Accountancy and Data Science
The Bachelor of Science in Accountancy and Data Science combines traditional accounting principles with advanced data analytics, equipping students with the skills to analyze financial information and make data-driven decisions. The program emphasizes analytical expertise and technical competence, preparing students to manage complex accounting systems, interpret financial data, and implement innovative solutions in diverse business environments. Students develop proficiency in financial reporting, auditing, taxation, and data analytics tools, learning to integrate accounting knowledge with statistical modeling, database management, and predictive analysis. Coursework blends accounting, information technology, and data science to produce graduates capable of leveraging data for effective financial decision-making.
Over four years, students engage in courses covering financial accounting, managerial accounting, data analytics, programming, and business intelligence. Hands-on experiences, including internships, data-driven projects, and case studies, provide opportunities to apply theoretical knowledge to real-world accounting and business scenarios. Students also explore big data applications, business analytics, and risk assessment, preparing them to address challenges in both accounting and data-intensive environments. By the final year, graduates demonstrate technical proficiency, analytical skills, and professional readiness, positioning them for careers in accounting, finance, business analytics, or advanced studies in data science and financial management.
Key information
Key Facts
- Program Title: Accountancy and Data Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: University of Illinois Urbana-Champaign, United States
- Field of Study: Accounting
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Accounting and Data Science
• Introduction to Financial Accounting
• Principles of Data Science and Analytics
• Academic Writing and Research Methods
• Fundamentals of Economics
Year 2 - Core Accounting and Analytics Skills
• Managerial Accounting and Cost Analysis
• Programming for Data Analysis
• Financial Reporting and Auditing
• Elective Modules in Accounting or Data Science
Year 3 - Applied Accounting and Data Analytics
• Business Intelligence and Data Visualization
• Taxation and Regulatory Compliance
• Internship in Accounting or Analytics Firms
• Elective Modules in Finance or Advanced Data Analytics
Year 4 - Capstone and Professional Integration
• Independent Accounting and Analytics Project
• Internship in Corporate Finance or Consulting
• Seminar in Contemporary Accounting and Analytics
• Advanced Topics in Accounting, Finance, and Data Science
Career Opportunities
Graduates of this program are prepared for careers in accounting, auditing, financial analysis, business analytics, and data-driven decision-making. Career paths include positions in accounting firms, financial institutions, corporate finance departments, consulting agencies, and data analytics companies, where professionals manage financial systems, analyze data, and provide strategic insights. Graduates may also pursue entrepreneurship, consultancy, or continue with advanced studies in accounting, finance, or data science. The program equips students with analytical expertise, technical proficiency, and professional competence, enabling them to excel in accounting and data-intensive business environments.
Why Choose This Program
This program is ideal for students passionate about accounting, data analysis, and technology, seeking to combine financial expertise with data-driven skills. Learners develop analytical competence, technical proficiency, problem-solving abilities, and professional readiness, enabling them to interpret complex financial data, implement innovative solutions, and support strategic business decisions. The four-year curriculum balances accounting theory, data science applications, practical training, and industry internships, providing a comprehensive foundation in modern accounting and analytics. By integrating accounting knowledge with data science tools, students gain the confidence and skills to pursue careers in accounting, financial analytics, business intelligence, or continue with advanced studies in data-driven finance, positioning themselves as versatile professionals capable of shaping the future of financial management.
Contact Information
For further information, please contact the graduate admissions office at:
Phone: 217-333-0035
Email: grad@illinois.edu
Address: The Graduate College, 507 East Green Street, Suite 101, MC-434, Champaign, IL 61820, United States
