Courses by Career
Courses and Career Opportunities
We prepare our graduates to translate the knowledge and skills they learned at Kellogg into successful careers in countless paths and industries. To that end, we've designed three categories of courses to help you customize your academic journey so you can reach your goals.
Must Take
Courses you must take to leverage big data and analytics in your chosen career path.
Must Consider
Courses that are an important, but not necessary, asset to many people in this chosen career path.
Also Consider
Courses for those who want to add depth and practical experience to their training.
Select an industry to learn more
Consulting, Internal Consulting & Strategy
Data analytics is playing an increasingly important role in consulting. Many blue-chip consulting firms have data scientists on staff to help their clients with analytics problems. This requires consultants to be deeply versed and trained in our discipline in order to advise clients where data analytics might contribute to solving business problems.
Must Take
Every consultant has to excel in both strategy and communications in order to leverage big data and analytics, which is why the following courses are essential:
This course focuses on how analytics, particularly regression methods and the use of experiments, inform strategy problems.
This course will teach you to communicate analytics findings in organizations where a significant number of managers lack strong analytics skills.
In addition, most consulting assignments involving big data and analytics will contain an IT component. As a result, future consultants should also take:
You will learn how information technology assets, organizational structures and IT decisions in a firm can enable or derail the widespread adoption and exploitation of analytics in organizations.
Must Consider
Depending on the focus of the consulting work you’re interested in, the following offerings are must-consider courses.
This course teaches the analytics you will need to leverage individual-level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
This course teaches the analytics behind pricing and retailing decisions and how to build a test and learn organization at the retail level.
This course provides an in-depth introduction to the emerging fields of social dynamics and network science and the analytics you will need to analyze all things social.
The course uses data analytics to solve problems in the management of people, focusing specifically on how such tools are used in the sports industry.
Also Consider
Those looking for real-life interactions with a firm on a data analytics project will benefit from taking a deeper dive into these courses:
The Analytical Consulting Lab provides real-world learning experiences for students to work with sponsoring companies on business questions that revolve around analytics. Students work in teams to answer current and important business questions using analytics tools learned in other Data Analytics courses.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
Brand Management, Retail & CPG
A deep understanding of "retail" and "social" are crucial for any career in brand management, retail or CPG. Build your academic journey by selecting from the following series of courses.
Must Take
This course teaches the analytics behind pricing and retailing decisions, as well as how to build a test and learn organization at the retail level.
Because much of retail now also has direct customer contact and a strong e-commerce presence, you should take:
This course teaches the analytics you will need to leverage individual-level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
Equally important is to understand social dynamics:
This course provides an in-depth introduction to the emerging fields of social dynamics and network science and the analytics you will need to analyze all things social.
Moreover, strong data analytics communication skills are crucial to preparing for this career track. As a result, students must take:
This course will teach you to communicate analytics findings in organizations where a significant number of managers lack strong analytics skills.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
Also Consider
If you would like a deeper dive into regression and experimentation because you want to know more about data analytics methods, you should also consider:
While this course focuses on strategy problems, it goes much deeper than other courses on regression and experimentation methods.
If you are passionate about helping implement data analytics in your organization, you might also consider:
This course teaches the technology overview and language to understand how data is generated and organized within your firm and what IT infrastructure and organizational choices are good at enabling the widespread adoption of analytics.
Finally, those looking for real-life interactions with a firm on a data analytics project will benefit from:
The Analytical Consulting Lab provides real-world learning experiences for students to work with sponsoring companies on business questions that revolve around analytics. Students work in teams to answer current and important business questions using analytics tools learned in other Data Analytics courses.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
The course uses data analytics to solve problems in the management of people, focusing specifically on how such tools are used in the sports industry.
Product Management, Tech Marketing, E-Commerce, Startups
These technology-heavy industries have extensive individual-level customer information. These industries rely on marketing analytics, which means most people will have high degrees of IT sophistication. We’ve selected this series of courses to help prepare you have a strong presence in these fields.
Must Take
This course teaches the analytics you will need to leverage individual level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
This course teaches the technology overview and language to understand how data is generated and organized within your firm and what IT infrastructure and organizational choices are good at enabling the widespread adoption of analytics.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
Using hands-on cases and applications this course shows how to use a critical set of machine learning decision tools to discover new competitive strategies, turn raw numbers into convincing stories, and make less biased judgments.
Must Consider
This course provides an in-depth introduction to the emerging fields of social dynamics and network science and the analytics you will need to analyze all things social.
This course teaches the analytics behind pricing and retailing decisions and how to build a test and learn organization at the retail level.
If you want to increase your knowledge because you will be working alongside data scientists, you must consider taking:
Here you will learn how to build analytics systems for large datasets with sophisticated algorithms, where spreadsheets fail.
Also Consider
If you would like a deeper dive into regression and experimentation and learn more about data analytics methods, you might also consider:
While this course focuses on strategy problems, it goes much deeper than other courses on regression and experimentation methods.
Finally, those looking for real-life interactions with a firm on a data analytics project will benefit from:
The Analytical Consulting Lab provides real-world learning experiences for students to work with sponsoring companies on business questions that revolve around analytics. Students work in teams to answer current and important business questions using analytics tools learned in other Data Analytics courses.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
General Management & Strategic Planning
The general-management perspective typically has a strong focus on strategy, operations and how technology can enable firm capabilities. The following courses will help you discover how to leverage big data and analytics while building the strong general management and strategy skills you need in business.
