Tax Analytics and Technology (Certificate)Apply Now
The Graduate Certificate in Tax Analytics and Technology is currently a two to three year online program that targets for enrollment MAC and MBA graduate students at NC State, graduate students at other universities and working professionals in the Research Triangle, national and global community. They will learn knowledge and skills to extract, manipulate, analyze, and summarize tax data to solve tax problems, identify opportunities for tax savings, and to effectively communicate actionable tax and business strategies to organizations.
Graduate students at NC State must be in good standing. Students not enrolled at NC State must have completed a baccalaureate degree and have either taken some introductory/intermediate accounting and tax courses or have work experience in these areas. All students must submit an application to the certificate program which will be reviewed and evaluated by the coordinator. A minimum GPA of 3.0 (in undergraduate and/or prior graduate work) is required for admission to the program.
The certificate program requires students to complete twelve (12) one-credit hour online courses with an overall 3.0 GPA in all courses. No transfer credits will be accepted in the program and it must be completed within four years.
|Select nine hours of coursework from the following:|
|Tools for Tax Analytics|
|Database Management in Tax|
|Forecasting Effective Tax Rates and Scenario Analysis - Introduction|
|Forecasting Effective Tax Rates and Scenario Analysis - Advanced Application|
|Project Management and Process Documentation in Tax|
|Visual Analytics in Tax|
|Database Management Applications in Tax|
|Advanced Visual Analytics in Tax|
|Data Security and Warehousing in Tax|
|Select three hours of coursework from the following:|
|Special Topics In Business Management (Forecasting and Scenario Planning Using Monte Carlo)|
|Special Topics In Business Management (Creating Management Dashboards Using Tableau)|
|Data-Driven Managerial Decisions 1|
|Data-Driven Managerial Decisions 2|
|Data Security and Privacy|
|Decision Making under Uncertainty|
|Predictive Analytics for Business and Big Data|