Our Curriculum Prepares You to Become a Data Translator
The online master’s in applied analytics program prepares you to use data to anticipate customer needs and make sound business decisions related to any function of your organization.
You will take core courses in two main areas: decision sciences and information systems. Each course applies your learning to real-world business scenarios so that you can gain valuable experience.
In addition to teaching technical and analytical skills, the program provides leadership and management training so that you can effectively communicate and implement your insights. Here is a sample of the skills you will develop while pursuing your master’s in applied analytics online:
- Cleaning corrupt or inaccurate data.
- Understanding and using decision trees.
- Writing algorithms with built-in decisions.
- Communicating data insights to leadership.
The online MS in Applied Analytics can be completed in as little as one year on an accelerated schedule or up to 20 months part time. As part of the program, you will also attend an immersion in Los Angeles during your first term.
Curious to know what your schedule might look like? Check out a sample course sequence.
Immersion: Personal and Leadership Development Workshop - 1 unit
This workshop serves as an orientation to the experiential and team-based models of learning used at the Pepperdine Graziadio Business School. Students engage in exercises that enhance communication, ethical decision-making, career development, and other relevant skills for interpersonal effectiveness in business.
Advanced Statistical Tools - 2 units
This course begins with advanced treatment of model building for decision-makers and continues with a presentation of the use of SPSS to analyze discrete multivariate models. Some attention is given to long-standing techniques for categorical data. The primary focus of this course is modeling techniques, particularly logistic regression, discriminate analysis, and neural networks.
Optimization Modeling - 2 units
This course introduces students to solving optimization problems in engineering design, portfolio design, system management, parameter estimation, statistics, and the modeling of physical and behavioral phenomena. This course begins with linear programming and then progresses through to nonlinear and integer programming.
Predictive Analytics - 2 units
This course teaches students critical skills for succeeding in today's data-intensive world, including business case studies, data analysis, and management recommendations. Students learn how to utilize database systems and analytics software and how to make trustworthy predictions using traditional statistics and machine learning methods.
Simulation Modeling - 2 units
This course systematically explores methodological issues in connection with computer simulations. Students specifically examine the relation between models and simulations, as well as the role of computers in the practice of modeling and simulation of decision-making.
Multiple Attribute Decision Analysis - 2 units
This course examines a major class of problems in decision analysis: one-time decisions where a group of alternatives must be compared on the basis of multiple (and possibly competing) goals and objectives. As business leaders increasingly consider the social and environmental consequences of their firms’ actions, the ability to solve multi-attribute decision problems becomes more important.
Business Process Analysis and Innovation - 2 units
This course introduces students to key concepts and approaches to business process analysis and improvement. The main focus of this course is both understanding and designing business processes that accomplish specific desired outcomes. Students learn the way in which information technology can be used to improve or alter business processes.
Web and Social Media Analytics - 2 units
This course focuses on the difference between knowing what the stats mean and knowing which stats are meaningful. Students are first able to identify which metrics are important for decision-making and focus on these rather than "vanity" metrics. This class also equips students to make critical decisions regarding trade-offs in terms of what is most important to decision-makers.
Big Data Management - 2 units
This course provides an understanding of the business value of big data, the importance of effective management of big data, and the development of technical competencies using leading-edge platforms for managing and manipulating structured and unstructured big data.
The Art and Science of Business Analytics - 2 units
This course looks at creating organizational value through business analytics, which is the way in which enterprises such as businesses, nonprofits, and governments can use data to gain insights and make better decisions. Effectively using data to drive rapid, precise, and profitable decisions has been a critical strategic advantage for a lot of major companies.
Analytics for Customer Insights - 2 units
This course covers the use of information technology and systems that enable and enhance marketing strategies and tactics. Various marketing systems are providing overwhelming amounts of data to marketers and other decision-makers in organizations. In addition, this course prepares managers to face challenges that come with data collections and information use.
Valuation of Real Options - 2 units
This course includes a review of the fundamental theory of decision analysis and options as well as an introduction to numerical techniques for solving dynamic programming problems, such as binomial lattices and trees. The course also provides hands-on experience with software tools used for the numerical analysis of problems using these ideas.
