The most significant enabler of quality decision making is the careful management of digital resources. Useful information must be captured and organized in a way enabling managers to understand how much value is being added by the organization’s activities. Students graduating from the Information Management and Analytics track know how to organize digital resources, solve business problems, and develop cutting-edge technologies. Students are trained to solve deep problems using tools, methods, and techniques for addressing issues related to the adoption of new technologies in organizations. These technologies are used to get the right information to the right people at the right time.
After completing the Information Management and Analytics track, students find opportunities as consultants, business analysts, project managers, systems analysts, web developers, IT auditors, software developers, and many other rewarding careers. Recent Information Management and Analytics graduates have gotten jobs with Google, Facebook, Price Waterhouse Coopers, Accenture, Deloitte, KPMG, Hitachi Consulting, Ernst & Young, Rally Software, Conoco Phillips, Brocade, and other world-class employers.
Leeds Association for Information Systems
Students interested in finding more information about career opportunities available with the Information Management and Analytics track are encouraged to join the Leeds Association for Information Systems (LAIS). LAIS works closely with the faculty, corporate sponsors, and the Leeds School of Business. Find more information at the LAIS club page or at our Facebook group.
There are two required courses in the Information Management and Analytics track. All courses are for 3 credits unless indicated otherwise.
- BAIM 3205: Business Data Management
- BAIM 4065: Leadership in the Digital Age
In addition, students in the Information Management and Analytics track must complete four of the following courses:
- BAIM 3200: Business Analytics
- BAIM 3210: Business Application Programming
- BAIM 3220: Intro to Python Programming
- BAIM 4220: Business Technologies
- BAIM 4250: Information Security Management
Highly Recommended Business Electives
MGMT 4140: Project Management
Students inclined toward careers in technical information systems are encouraged to also take programming courses as non-business electives (CSCI 1300 Computer Science 1 or ATLS 1300 Code).
You can find academic policies for Leeds School of Business by visiting our Academic Advising academic requirements page.
You can find the most current Four-Year Plans that outline the required coursework for the Information Management and Analytics Track at the Leeds School of Business by visiting our Academic Advising Four-Year Plan's page.