| Program start date | Application deadline |
| 2024-01-08 | 2023-12-01 |
| 2024-08-19 | 2024-07-15 |
Program Overview
It combines statistical analysis, data mining, and programming to prepare students for careers in data-related fields such as data analyst, research scientist, and business analyst. The program emphasizes real-world applications and hands-on projects, and can be combined with another major or added as a minor.
Program Outline
It is an interdisciplinary program that opens doors to various career opportunities or allows students to pursue graduate studies in data science, computational science, business analytics, or healthcare analytics.
Objectives
The program aims to:
- equip students with the skills and knowledge to extract meaningful information from raw data
- provide a strong foundation in statistical analysis, data mining, data visualization, and programming languages
- enable students to make data-driven decisions and inform strategic initiatives
- prepare students for successful careers in various data-related fields
Program Description
This program features:
- an emphasis on real-world applications and hands-on projects
- a focus on preparing students for the challenges of data analysis in modern organizations
Careers:
Job Opportunities
The program prepares students for various data-related careers, including:
- Data Analyst
- Research Scientist
- Statistician
- Business Analyst
- Data Engineer
- Product Analyst
Other potential opportunities
- Graduate studies in data science, computational science, business analytics, or healthcare analytics
- Entry into a growing field with increasing demand for data science expertise
Other:
Additional Information
The program requires a 2.50 or higher high school GPA for freshman applicants and a 2.0 or higher cumulative college GPA for transfer students. It offers excellent career opportunities and can serve as a stepping stone for further education.