Supply Chain Analytics - 2 units
This course focuses on a data-driven approach to supply chain management decision-making. This class introduces and explains how analytics is being used by logistics and supply chain practitioners. Emphasis is placed on the development and use of analytics-based models to show the concepts in both intra-firm logistics and inter-firm logistics operations.
Healthcare Analytics - 2 units
This course offers a comprehensive introduction to the fundamentals of healthcare research methodologies, including research design, data collection, and applied statistics. In addition, this course introduces students to basic operations research/management (OR/OM) techniques and demonstrates how those tools can also be applied in health service management.
Communications with Data - 2 units
This course is a structured approach for communicating data insights, and it involves a combination of three key elements: data, visuals, and narrative. The focus of this course is to provide experience in communicating a specific position or point of view from data through a combination of data-driven visuals and a carefully crafted storytelling technique.
Project Management - 2 units
This course provides an introduction and an overview of the variety of topics and diverse functions of project management. The course explores the fundamental theory of each function and identifies essential project management skills, practices, and tools. Students are required to use skills learned throughout the course to implement a plan to deliver to a client, for a project.
Marketing Informatics - 2 units
This course covers the use of information technology and systems that enable and enhance marketing strategies and tactics. This course prepares managers to face the challenges of various information systems, data collection methodology, and organization; the process of mining valuable information from the data; and ethical situations created by data collection and information use.
Information Security Data Analytics - 2 units
This course equips business managers to recognize and address the key risks to business information systems and data. Utilizing data analytics across different dimensions is critical for effectively providing information security analytics. An essential element of a risk-based approach is the use of user-behavior analytics (UBA) to compare and contrast threats against normal behavior.
Business Analytics and Intelligence - 2 units
This course introduces techniques to transform data into business intelligence and to use analytics to create business value. Students learn to develop solutions to real-world problems through a combination of readings, case studies, applied projects, technology demonstrations, guest lectures, and assignments to analyze and interpret real data.
Competitive Intelligence - 2 units
This course examines competitive intelligence (CI) models, functions, and practices; the roles of information professionals in CI; and the management of CI. Discussion and practice topics may include intelligence ethical and legal considerations and identifying intelligence needs; and intelligence project management. Knowledge of print and electronic business information sources is recommended.
Financial Modeling - 2 units
This course provides students with an understanding of financial decision-making while creating financial models in spreadsheet packages such as Excel. Through a series of increasingly complex models, the class exposes the student to methodologies and practices that improve the student's ability to communicate and present complex financial decisions.
Erik Krogh, PhD, Practitioner Faculty of Information Systems Technology Management
Dr. Erik Krogh’s 22 years of diverse experience includes positions from data analyst to division CIO. He is a member of the Southern California Chapter of the Society for Information Management (SIM) and participates in CIO roundtables where top Southern California IT executives discuss their real-world issues.
The Pepperdine Graziadio Business School strives to admit a diverse student body, with applicants who have a variety of academic backgrounds and life experiences. Our online master’s in applied analytics program is designed for business professionals with at least three years of relevant career experience. To apply, you must have earned a bachelor’s degree from an accredited institution.
You must submit the following to be considered for admission:
- Online Application: A nonrefundable application fee of $150 is required, however, you can get your application fee waived if you finish your application by the priority deadlines. Contact an admissions counselor before submitting your application in order to receive the waiver.
- Statement of Purpose: This statement should outline your motivation for obtaining this degree and describe three significant accomplishments.
- Resume: Provide a current resume, and include a summary of your academic background and professional experience.
- GMAT or GRE Scores: These scores help us determine whether you are prepared for graduate study in business. Already took one of these tests? GMAT or GRE scores are valid for five years. If you have yet to take either exam, a waiver is available for applicants who have three years of relevant professional experience and meet additional requirements.
