How to ApplyRequest Info
How to ApplyRequest Info
two people speaking to each other while sitting at a desk

Master ofData Analytics – Marketing Analytics Option

Summary Courses Careers Costs and Aid

Gain practical, hands-on experience with statistical software and database solutions. The marketing analytics option of this master’s degree focuses on using data analysis techniques to propose solutions for today's most complex marketing challenges.

100% Online

Complete your Penn State course work at your own pace and 100% online.

Apply by November 15 to start January 13

30 Credits$1,067 per credit

Nationally Recognized

US News and World Report CIT badge
Our graduate IT programs are highly ranked by U.S. News & World Report.

Gain Skills to Excel in Marketing Analytics

  • Design, implement, and apply data analysis techniques to solve complex marketing challenges and create competitive advantage.

  • Analyze data to address issues related to brand positioning and differentiation, pricing and product strategy, brand equity, marketing campaign performance, and customer satisfaction.

  • Communicate data-driven findings to executive stakeholders.

  • Leverage broader mechanics involved in data analytics, including computational statistics and machine learning, for processing and exploring data sets.

This online graduate degree program incorporates the contemporary principles of marketing analytics with the theories and methodologies associated with data science. You can become an expert in data sciences and the application of analytics techniques, with a specific focus on the discipline of marketing.

You will take 9 credits in the program's core courses, 9 credits specific to the marketing analytics option, and 9 credits of electives in consultation with your program adviser. You will then complete your studies with the 3-credit culminating capstone experience.

Required Courses (9 credits)

  • 3
    credits

    Practical benefits of data mining will be presented; data warehousing, data cubes, and underlying algorithms used by data mining software.

  • 3
    credits

    Survey course on the key topics in predictive analytics. Students will learn methods associated with data analytics techniques and apply them to real examples using the R statistical system.

    • Prerequisite

      STAT 500 or equivalent

  • 3
    credits

    Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and two-way ANOVA, chi-square tests, diagnostics.

    • Prerequisite

      one undergraduate course in statistics

Marketing Analytics Option Required Courses (9 credits)

  • 3
    credits

    Principles of applied marketing analytics, including marketing data sources, data quality, software, and fundamentals of statistics. Special focus on translating data into meaningful business insights and strategy.

  • 3
    credits

    Introduction to data analytics for evaluating digital marketing communication, including assessment of mobile, website, and online shopper experiences; evaluation of digital campaigns, social media monitoring, and media mix modeling.

  • 3
    credits

    Examination of data analytics to strategically drive targeting, acquiring, developing relationships with, and retaining customers.

    • Prerequisite

      MKTG 811

Electives (select 9 credits)

  • 3
    credits

    Examines tools and techniques required for data collection and computational procedures to automatically identify and eliminate errors in large data sets.

    • Prerequisite

      STAT 500

  • 3
    credits

    This course will study the inter-relatedness of cyber-social and cyber-technical aspects of an organization or society as a whole.

  • 3
    credits

    This course provides a foundation in the principles, concepts, techniques, and tools for visualizing large data sets.

  • 3
    credits

    The course examines business intelligence in the era of big data. Emphasis is on the successful implementation of big data in large and small corporations that deliver extraordinary results.

  • 3
    credits

    Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression.

  • 3
    credits

    Identification of models for empirical data collected over time. Use of models in forecasting.

    • Prerequisite

      STAT 462 or STAT 501 or STAT 511

  • 3
    credits

    Analysis and construction of project plans for the development of complex software products; how to manage change and cost control.

Culminating Capstone Experience (3 credits)

All students will complete their program of study with the capstone course to give students an opportunity to apply their knowledge of the theories, methods, processes, and tools of data analytics, learned throughout their program, in a culminating and summative experience.

  • 3
    credits

    Review of analytics addressing key marketing challenges, including brand positioning and differentiation, pricing and product strategy, brand equity, and customer satisfaction.

    • Prerequisite

      MKTG 811

Course Availability

If you're ready to see when your courses will be offered, visit our public LionPATH course search (opens in new window) to start planning ahead.

