Applied Analytics
Develop a solid foundation in integrating technology and analytical methods to acquire, analyze, and apply information for diverse projects with an Applied Analytics concentration.
![Bryant Professor Karen Prichard teaches in a classroom.](/sites/web/files/2022-10/data-science-course-of-study-college-of-business-applied-analytics-professor-prichard-1160x654.jpg)
At A Glance
What You'll Learn:
- Critically analyze problems in a variety of disciplines.
- Conceptualize, apply, and integrate effective strategies to acquire, store, analyze, and deploy information effectively.
What You’ll Do:
- Build advanced analytical models for relevant application.
- Complete a comprehensive real-world data project and present an analysis of the results.
Where You'll Go
- Data analyst positions in a variety of fields.
- Prestigious graduate schools to further your career preparation.
Program Level: Undergraduate
College/School: Interdisciplinary
Program Overview
The Applied Analytics program offers a cutting-edge and interdisciplinary approach to the rapidly evolving field of data analysis and business intelligence. Rooted in a combination of advanced analytics techniques, business acumen, and technological proficiency, this program prepares students to harness the power of data to drive strategic decision-making and innovation across various industries.
Hands-On Learning Opportunities
Beyond classroom instruction, the Applied Analytics program offers extensive hands-on learning opportunities to ensure students gain practical skills and real-world experience. State-of-the-art analytics software and tools are integrated into coursework, allowing students to work with real datasets and apply analytical techniques to solve complex business problems. Capstone projects, internships, and experiential learning opportunities enable students to collaborate with industry partners and gain valuable insights into the application of analytics in various organizational contexts.
Faculty Expertise and Mentorship
The program is led by a team of accomplished faculty members who are experts in data analytics, statistics, computer science, and business. Our faculty members bring industry experience and academic expertise to the classroom, providing students with practical insights and mentorship. With small class sizes and personalized attention, students have the opportunity to engage closely with faculty mentors, receive individualized feedback, and pursue research interests in specialized areas of analytics.