Digital Operations

OPEN TO All STUDENTS 

Ideal for students interested in data analytics and Big Data, this course provides students with proper preparations for consulting and business decisions using statistical reasoning as well as real life case contexts and datasets.

OPEN TO ROSS STUDENTS

Machine Learning and Big Data are the growing standard in automation. This course teaches MBA students how to transform Big Data into manageable chunks that are able to be analyzed by ML platforms. Students will use data analysis platforms and programming languages like R to further decision making.

OPEN TO ROSS STUDENTS

Spreadsheets and hands-on analytics are incredibly valuable to students pursuing data management or understanding. This course is designed to give students case studies and projects to help improve their interpretation of models and simulations to make business decisions

OPEN TO ROSS STUDENTS

This course provides students with three main goals: developing the ability to identify key drivers in decisions and analytical models, learning complex tools to solve operational, and strategic business problems, and the ability to present analytical findings in a simplified way.

OPEN TO ROSS STUDENTS

This course gives MBA students a general overview of using statistical analysis with Excel. Using confidence intervals and hypothesis testing, students will make business decisions and apply data to formulate concepts and answers.

OPEN TO ALL STUDENTS

This course takes a deep dive into statistical analysis, using analysis of variance, covariance, and weighted least squares to understand the capabilities and limitations of statistics in business. Examples and exercises come from finance, accounting, economics, marketing, and more!

OPEN TO ROSS STUDENTS

This course teaches the basic tools in acquisition, management, and visualization of large data sets. Students will learn how to: store, manage, and query databases via SQL; quickly construct insightful visualizations of multi-attribute data using Tableau; use the Python programming language to manage data as well as connect to APIs to efficiently acquire public data.

OPEN TO ROSS STUDENTS 

Fundamental to all Ross BBAs, this course provides students with the ability to use statistics and analysis to make proper business decisions. Students use model-building and real data sets to provide communication about data and is essential for finance, marking, and strategy alike.

OPEN TO ROSS STUDENTS

Curious about how information in tech is streamlined so efficiently? Questioning how organizations and firms develop, acquire and implement information systems? This course provides students with the knowledge and applications to become proficient in understanding how information influences management and growth in the business world.

OPEN TO ALL STUDENTS

This course teaches students how to explore, analyze and visualize multi-dimensional datasets in a variety of business contexts, as well as how to communicate the findings. The course demonstrates best practices for data visualization, common mistakes and pitfalls that should be avoided, and teaches students how to ask the right questions that can lead to significant business insights.

OPEN TO ROSS STUDENTS

To help students succeed in this growing field, this course teaches advanced analytical, statistical and data mining tools with an applied focus. The main focus of this course is to prepare students to model and manage business decisions with data analytics and decision models using real life case contexts and datasets.

OPEN TO ROSS STUDENTS

This course will focus on providing students with an understanding of the underlying IT infrastructure including Enterprise Systems and RDBMS Systems – and how to acquire data from those systems for exploration, cleaning and analysis using tools such as SQL and APIs.

OPEN TO ROSS STUDENTS

Interested in using programming and software to visualize large sets of data? This class places students in teams to apply their knowledge of big data analysis to real world situations to give perspective into corporate data management.

OPEN TO ALL STUDENTS

Curious about how data across the internet can be used into powerful information that transforms company projections? This course is designed to give students insight into managerial decisions by using data reduction techniques like multivariate regression, factor analysis and more with statistical software.

OPEN TO ALL STUDENTS

This course deals with decision support using spreadsheets, including: what if analysis; financial, statistical and time/date functions; graphical presentation of data; organizing, sorting, querying and extracting information from spreadsheet and external databases and the World Wide Web; cross-tabulation of data; data tables; creation and management of scenarios; use of a solver to find optimal solutions to problems; the design to macros to support spreadsheet applications; and data maps.

OPEN TO ALL STUDENTS

This course deals with decision support using spreadsheets, including: what if analysis; financial, statistical and time/date functions; graphical presentation of data; organizing, sorting, querying and extracting information from spreadsheet and external databases and the World Wide Web; crosstabulation of data; data tables; creation and management of scenarios; use of a solver to find optimal solutions to problems; the design to macros to support spreadsheet applications; and data maps.

OPEN TO ROSS STUDENTS

Students learn analytical frameworks for identifying “differential treatment” and “disparate impact”, enabling them to analyze equity using real-world data from various contexts. In the classroom or via video, case protagonists and other industry experts will share their real-world experiences with documenting and addressing inequity.

OPEN TO ROSS STUDENTS

This course will provide an introduction to computer programming for business analytics applications using a suitable language like Python or R. The course will cover essential programming concepts such as object-oriented programming, control structures and functions with a focus on developing student skills for working with data.

OPEN TO ALL STUDENTS

You will have the opportunity to explore being a CEO, owner and/or entrepreneur of a high growth business. This course will focus on understanding the key success factors in leading high growth firms that are past the start-up phase – firms growing from approximately $10 million in revenues to over $50 million in a 3-5 year time frame.

OPEN TO ROSS STUDENTS

Interested in diving into the nature of competition and how firms succeed in a competitive environment? This course explores the the aspects of business innovation, characterizing social and technical architecture within the firm as two enablers to success in a emerging tech world.

OPEN TO ALL STUDENTS

This course discusses the stages in the new product development process and avenues for making the process more productive.

OPEN TO ROSS STUDENTS

This course teaches the basic tools in acquisition, management, and visualization of large data sets. Students will learn how to: store, manage, and query databases via SQL; quickly construct insightful visualizations of multi-attribute data using Tableau; use the Python programming language to manage data as well as connect to APIs to efficiently acquire public data.

OPEN TO ALL STUDENTS

This course, a continuation of TO 512, emphasizes problem solving using spreadsheet software. Extensive use is made of a spreadsheet solver (such as Solver in Excel) to formulate and solve practical optimization problems from such mathematical programming areas as linear, integer, and nonlinear programming, and multiple-objective decision making.

OPEN TO ALL STUDENTS

Ready to create your business centered around tech business models? This course gives students analysis on value chains for products to market, communication skills in innovation marketing, and improve sustainable models for modern day revenue stream tactics using tech.

Our members work collaboratively to build software programs imagined and engineered solely by its students. During weekly coding sessions, members operate in small groups where ideas can flow freely and contribute to a larger computer program being created by the club.

The educational technology collective is a group of students, staff, and faculty who explore the intersections of technology with teaching, learning, and education, with a particular focus on learning analytics, educational data mining, and collaborative engagement.

Enactus at the University of Michigan is dedicated to pursuing social change through free enterprise. We have worked on projects affecting social issues from food insecurity to financial literacy. We are looking for like-minded individuals who share our entrepreneurial spirit to make the world a better place. If that’s you, we hope you’ll apply!

Michigan Data Science Team ( MDST ) is open to all undergraduate students at the University of Michigan who are interested in learning about data science. MDST is dedicated to educating students about the practical applications of data science through team projects, coding workshops, and social events throughout the semester.

Michigan Sports Analytics society is open to undergraduate students interested in the intersection of technology and sport. Students focus on learning about the importance of data analytics within sports and how data is changing the future of competition.

Michigan Undergraduate Students of Statistics is a student-run organization sponsored by the Statistics Department.  The organization aims to provide academic and career resources for undergraduate students interested in the field of statistics and its many applications.