Two business professionals reviewing numbers

You can use the knowledge gained from this program and the support of Penn State career resources to pursue careers in a variety of fields, depending on your goals.

Job Titles Related to This Degree

The following roles are often held by people with this type of degree:

  • Digital Marketing Strategist
  • Market Analyst
  • Market Intelligence Analyst
  • Marketing and Promotions Manager
  • Marketing Director

Employment Outlook for Occupational Fields Related to This Degree

Estimates of employment growth and total employment are provided by the U.S. Bureau of Labor Statistics and are subject to change. While these occupations are often pursued by graduates with this degree, individual outcomes may vary depending on a variety of factors. Penn State World Campus cannot guarantee employment in a given occupation.

Market Research Analysts and Marketing Specialists

13.4%
employment growth (10 years)
798,620
total employment

Data Scientists

35.2%
employment growth (10 years)
159,630
total employment

Marketing Managers

6.6%
employment growth (10 years)
328,570
total employment

Career Services to Set You Up for Success

Student having a virtual meeting on a laptop with a career counselor

From the day you're accepted as a student, you can access resources and tools provided by Penn State World Campus Career Services to further your career. These resources are beneficial whether you're searching for a job or advancing in an established career.

  • Opportunities to connect with employers
  • Career counselor/coach support
  • Occupation and salary information
  • Internships
  • Graduate school resources 

Ready to Learn More?

Get the resources you need to make informed decisions about your education. Request information on this program and other programs of interest by completing this form.

required
1 of 3

I agree to be contacted via phone, email, and text by Penn State World Campus and affiliates. I understand my information may also be shared with select providers to offer ads that may be of interest to me.Privacy Policy. reCAPTCHA protected. Google Privacy Policy and Terms of Service.

Learn more about this program

Download Program Brochure All my programs

Ready to take the next step toward your Penn State master's degree?

Apply by November 15 to start January 13. How to Apply 

Learn about this program's tuition, fees, scholarship opportunities, grants, payment options, and military benefits.

Graduate Tuition

Graduate tuition is calculated based on the number of credits for which you register. Tuition is due shortly after each semester begins and rates are assessed every semester of enrollment.

2024–25 Academic Year Rates

Tuition rates for the fall 2024, spring 2025, and summer 2025 semesters.
How many credits do you plan to take per semester?Cost
11 or fewer$1,067 per credit
12 or more$12,805 per semester

2025–26 Academic Year Rates

Tuition rates for the fall 2025, spring 2026, and summer 2026 semesters.
How many credits do you plan to take per semester?Cost
11 or fewer$1,078 per credit
12 or more$12,933 per semester

Financial Aid and Military Benefits

Some students may qualify for financial aid. Take the time to research financial aid, scholarships, and payment options as you prepare to apply. Federal financial aid may only be used to pay for credits used to satisfy program requirements.

Military service members, veterans, and their spouses or dependents should explore these potential military education benefits and financial aid opportunities, as well.

Additional Cost of Attendance Details

To view the detailed list of cost of attendance elements:

Technical Requirements

Review the technical requirements for this program.

Given the scale of data used in the data analytics program and the continuous advances in tools and platforms used in data science, students are urged to check individual course technical requirements vigilantly. At a minimum, students will need a PC that runs Windows 10 or higher with 16GB of RAM and 250GB of free space on the hard drive. Mac OS machines are not compatible for most courses in the program and are not recommended.

A figure walking on a path that includes a certificate part of the way through their progress

Show mastery of specific subjects before your degree is complete. Thanks to shared courses across programs, students can often earn a certificate along with their degree in less time than if they earned them separately.

Certificate Program Related to This Degree

The following certificate can be earned while completing this degree program:

Gain the core knowledge necessary to make data-driven marketing decisions. This online certificate program is ideal for marketing professionals and market researchers who wish to become more data-savvy and use digital analytics to strategically support a business.

Learn more

Who Should Apply?

