Darden | Mr. MBB Aspirant/Tech
GMAT 700, GPA 3.16
MIT Sloan | Mr. Marine Combat Arms Officer
GMAT 710, GPA 3.3
Tepper | Mr. Climb The Ladder
GRE 321, GPA 3.1
Harvard | Ms. Indian Non-Engineer
GMAT 740, GPA 9.05/10
Stanford GSB | Ms. Engineering To Finance
GRE 333, GPA 3.76
Stanford GSB | Ms. Anthropologist
GMAT 740, GPA 3.3
Wharton | Ms. Product Manager
GMAT 730, GPA 3.4
Kellogg | Mr. PM To Tech Co.
GMAT 720, GPA 3.2
UCLA Anderson | Ms. Tech In HR
GMAT 640, GPA 3.23
MIT Sloan | Mr. Electrical Agri-tech
GRE 324, GPA 4.0
MIT Sloan | Mr. Aker 22
GRE 332, GPA 3.4
Duke Fuqua | Ms. Consulting Research To Consultant
GMAT 710, GPA 4.0 (no GPA system, got first (highest) division )
Stanford GSB | Mr. Future Tech In Healthcare
GRE 313, GPA 2.0
Cornell Johnson | Ms. Environmental Sustainability
GMAT N/A, GPA 7.08
Harvard | Mr. Gay Singaporean Strategy Consultant
GMAT 730, GPA 3.3
Stanford GSB | Ms. Creative Data Scientist
GMAT 710, GPA 3.0
UCLA Anderson | Mr. Military To MGMNT Consulting
GMAT 740, GPA 3.7
MIT Sloan | Mr. Agri-Tech MBA
GRE 324, GPA 4.0
Wharton | Mr. Data Scientist
GMAT 740, GPA 7.76/10
Harvard | Ms. Nurturing Sustainable Growth
GRE 300, GPA 3.4
MIT Sloan | Ms. Senior PM Unicorn
GMAT 700, GPA 3.18
Harvard | Mr. Lieutenant To Consultant
GMAT 760, GPA 3.7
Stanford GSB | Mr. “GMAT” Grimly Miserable At Tests
GMAT TBD - Aug. 31, GPA 3.9
Yale | Mr. IB To Strategy
GRE 321, GPA 3.6
Harvard | Mr. Overrepresented MBB Consultant (2+2)
GMAT 760, GPA 3.95
Kellogg | Ms. Freelance Hustler
GRE 312, GPA 4
Kellogg | Ms. Gap Fixer
GMAT 740, GPA 3.02

Data Analytics At Gies

Data Analytics Student at Gies looking at charts on a large computer monitorEmployees who understand business analytics and can use that data to make informed, strategic decisions are in high demand.

Gies College of Business has always been a leader in providing students with a strong business analytics education that readies them to meet that demand. Gies continues to take the lead by expanding the curriculum to include additional data analytics courses that prepare students to become leaders in business.

Two separate analytics courses are part of the business core curriculum and are required for every undergraduate student. Business Analytics I introduces linear regressions, data visualization, data summarization, and much more. Business Analytics II helps students synthesize those concepts through hands-on application and project-based learning focused on data acquisition, organization, visualization, and more. That commitment to analytics extends to Gies’ master’s programs as well, with data analytics concentrations available in some programs.

Gies students gain more data analytics experience through the Margolis Market Information Lab, one of the most highly utilized university finance labs in the US. There, students have access to the same state-of-the-art finance and business tools that global firms use, giving them a distinct advantage as they pursue their careers.

Gies Business also home to the University of Illinois-Deloitte Foundation Center for Business Analytics. Powered by Gies faculty, the Center develops leading-edge data analytics teaching modules that can be used by any business school in the world. The College also searches for and recruits rising stars in the data analytics field who come to Gies to hone their skills and train the next generation of data-driven business leaders.

Read more about Gies on our Partner Publisher page.