Analyzing the Future: How Seton Hall Students Gain an Edge with Data Analytics

Joseph Salvador

Stillman New Editor

Seton Hall’s Data Analytics Minor is designed to equip students with skills in collecting, analyzing, visualizing, and interpreting large and complex data sets. This minor draws from mathematics, computer science, psychology, and other fields. The objective is to prepare students for roles in many industries such as business, finance, marketing, health care, and social sciences. Where data plays an essential role in decision-making. Students in the minor develop abilities not only in statistical analysis and data mining, but also in machine learning tools and data visualization, enabling them to communicate insights effectively.

The Data Analytics minor consists of 18 total credits, which include 15 credits of coursework and a 3-credit practical experience, such as an internship or project. Within the coursework, students are required to complete nine credits of core classes and six elective credits. The core courses provide a strong foundation in analytical skills and include Data Visualization (DASC 3000) and Data Mining (DASC 3010), both of which focus on developing the technical and interpretive abilities needed to work with and communicate complex data effectively.

This minor has several attractive features:

1. Data-Driven Journalism/Reporting
   Students with training in data analytics can uncover patterns, spot trends, and back up stories with quantitative evidence. Whether it’s business news, financial markets, or campus life, being able to work with data sets enhances credibility.
2. Visualization Skills
   Courses in visualization and cognition help students learn how to present data in clear, engaging ways—charts, dashboards, and infographics.
3. Employability & Internships
   Many organizations seek graduates who understand data analysis, machine learning, and visualization. The requirement for a practical experience helps in building a portfolio.
4. Online Options
   The minor can be completed fully online or in person, which provides flexibility to students who have scheduling, work, or distance constraints.

Considerations & Challenges

• Course load & prerequisites: Some of the required math, computing, and statistics courses may be challenging, especially for students who have not had strong preparation. It’s helpful to plan early.
• Balancing theory and application: While there are applied components (projects, internships), success in the more theoretical or mathematical courses (probability/statistics) is important to fully benefit.
• Competition & Resources: Because analytics is in demand, students should try to get involved early (through projects, clubs, labs) to stand out. Also, access to specialized software and tools matters—Seton Hall seems to be investing in that.

Conclusion

The Data Analytics Minor at Seton Hall offers a strong combination of theoretical background, technical skill, and practical experience. Whether you’re writing articles about market trends, analyzing financial data, or creating visual content to illustrate business stories, the skills from this minor can significantly enhance the quality of work.

Contact Joseph at Joseph.Salvador@student.shu.edu