Professionals in market research, brand management, and marketing analysis will find this degree particularly useful, as it empowers them to make effective data-driven decisions that impact the customer experience, overall marketing effectiveness, and an organization's future growth.

Adult student doing course work online while a child plays nearby

Whether you are looking to finish your program as quickly as possible or balance your studies with your busy life, Penn State World Campus can help you achieve your education goals. Many students take one or two courses per semester.

Our online courses typically follow a 12- to 15-week semester cycle, and there are three semesters per year (spring, summer, and fall). If you plan to take a heavy course load, you should expect your course work to be your primary focus and discuss your schedule with your academic adviser. 

To Finish Your Degree in One to Two Years

  • Take 3–4 courses each semester

To Finish Your Degree in Two to Three Years

  • Take 2–3 courses each semester 

To Finish Your Degree in Three to Four Years

  • Take 1 course each semester

Timelines may vary based on course availability.

Convenient Online Format

This program's convenient online format gives you the flexibility you need to study around your busy schedule. You can skip the lengthy commute without sacrificing the quality of your education and prepare yourself for more rewarding career opportunities without leaving your home.

A Trusted Leader in Online Education

Penn State students wearing caps and gowns at their commencement ceremony

Penn State has a history of more than 100 years of distance education, and World Campus has been a leader in online learning for more than two decades. Our online learning environment offers the same quality education that our students experience on campus.

Information for Military and Veterans

Four sergeants major in the Army pose for a photo with Army uniforms and military honor cords

Are you a member of the military, a veteran, or a military spouse? Please visit our military website for additional information regarding financial aid, transfer credits, and application instructions.

Note: This program is under review for GI Bill® eligibility, and you may experience delays attempting to use GI Bill benefits toward this program until it has been officially approved.

GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs (VA). More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill.

A new student holding a sign that reads, We Are Penn State and #PennStateBound

Apply by November 15 to start January 13

Application Instructions

Deadlines and Important Dates

Complete your application and submit all required materials by the appropriate deadline. Your deadline will depend on the semester you plan to start your courses.

  • Spring Deadline

    Apply by November 15 to start January 13

  • Summer Deadline

    Apply by March 15 to start May 19

  • Fall Deadline

    Apply by July 15, 2025, to start August 25, 2025

Steps to Apply

  1. For admission to the J. Jeffrey and Ann Marie Fox Graduate School, an applicant must hold either (1) a baccalaureate degree from a regionally accredited U.S. institution or (2) a tertiary (postsecondary) degree that is deemed comparable to a four-year bachelor's degree from a regionally accredited U.S. institution. This degree must be from an officially recognized degree-granting institution in the country in which it operates.

    Applicants with an undergraduate degree in a quantitative discipline such as science, engineering, or business will be given preferred consideration. Applicants from other disciplines will be considered based on prior course work, professional work experience, and/or standardized test scores.

    GPA — Postsecondary (undergraduate), junior/senior (last two years) GPA of 3.0 or above on a 4.0 scale is required.

  2. You will need to upload the following items as part of your application:

    Official transcripts from each institution attended, regardless of the number of credits or semesters completed. Transcripts not in English must be accompanied by a certified translation. If you are a Penn State alum, you do not need to request transcripts for credits earned at Penn State but must list Penn State as part of your academic history.

    For questions about transcripts, contact:
    Penn State Great Valley
    Phone: 610-648-3242
    [email protected]

    Test Scores — GRE/GMAT scores are NOT required and will not be reviewed.

    English Proficiency — The language of instruction at Penn State is English. With some exceptions, international applicants must take and submit scores for the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS). Minimum test scores and exceptions are found in the English Proficiency section on the Fox Graduate School's "Requirements for Graduate Admission" page. Visit the TOEFL website for testing information. Penn State's institutional code is 2660.

    References (2) — You will need to initiate the process through the online application by entering the names, email addresses, and mailing addresses of two references. Upon submission of your application, an email will be sent to each reference requesting that she or he complete a brief online recommendation regarding your professional and/or academic strengths and accomplishments, and your potential for success in an online program. The admissions committee prefers that all recommendations be written within the last six months and reference the applicant's current career goals. Please inform each reference that she or he must submit the form in order for your application to be complete.