Must Take
This course focuses on how analytics, particularly regression methods and the use of experiments, inform strategy problems.
The implementation of managerial processes within a corporation crucially depends on efficiently and intuitively presenting information in a way that managers and employees can act on it.
- Technology in the Age of Analytics (KMCI 930-5)
This course teaches the technology overview and language to understand how data is generated and organized within your firm and what IT infrastructure and organizational choices are good at enabling the widespread adoption of analytics.
The course uses data analytics to solve problems in the management of people, focusing specifically on how such tools are used in the sports industry.
Must Consider
This course teaches the analytics behind pricing and retailing decisions and how to build a test and learn organization at the retail level.
If the firm you would like to work for has direct customer contact, strong e-commerce presence or controls its distribution channel, you must consider taking:
This course teaches the analytics you will need to leverage individual-level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
Also Consider
The Analytical Consulting Lab provides real-world learning experiences for students to work with sponsoring companies on business questions that revolve around analytics. Students work in teams to answer current and important business questions using analytics tools learned in other Data Analytics courses.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
Sales and Business Development
Careers in sales and business development typically have a strong “outbound” customer communications component. Jobs in these areas also rely heavily on social networks.
Must Take
This course teaches the analytics you will need to leverage individual-level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
This course provides an in-depth introduction to the emerging fields of social dynamics and network science and the analytics you will need to analyze all things social.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
Must Consider
This course teaches you the analytics behind pricing and retailing decisions.
Because sales and business development rely on persuasion, you must also consider taking:
This course will teach you to persuade using data visualization.
Also Consider
The Analytical Consulting Lab provides real-world learning experiences for students to work with sponsoring companies on business questions that revolve around analytics. Students work in teams to answer current and important business questions using analytics tools learned in other Data Analytics courses.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
The course uses data analytics to solve problems in the management of people, focusing specifically on how such tools are used in the sports industry.
Venture Finance, Private Equity & Portfolio Management
Finance is often thought of as the original "Big Data" business discipline because it relied on data analysis long before such areas as marketing, operations and strategy began incorporating analytics throughout their industries.
There are three important areas of finance that require the ability to assess the data analytics capabilities of other firms — venture finance, private equity and portfolio management. Many client-facing careers also benefit from an understanding of data and analytics in order to give a persuasive presentation of quantitative information.
Must Take Courses for Venture Finance and Private Equity
This course teaches the analytics you will need to leverage individual-level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
This course provides an in-depth introduction to the emerging fields of social dynamics and network science and the analytics you will need to analyze all things social.
This course teaches the analytics behind pricing and retailing decisions and how to build a test and learn organization at the retail level.
This course teaches the technology overview and language to understand how data is generated and organized within your firm and what IT infrastructure and organizational choices are good at enabling the widespread adoption of analytics.
Must Consider Course for Client-Facing Careers in Finance
This course will teach you how to communicate analytics findings to managers who lack strong analytics skills.
Also Consider Courses for Both Tracks
The course uses data analytics to solve problems in the management of people, focusing specifically on how such tools are used in the sports industry.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
Data Analytics Pathway
The Data Analytics Pathway is designed as a course guide for those who are considering a career in analytics. Graduates will come away with a core set of skills that allow them to combine a managerial perspective of the business problems with a fundamental understanding of analytics. This combination provides our graduates with a stark advantage above the typical manager. Your role may likely be to serve as a "translator" between operating-unit managers and data scientists, giving you a front-row seat in the analytics revolution.
Must Take
This course teaches analytics you will need to leverage individual-level customer data to make marketing, and in particular targeting, decisions that are customized to each customer.
This course provides you with an in-depth introduction to the emerging fields of social dynamics and network science and the analytics you need to analyze all things social.
This course teaches the analytics behind pricing and retailing decisions and how to build a test and learn organization at the retail level.
While this course focuses on strategy problems, it goes deeper than other courses on regression and experimentation methods.
These courses are particularly helpful if you are planning to work in corporate analytics, which tends to work across functional domains and business units. If your analytics career path is narrower, for example, only in marketing analytics, you may want to eliminate courses from the list that do not fit.
Must Consider
This course teaches the technology overview and language to understand how data is generated and organized within your firm and what IT infrastructure and organizational choices are good at enabling the widespread adoption of analytics.
Here you will learn how to build analytics systems for large datasets with sophisticated algorithms, where spreadsheets fail.
This course will teach you how to communicate analytics findings to managers who lack strong analytics skills.
The course uses data analytics to solve problems in the management of people, focusing specifically on how such tools are used in the sports industry.
This course uses quantitative tools to facilitate informed marketing decisions and to develop a strong conceptual and practical understanding of the empirical tools we use to make business decisions.
Also Consider
The Analytical Consulting Lab provides real-world learning experiences for students to work with sponsoring companies on business questions that revolve around analytics. Students work in teams to answer current and important business questions using analytics tools learned in other Data Analytics courses.
This course leverages existing data analytics skills to solve diverse real-world cases, while deepening the ability to select the appropriate method to solve problems and present results.
Executive Learning in Analytics
Are you a senior leader looking for more insight into data analytics? Our executive education programs can help you maximize your investment in big data.
Leading with Advanced Analytics and Artificial Intelligence
Gain a working knowledge of data science to spark innovation and enhance marketing.
Group & Custom Solutions
Address unique business needs with tailored faculty lectures, classroom opportunities and case studies.
