Financial Software Training

One of the unique aspects of the SMF program is the extent we utilize various software applications to advance our professional competencies. With the rise of artificial intelligence and data analytics, being proficient  with different software applications has become a must in the corporate world.

For example, I had an interview with three different people from the same company, and each of them emphasized that their company is seeking students who have had a significant amount of exposure to software applications other than Microsoft Excel. Luckily for me, my time in the SMF had provided me enough exposure to unique software applications that I could confidently bring up in the interview.

Two of the software applications that I have enjoyed learning and using the most are Statistical Analysis System (SAS) and the Bloomberg Terminal.

The Bloomberg Terminal is used extensively in investment management firms, in sales and trading and in financial markets. It provides access to more than 15,000 indices and 100+ metrics, coverage of 45,000+ companies in 108 countries, as well as 2,800 fundamental data items and financial ratios. Bloomberg news offers more than 5,000 original news stories each day from 30,000+ aggregated news sources with coverage from 146 bureaus in 72 countries.

At Fisher, we use the Terminal throughout the duration of the program to conduct research on investment funds, stock performance, bond prices and many more.

Bloomberg-Terminal

SAS is a widely used tool for data management and business analytics, including statistical and econometric analysis, and has strong capabilities with large data sets, such as those used in quantitative investments and risk management.

This program affords students the opportunity to develop coding skills in a relatively easy to understand environment. We use SAS in our Data Analysis class offered during the autumn semester, with the opportunity to dive deeper into the program by registering for the Financial Statement Analysis course offered during the spring semester.

SAS Log & Editor windows
SAS results window

In conclusion, with the trend toward heavy use of artificial intelligence, machine learning and data analytics, the Fisher SMF curriculum offers students ample exposure to some of the leading and most widely used software platforms, which allows students to be better prepared for post graduation roles.

Author: Tatenda Ushendibaba

Tatenda is a student in the SMF program at Fisher College of Business. He is pursuing corporate finance roles with the hope of further developing his knowledge in accounting and finance.