    Program-Specific Questions/Materials

    Statement of Purpose — You should submit a personal statement not to exceed 2–3 paragraphs or 1 page that should describe your specific career goals and objectives, prior experience relevant to the decision to pursue an advanced degree, and other information that may be useful to the admissions committee. Upload to the online application.

    Vita or Résumé — A listing of your professional experience. Upload to the online application.

  3. To begin the online application, you will need a Penn State account.

    Create a New Penn State Account

    If you have any problems during this process, contact an admissions counselor at [email protected].

    Please note: Former Penn State students may not need to complete the admissions application or create a new Penn State account. Please visit our Returning Students page for instructions.

  4. You can begin your online application at any time. Your progress within the online application system will be saved as you go, allowing you to return at any point as you gather additional information and required materials.

    • Choose Enrollment Type: "Degree Admission"
    • Choose "WORLD CAMPUS" as the campus

    Checking Your Status 
    You can check the status of your application by using the same login information established for the online application form. 

  5. 5. Complete the application.

    Penn State Fox Graduate School Application

Admissions Help

If you have questions about the admissions process, contact an admissions counselor at [email protected].

Customer service representative wearing a headset

Have questions or want more information? We're happy to talk.

To learn more about the Master of Data Analytics – Marketing Analytics Option, follow the guidelines below.

For questions about the program and regarding how to apply, contact:

World Campus Admissions Counselors
Phone: 814-863-5386
[email protected]

For general questions about the program, contact:

Dr. Amanda Neill
[email protected]

Delivered through a strong partnership between three academic departments from across the University, the program offers you the opportunity to benefit from the expertise and unique perspectives of faculty who have diverse backgrounds.

With their broad spectrum of experiences, our faculty can teach you to collect, classify, analyze, and model data at large and ultra-large scales and across domains, using statistics, computer science, machine learning, and software engineering.

Faculty

  • Adrian S. Barb

    • Ph.D., Computer Science, University of Missouri
    • MBA, Finance and Management Information Systems, University of Missouri
    • B.S., Industrial Engineering, University of Bucharest

    Dr. Adrian S. Barb, associate professor of information science, teaches databases, data mining, and big data courses. He has worked as a database programmer analyst as well as a web developer at University of Missouri. His research interests include data mining, knowledge discovery in databases, knowledge representation and exchange in content-based retrieval systems, semantic modeling and retrieval, conceptual change, ontology integration, and expert-in-the-loop knowledge generation and exchange.

  • Mohamad Darayi

    • Ph.D., Industrial and Systems Engineering, University of Oklahoma
    • M.S., Industrial Engineering, Tarbiat Modares University
    • B.S., Industrial Engineering, University of Tabriz

    Dr. Mohamad Darayi, assistant professor of systems engineering, focuses his principal research and key publications on infrastructure network resilience and simulation modeling applications in health care, manufacturing, and supply chain management. He teaches courses in system simulation, risk analysis, network modeling, and data analytics.

  • Chelsea Hammond

    • Ph.D., Communication Science, University of Connecticut
    • M.L.S., Southern Connecticut State University
    • B.A., English, Philosophy, University of Connecticut

    Dr. Chelsea Hammond is an assistant clinical professor of marketing and program director of the online marketing analytics certificate. Prior to joining the Penn State Smeal College of Business, she spent more than a decade in the market research and marketing analytics industry, where she helped the world's most iconic and well-known brands leverage data to drive business success.

  • Ashkan Negahban

    • Ph.D., Industrial and Systems Engineering, Auburn University
    • M.E., Industrial and Systems Engineering, Auburn University
    • B.S., Industrial and Systems Engineering, University of Tehran

    Dr. Ashkan Negahban is an associate professor of engineering management. Prior to joining Penn State, he was an instructor at Auburn University, where he taught courses in simulation, probability theory, and statistics. His research interests include the application of different types of simulation (discrete event, agent-based, and Monte Carlo) in design and operation of complex systems. He has developed several e-learning modules that have received worldwide publicity and are used by faculty from leading institutions around the world.

