Wednesday, January 23 @ 6.30 – KRAN G023
Paris, France & Amsterdam, Netherlands
|Program Dates:||May 10th - May 31, 2019 (The first two weeks will be spent in Paris. The last week will be in Amsterdam)|
|Faculty:||Prof. Matthew Lanham|
|Host:||Krannert School of Management|
The program is open to undergraduate students with a 2.5 gpa who have successfully completed MGMT 305 OR STAT 350,416,501,511
MGMT 473 Data Mining for 3 credits.
$4350 (airfare and personal spending not included)
Krannert students may apply for Krannert specific scholarships in addition to the Purdue Moves Scholarship. For more information click here!
Students will stay in shared student apartments in Paris and double occupancy hotel rooms in Amsterdam.
February 1, 2019. Krannert Scholarship deadline (students will be notified by mid-February of Scholarship standing)
|Deposit Deadline:||March 1, 2019. $500 non-refundable deposit|
|Apply:||To apply for this program, visit the Study Abroad website|
|Contact:||email@example.com for more information.|
Data Mining (MGMT 47300)
Data mining, business analytics, and data science are becoming increasingly valuable skills to have among new graduates as companies seek to fill their talent gap in transforming data into useful knowledge. Many multinational companies are now faced with additional legal constraints in how they collect, store, and analyze data strategically (e.g. Europe's General Data Protection Regulation (GDPR)). This international experience will allow you to gain perspective on business analytics and data science at the global level.
During the first two weeks of this course in Paris, France, you will learn popular machine learning methods and software tools to turn data into action, while following a structured process focused on supporting the business problem at hand. Your last week in Amsterdam, Netherlands you will work on a problem provided by a company located there. You will form teams and use the knowledge you have learned to develop and present a solution to the company at the end of the program. The winning team will be provided an award.
Krannert Faculty Bio
Clinical Associate Professor