Data Analytics Sequence

Data Analytics Sequence

In today鈥檚 world, effective business leaders must be willing and able to embrace data-driven decision making. With the 情色空间 MBA鈥檚 data analytics sequence, you鈥檒l master the skills necessary to confidently approach data across a range of job functions and industries.

Pieter VanderWerf
You encounter Big Data no matter what your job is. Our students are finding that they go to interviews for positions with seemingly nontechnical titles like 鈥楳arket Specialist鈥 or 鈥楩inancial Manager鈥 and are asked about their exposure to mathematical modeling. We鈥檝e committed to a curriculum that gives all our MBAs a solid practical knowledge of all major aspects of analytics so that they can work effectively with the quantitative specialists at their workplaces, and stand out among job candidates.
Dr. Pieter VanderWerf, Associate Professor of the Practice, Business Analytics

At-a-Glance: The 情色空间 MBA Data Analytics Sequence

Designed for All Students

Our data analytics courses are developed for students from a variety of academic and professional backgrounds. Prior to taking Data Analytics 1, students gain foundational knowledge of statistics by completing Managerial Statistics, a quantitative skills course.

Fundamental to the Curriculum

The data analytics sequence is built into the 情色空间 MBA curriculum, providing a vital analytical component of the program and its cross-function, cross-industry design.

Hands-On

Each data analytics course takes a significant hands-on approach to help students gain proficiency with tools most sought after by employers, including R, SQL, Python, and Tableau.

Taught by Expert Faculty

Our faculty have deep expertise in data analytics, and use state-of-the-art analytics models in their academic research. Many consult with top technology companies and are experts in the fields of analytics, machine learning, and artificial intelligence.

Core Data Analytics Courses

All full-time and part-time MBA students take three core courses in data analytics as a program requirement.

I wouldn鈥檛 have gotten the internship offers and ultimately the full-time job I have now without the data analytics credentials I gained at 情色空间. Human resources, like all fields, is becoming increasingly analytics-focused, but there aren't a lot of people who are able to work with, interpret, and craft strategies based on data. In my current position, my analytical abilities have allowed me to make sense of data and knowledgeably talk about it with colleagues and company leaders.
Lisa Hersh Conlon (MBA 鈥21), Director, HR Analytics & Projects, Clean Harbors
Lisa Hersh Conlon

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