  • Colin Neill

    • Ph.D., Software and Systems Engineering, University of Wales Swansea
    • M.Sc., Communications Systems, University of Wales Swansea
    • B.Eng., Electrical Engineering, University of Wales Swansea

    Dr. Colin Neill is a professor of software engineering and systems engineering. He teaches many courses in software and systems engineering and project management. He is the author of more than 80 articles on the development and evolution of complex software and systems and their management and governance. Dr. Neill is a senior member of the IEEE and a member of INCOSE, and he serves as associate editor-in-chief of Innovations in Systems and Software Engineering.

  • J. Andrew Petersen

    • Ph.D., Business Administration (Marketing), University of Connecticut
    • B.A., Economics, University of North Carolina at Chapel Hill

    Dr. J. Andrew Petersen is an associate professor of marketing in the Smeal College of Business and program director of the online marketing analytics and insights master’s degree. His research interests include measuring and maximizing customer/donor lifetime value (CLV/DLV) and customer/donor equity, managing customer product return behavior, measuring the value of word-of-mouth, selling and sales management, and linking marketing metrics to financial performance. His research has been published in many top academic journals, including Journal of Marketing, Journal of Marketing Research, Harvard Business Review, MIT Sloan Management Review, and The Wall Street Journal.

  • Robin G. Qiu

    • Ph.D., Industrial Engineering, Penn State
    • Ph.D., (Minor), Computer Science, Penn State
    • M.S., Numerical Control, Beijing Institute of Technology, China
    • B.S., Mechanical Engineering, Beijing Institute of Technology, China

    Dr. Robin G. Qiu is a professor of information science at Penn State. He teaches courses on data analytics, information science, software engineering, and cyber security. Dr. Qiu's research includes smart service systems, IoT, big data, data/business analytics, information systems and integration, supply chain and industrial systems, and analytics. He served as the editor-in-chief of INFORMS Service Science. He is an associate editor of IEEE Transactions on Systems, Man, and Cybernetics and IEEE Transactions on Industrial Informatics, and has more than 160 publications.

  • Raghvinder S. Sangwan

    • Ph.D., Computer and Information Sciences, Temple University
    • M.S., Computer Science, West Chester University
    • B.S., Genetics and Plant Breeding, Haryana Agricultural University

    Dr. Raghvinder S. Sangwan is a professor of software engineering with expertise in the analysis, design, and development of large-scale, software-intensive systems and the use of AI engineering to design and develop intelligent systems that are safe, secure, and trustworthy. His research focuses on the improvement of these practices, and he has taught related courses to engineers and project managers at many prestigious academic, government, and industry organizations worldwide. Dr. Sangwan actively consults for Siemens Corporate Technology in Princeton, New Jersey, and holds a visiting scientist appointment at the Software Engineering Institute at Carnegie Mellon University in Pittsburgh, Pennsylvania. He is a distinguished contributor and senior member of IEEE and a senior member of ACM.

  • Satish Srinivasan

    • Ph.D., Information Technology, University of Nebraska at Omaha
    • M.S., Industrial Engineering and Management, Indian Institute of Technology, Kharagpur
    • B.S., Information Technology, Bharathidasan University

    Dr. Satish Srinivasan is an associate professor of information science in the engineering division at Penn State Great Valley. He teaches courses related to database design, data mining, data collection and cleaning, design and implementation of predictive analytics system, network and web securities, and business process management. His research interests include social network analysis, data mining, machine learning, big data and predictive analytics, and bioinformatics.

Ready to take the next step toward your Penn State master's degree?

Apply by November 15 to start January 13. How to Apply 

Explore Other Academic Programs

Business AnalyticsGraduate Certificate
Data Analytics Base ProgramMaster's Degree
Marketing AnalyticsGraduate Certificate
Data Analytics – Business Analytics OptionMaster's Degree
Data Analytics – Big Data Systems OptionMaster's Degree