- Official Transcripts: We must receive official transcripts from each postsecondary school you have attended. You may have your transcripts delivered electronically to firstname.lastname@example.org or mailed to the following address:
Application Processing Services
7900 Harkins Road
Lanham, MD 20706
Early Priority Deadline
May 3, 2019
May 31, 2019
June 28, 2019
Early Priority Deadline
September 20, 2019
October 18, 2019
November 15, 2019
Upcoming Admissions Events
Pepperdine Graziadio Business School prepares students to work together for a brighter future, and our admissions events reflect the sense of community we foster. Hosted on the same platform used to deliver classes, our online information sessions offer you an opportunity to explore the online learning experience, connect with faculty and the admissions team, and learn more about our programs. As an added benefit, all attendees will receive an application fee waiver.
|Monday, July 1||12:00 PM PT||Program Overview Webinar|
Tuition and Financial Aid
Tuition for the online master’s in analytics program for the 2019–2020 academic year is $1,960 per unit. The online program comprises 31 units. Additional fees can be expected each semester, including travel and accommodations for two required on-campus immersions.
The cost per unit for the 2020–2021 academic year will increase up to 5 percent. You can also expect an estimated tuition increase of 4 to 6 percent each academic year you are enrolled.
You may be eligible to apply for federal student aid and private scholarship opportunities to help fund your graduate education. For more information about how to finance your master’s in applied analytics online, visit our tuition and financial aid page.
The Online Student Experience
Our online Master of Applied Analytics program combines self-paced course work with live online classes to create an engaging student experience. The convenience of our online learning environment allows you to earn your degree while managing your professional and personal commitments.
If you want to find out about all of our program options that are offered online and on campus, visit the Graziadio Business School website.
Access to Course work
Learning Through Our Online Platform
Each week, you will attend live online classes via HD streaming video, bringing you face-to-face with your classmates and faculty in real time. The online classroom takes advantage of dynamic sharing and collaboration features that are designed to enhance each student’s learning experience. Tools and functionality include:
- Small group break-out rooms.
- Video-, document-, and screen-sharing capabilities.
- Collaborative content annotation and full class recordings.
- Live chats, surveys, and polls.
The entire suite of classroom features and functions is fully accessible from any desktop, tablet, or mobile device.
As a student in the online program, you will receive a Global Access membership to WeWork, a network of shared workspaces in hundreds of cities worldwide. With this membership, you will have access to:
- Any WeWork location.
- All WeWork amenities (work stations, Wi-Fi, power outlets, printing and copying, lounges and kitchens, private phone booths, refreshments, and on-site support staff).
- WeWork events and meet-ups.
- Workspaces that are available through the WeWork app or website.
Mark Chun, PhD, Department Chair of Decision Sciences‚ Information Systems‚ and Strategy
Dr. Mark Chun has worked for companies such as Intel Corporation, PepsiCo / Taco Bell, Coopers & Lybrand, and the Bank of Hawaii. His research focuses on the use of information technology to create value and to transform organizations. He has also researched the integration of information systems, knowledge management, and change management.
Build Your Career with a Master’s in Applied Analytics
Organizations of all sizes must justify their decisions to audiences such as employees, customers, board members, and governmental bodies. The infusion of data into every step of decision-making makes it easier to not only explain decisions after they are made but also to ensure that sound decisions are made at the outset.
Earning a master’s in applied analytics online prepares you to pursue a variety of roles across several industries. Here is a sample of the types of areas in which you could apply your skills:
- Financial analysis
- Supply chain management
- Project management
Career Demand and Salary Expectations
Here are other positions that you could pursue after earning your master’s in applied analytics online:
- business analyst
- business intelligence analyst
- business data analyst
- business analyst manager
- business analyst consultant
There are many opportunities for aspiring business analysts, and the first step is earning a master’s in the field.
The Graziadio Business School Is Dedicated to California
Pepperdine University has been a beacon of ethical values in higher education since 1937, and the Graziadio Business School has served more than 40,000 students from California and beyond. Through the online program, you can learn the analytics skills you need to serve organizations of all shapes and sizes, whether you live in San Francisco, Sacramento, or beyond.