Business Administration: Data Analytics Overview
Technological and cultural innovation over the past several years have led to an astronomical increase in data and our ability to utilize it as a more objective, decision-making tool in business.
Mercy University’s B.S. in Data Analytics provides students with the understanding and skills they need to compete in the 21st century’s data-driven business environment. Students will interact with faculty members actively working in the industry in order to develop applied skills in working with data to generate solid business insights and strategies.
It’s no surprise that technology has increased the velocity and volume of data humans are creating every second and the need to convert data into meaningful information only continues to grow in importance. Whether you’re interested in focusing specifically on analytics or not, you’ll likely be required to possess analytical skills across a number of job functions that previously haven’t focused on it.
Data Analysts are employed throughout companies and organizations for a multitude of specialized purposes (finance, marketing, accounting, HR, operations, supply chain management, etc.).
Data analysts are some of the most sought-after professionals in the business world today.
What is Data Analytics?
Data Analytics is the field of business focused on utilizing quantitative information (data) to make strategic business decisions. This is an important distinction between Data Sciences (Computer Sciences), which focuses on utilizing data to commoditize a process, create a product, etc.
At the end of this program, students should be able to:
Establish and utilize analytical frameworks for isolating insights from data
Orally and visually communicate complex quantitative data for informative purposes and persuasive purposes
Recognize ethical issues in data collection, manipulation and interpretation
Demonstrate an understanding of data modeling, predictive analytics and forecasting
Utilize various technological platforms (Excel, SQL, Tableau, R, etc.) in exploratory analytics
Demonstrate an understanding of how data is used and managed throughout an organization
Frequently Asked Questions
Full-time students can complete the 120-credit degree program in four years.
Data Analytics is an incredibly multi-faceted role and Data Analysts master a broad scope of skills such as Statistics, Graphic Design, Programming, Psychology, etc. The most common misconception about anything data is that it’s mostly about numbers or math. Data Analytics is also a highly creative field and analysts enjoy plenty of diversity in functions.
You may call the undergraduate School of Business office at 914-674-7479 to set up an appointment for advisement.
Yes, faculty are always ready to help students with questions about what courses to take, the sequencing of courses, and career opportunities, including internships and cooperative education.
Program Details & Curriculum
Bachelor of Science
General Liberal Arts and Sciences
General Education Requirements: 60 Credits
*ECON 125, ECON 220, ECON 221, and ECON 230, MATH 116 and MATH 131 / CISC 131 are Prerequisites for the major and must be used to fulfill general education requirements.
Core and Specialization
Business Administration Core: 30 Credits
Specialization: 18 Credits
Open Electives: 12 Credits
Total: 120 Credits
Download a copy of the sequence map for:
- 2022 - 2023 B.S. Business Administration: Data Analytics
- 2021 - 2022 B.S. Business Administration: Data Analytics
- 2021 - 2022 B.S./MBA Business Administration
- 2020 - 2021 B.S. Business Administration: Data Analytics
- 2020 - 2021 B.S./MBA Business Administration
- 2019 - 2020 B.S. Business Administration: Data Analytics
- 2019 - 2020 B.S./MBA Business Administration
- VIC 100