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Marketing Analytics (M.S.)

Marketing expertise and high-level analytics skills. Put your career on the fast track with the nationally ranked M.S. in Marketing Analytics program at 杏吧原创 Tech.

Turn Data into Marketing Magic in 杏吧原创 Tech鈥檚 M.S. Marketing Analytics Program

Strategic marketing and analytics go hand鈥搃n hand to create value at all types of successful companies. In 杏吧原创 Tech鈥檚 M.S. in Marketing Analytics program, we focus on future-forward marketing practices and analytics methods and technologies, so you are ready to make your mark.

You鈥檒l be immersed in a curriculum ranging from marketing strategy and database design to predictive analytics, all taught in hands-on courses by highly respected faculty with industry experience. Graduate as a confident marketing analytics professional who can turn data into actionable insights that drive digital marketing campaigns with impact.

Program Overview

Whether you are launching your career, upskilling for career advancement, or planning a career shift, 杏吧原创 Tech鈥檚 industry-focused M.S. in Marketing Analytics degree can take you to the leading edge of a growing field. Build your analytics skills, such as modeling, optimization, and data mining, to inform managerial decision-making. Learn how to develop and implement integrated digital marketing campaigns. Prepare for careers in market research and management, social media marketing, product or brand management, and more. Flexibility for working professionals includes evening and Saturday courses, part-time or full-time enrollment, and our location in the heart of Chicago鈥檚 global business center. With 杏吧原创 Tech鈥檚 connections, you鈥檒l have access to opportunities for networking, internships, and jobs.

Career Opportunities

The master鈥檚 degree in marketing analytics at 杏吧原创 Tech prepares you to excel in a variety of jobs and career paths, such as:

  • Market research analyst
  • Marketing or advertising manager
  • Social media marketing specialist
Disclaimer for prospective students, please read.
The information provided is sourced from a third party, Lightcast, and is provided here for informational and educational purposes only. Please be advised that the inclusion of the Lightcast resource on this website does not imply endorsement by 杏吧原创 Institute of Technology ( 杏吧原创 Tech), nor is it a guarantee of the accuracy of this information. 杏吧原创 Tech makes no representation, warranty or guarantee, express or implied, that the information presented herein is reflective of the outcomes you can expect if you enroll in or graduate from an 杏吧原创 Tech program. 杏吧原创 Tech expressly disclaims any liability regarding Lightcast, or in connection with any actual or potential employment opportunity stemming from information on this site and you hereby irrevocably waive any claim(s) against the 杏吧原创 Tech for the same. Your use of this web page is an acknowledgement of your understanding and acceptance of the terms and conditions set forth herein. You are encouraged to conduct your own thorough research into job opportunities and outcomes in your field of study.

Check out some of the popular courses you'll take in our M.S. Marketing Analytics program.

MAX 501 Digital Marketing
This course provides a detailed understanding of all digital channels and platforms used by business-to-business and business-to-consumer brands. You鈥檒l gain comprehensive knowledge and experience in developing an integrated digital marketing strategy, from planning through implementation. In hands-on exercises and projects, you will use a variety of practical tools and techniques with digital channels to achieve your marketing goals.

MAX 522 Predictive Analytics
Companies capture and analyze large amounts of data about every aspect of their operations. In MAX 522, you鈥檒l learn how artificial intelligence and machine-learning techniques can be used to analyze data, with an emphasis on prediction. Whether it is predicting customer behavior or determining the optimal maintenance schedule to keep the production line humming, predictive analytics is the key to transforming data into actionable business information.

MAX 523 Social Media Marketing Analytics
An effective digital marketer is well-versed in data and is a data translator for a business. Analytics is the language used to optimize and connect results across all digital marketing tactics鈥攕earch, social media, email marketing, display ads, video ads, etc. This course focuses on digital marketing analytics strategies, platforms, preparation, and reporting鈥攖he technical and soft skills needed to become an effective digital marketer.

You must complete the , regardless of which graduate program you wish to pursue. Visit our admission website to learn more about what information and documents you need to apply.  

Please note that each college and individual programs may have additional requirements to apply. Please contact Director of Student Recruitment Claire Johnson with any questions.

Tuition and Fees

Learn more about the university鈥檚 general tuition and fees, visit the Student Accounting website.

Featured Faculty

Elizabeth J. Durango-Cohen
Assistant Director of Graduate Analytics Programs Assessment Director of the Center for Advancing Corporate Performance M. Zia Hassan Endowed Professorship Associate Professor of Operations Management
Dinakar Jayarajan
Director of Graduate Business Analytics Programs Clinical Associate Professor of Marketing
Ghazale Jafari Haddadian
Clinical Associate Professor of Operations and Energy Management
Ketan Patel
Adjunct Faculty
 杏吧原创 Tech alum Efe Uduigwomen (M.S. MANL 鈥23)

Efe U. Says...

鈥淥verall, my academic experience at Stuart was defined by a combination of challenging coursework and hands-on projects. This blend not only equipped me with the necessary skills and knowledge in marketing analytics but also prepared me for the practical challenges of the professional world.鈥

Efe Uduigwomen (M.S. MANL 鈥23), Senior Growth Marketing Associate, Remitly

Get In Touch

For any questions about Stuart School of Business degree programs or the application and enrollment process, contact our Director of Student Recruitment Claire Johnson.

 

Frequently Asked Questions

Q: Are evening or hybrid options available for working professionals? 
A: Master鈥檚 programs at 杏吧原创 Tech鈥檚 Stuart School of Business are designed for working professionals.

  • Enroll part-time or full-time
  • Typical degree completion time is two years part-time or 12鈥15 months full-time
  • Our in-person courses are held on weekday evenings (6鈥8 pm.) and Saturdays
  • Classes are held at our downtown Chicago campus, near Union Station, Ogilvie Transportation Center, and the CTA.

Q: Is the M.S. in Marketing Analytics program suitable for students without a business or analytics background? 
A: Yes. Students without business or analytics in their academic background are welcome to apply for the program. Very few courses in the program have prerequisites, and for those that do, the prerequisites are part of the program鈥檚 required curriculum.

Q: What can you find at the Career Management Center? 
A: The Stuart School of Business Career Management Center is dedicated to the professional and career development of undergraduate and graduate business students and Stuart alumni. Services include:

  • Individualized career counseling by CMC鈥檚 expert staff
  • Resume review and mock job interviews
  • Comprehensive resources to support career exploration and job search
  • Assistance in finding and applying for internships
  • An array of events for students to learn from and network with industry professionals, such as industry guest speakers, career pathway presentations, employer information sessions, and networking events
  • Career fairs and on-campus interviews with employers

Q: What types of analytics software will I learn? 
A: Courses in this program cover a variety of marketing analytics tools and software used by industry professionals, such as:

  • Excel for spreadsheet modeling
  • Solver for data management and optimization
  • @RISK for probabilistic simulation
  • R programming language for statistical computing, marketing engineering, and data visualization
  • SQL programming language and Microsoft Access for storing and processing information in relational databases
  • IBM/SPSS Modeler for data mining and predictive modeling
     

Courses typically include instruction in how to use a program and opportunities to apply it through hands-on exercises and projects with data sets.