generalized Linear Model (GLM) regression.
The course reviews traditional linear regression as a special case of GLM’s, and then continues with logistic regression, poisson regression, and survival analysis. The course is heavily weighted towards practical application with large data sets containing missing values and outliers. It addresses issues of data preparation, model development, model validation, and model deployment.
Drawing upon previous coursework in predictive analytics, modeling, and data mining, this course provides a review of statistical and mathematical programming and advanced modeling techniques. It explores computer intensive methods for parameter and error estimation, model selection, and model evaluation. The course focuses upon business applications of statistical graphics and data visualization, tree structured classification and regression, neural networks, smoothing methods, hybrid models, multiway analysis, and hierarchical models. This is a case study and project-based course with a strong programming component.
The capstone course focuses upon the practice of predictive analytics. This course gives students an opportunity to demonstrate their business strategic thinking, communication, and consulting skills. Students work on projects that can be work- related or part of a consultative effort with an organization. Students will present their project online to faculty and peers.
After taking this course, you will be able to:
- Plan and execute an ethical data analytics project for an organization
- Understand how analytics projects, including data extraction, transformation, and loading (ETL), can be applied to solve real world problems.
- Understand how big data projects assist organizations to achieve their goals.
- Exhibit the ability to identify, measure, interpret, and incorporate relevant information in analyzing problems and making effective business decisions.
- Demonstrate an ability to write a data analytics report, make recommendations, develop conclusions from the research, and make substantial recommendations to decision makers.
- Demonstrate an ability to orally present a consulting report to an executive audience.
This course presents tools for decomposing complex decisions into constituent parts allowing each part to be solved separately and reintegrated into the overall problem solution. Subjecting complex decisions to a formal decision analysis process provides decision makers with much greater clarity about the true nature and risks inherent in the decision being made and produces more precise estimates of the range of outcomes that each decision option may yield. Decision analysis tools are commonly used to assist decision makers in complex decision environments such as those with multiple quantifiable and non quantifiable objectives, those that create, eliminate, or change options faced in subsequent decision environments, and decision options whose impacts are shaped by risk and uncertainty in current and future environments. Techniques such as decision trees and probability distributions, influence diagrams, the Simple Multi-Attribute Technique (SMART), Monte Carol simulations, Bayesian analysis scenario planning, and others will be discussed.
Introduces project management—the administration of a temporary organization of human and material resources within a permanent organization to achieve a specific objective. You consider both operational and conceptual issues. You learn to deal with planning, implementation, control, and evaluation from an operational perspective. In the conceptual arena, you study matrix organization, project authority, motivation, and morale and explore the differences and similarities between project and hierarchical management. You investigate cases that illustrate problems posed by project management and how they might be resolved.
A central part of ecommerce and social network applications, the World Wide Web is an important channel and data source for online marketing and customer relationship management. This course provides a comprehensive review of Web analytics, including topics in search marketing, social network marketing, social media analytics, user generated content management and marketing, mobile advertising and commerce, and CRM strategy. The course examines the use of Web sites and information on the Web to understand Internet user behavior and to guide management decision making, with a particular focus on using Google Analytics. Topics include measurements of enduser visibility, organizational effectiveness, click analytics, log file analysis, and ethical issues in analytics. The course also provides an overview of social network analysis for the Web, including using analytics for Twitter and Facebook. This is a case study and project based course.
This course begins with a review of human perception and cognition, drawing upon psychological studies of perceptual accuracy and preferences. The course reviews principles of graphic design, what makes for a good graph, and why some data visualizations effectively present information and others do not. It considers visualization as a component of systems for data science and presents examples of exploratory data analysis, visualizing time, networks, and maps. It reviews methods for static and interactive graphics and introduces tools for building webbrowser.
Our Corporate Partners
We don’t just want to teach you the skills to succeed—we want to help you put your skills to the test in the position you’ve been dreaming of. When you join the Moravian Graduate Online family, you partner with a student experience mentor (SEM) dedicated to helping you succeed in the program and in your career.
We see career advancement as an equal pillar of your education, and we’re committed to going the extra mile by teaching you how to use your degree to build the life you deserve. This commitment means even after you earn your graduate degree, you’ll have access to our Career Services and Advisors. We’ll always support your next career move through:
- Lifelong access to career services
- Career coaching and reflection
- Interview help/prep, including how to showcase Capstone Project and build your portfolio
- Resume help
- Access to career fairs
- On-campus network opportunities
Career success that makes your MSDA worth it
Wondering if an MSDA is worth it? It is when it comes from Moravian. And we have the evidence to back it up with career outcomes, real student success stories, and lifelong access to career services.
of Graduate Business Students Received a Promotion While Enrolled*
of Graduate Business Students Received a Promotion or Job Offer After Graduation*
of Graduate Business Students Received a Salary Increase with their Promotion*
*Survey Respondents N = 49
See What You Can Do
Use the list below as a quick reference for the most important application details. Visit our Admissions Guide for the complete list of everything you’ll need to apply and succeed in the program.
Program admission requirements include the completion of undergraduate-level business competencies prior to your first course enrollment; a student must have a GPA equivalent to 2.8 or higher in the business competencies to graduate. The business competencies required are:
- Statistics or equivalent
- Principles of Economics (Macro & Micro) or equivalent
- Managerial Finance or equivalent
*Prerequisites must be completed prior to starting the program. These can be completed through our Academic Leveling Courses or ALC’s. ALC’s are $44 and consist of a 20 question pre-test, as much content learning as needed, followed by a 20 question post-test. Students have two chances to earn an 80% or higher on the post-test to fulfill the prerequisite.
The online MSDA program accepts applications on a rolling basis. Classes begin in three different cohorts. All candidates must have a baccalaureate degree from a regionally accredited institution. In consideration, each should submit the following:
- Graduate Business Application
- The application deadline will be 2 weeks prior to each cohort start date.
- Acceptance is based on an overall GPA of 3.33 or higher OR 2 plus years of professional working experience.
- Official Transcripts from all institutions previously attended
- A professional resume
- Personal statement to the Admissions Committee
- Official GMAT scores (WAIVED FOR 2021 APPLICANTS)
- Two recommendations
- An interview
When you participate in our Instant Decision Day, you’ll apply and get your admissions decision on the same day. That means no more “Did I get in?" questions looming over your head. You get to focus on what really matters, like deciding if our Online MSDA program is right for you.
Program Start Date
|August 30, 2021||August 16, 2021|