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Wake Forest University’s BS in Decision Analytics is an interdisciplinary degree jointly offered by the School of Business and the Department of Statistical Sciences. The program prepares students for high-impact roles in business and government where advanced analytical, mathematical, and computational models are used for strategic decision-making.
The curriculum bridges business, statistics, mathematics, and computer science, equipping students with strong problem-solving and quantitative analysis skills. It is ideal for students seeking careers in data analytics, consulting, operations, and finance.
Course Overview:
Prerequisites for Admission (Typically Years 1 & 2):
Introductory Financial Accounting
Introduction to Economics
Calculus with Analytic Geometry II
Introduction to Regression and Data Science
Core Business & Analytics Courses
Introductory Management Accounting
Organizational Behavior
Principles of Marketing
Productions and Operations Management
Management Information Systems
Legal Environment of Business
Management Simulation
Principles of Finance
Core Quantitative & Analytics Courses
Seminar in Decision Analytics
A capstone seminar, team-taught by business and mathematics faculty, focused on real-world case studies and applications.
Linear Algebra I
Operations Research
Probability
Introduction to Statistical Learning
Electives (minimum 6 credits)
Choose from advanced business, computer science, economics, mathematics, or statistics courses (one must be 300-level or higher in math/statistics).
Recommended:
Introduction to Computer Science and Fundamentals of Computer Science
Multivariate Statistics
Seminar in Negotiations
Strategic Management
Capstone Seminar in Decision Analytics:
Team-taught, real-world applications of modeling and analytics
Internships:
Encouraged in sectors like finance, tech, and consulting
Professional development:
Access to career coaching, analytics competitions, and networking through the School of Business
Aligned with careers in analytics, consulting, finance, and tech
Excellent preparation for graduate study in Analytics, Statistics, Data Science, MBA, or PhD programs
Students gain quantitative, computational, and business strategy skills
Honors designation available for high-performing students
IELTS: 6.0, with no individual sub-score below 5.0AACSB-accreditedWake Forest offers both Early Decision and Early Action in addition to Regular Decision. Early Decision (I or II) is a binding agreement, whereas our Early Action program (for First-Generation students only) is non-binding. Most scholarships (including full-cost scholarships) do not require a separate merit-based scholarship application. Instead, students need only submit a complete Early Action, Early Decision, Early Decision II, or Regular Decision application by November 15. Finalists for scholarships that require more comprehensive interviews or auditions will be notified by the end of March.School Report, Counselor Recommendation, Final Report & 1 Teachers Evaluation RequiredAP and IB exam scores are not required as part of your application for admission. If you choose to submit your scores, they will be considered as supplemental information.Students that apply with their test scores considered, who are admitted and choose to enroll at Wake Forest, will be required to submit their official scores from the appropriate testing center for verification purposes, after enrollment but prior to matriculation. Applicants may, however, submit official score reports at any point in the admissions process.Common App personal essay requiredCollege question: 1 required, 2 optionalThis college does not use a writing supplement for any additional writing requirements.Business analystData analystOperations analystStrategy consultantFinancial analystProduct analystLogistics analystRisk analystData scientist
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Wake Forest University
