BS in Finance + Data Science

4 Years On Campus Bachelors Program

University of Illinois Urbana Champaign

Program Overview

The BS Finance + Data Science program at the University of Illinois Urbana-Champaign is designed for students who are passionate about the intersection of finance and technology. This innovative program equips students with the analytical skills and financial knowledge necessary to thrive in today’s data-driven economy.

 

Curriculum Structure:

In the first year, students will build a solid foundation in both finance and data science. Core courses such as "Introduction to Financial Accounting" and "Introduction to Data Science" will introduce essential concepts, while "Business Statistics" will enhance their analytical skills, preparing them for more advanced topics in subsequent years.

During the second year, students delve deeper into finance and data analysis. Courses like "Corporate Finance" and "Data Management" will provide insights into financial decision-making and data handling techniques. Additionally, "Statistical Methods" will further develop their quantitative skills, enabling them to analyze complex datasets effectively.

In the third year, students will focus on specialized topics that bridge finance and data science. Courses such as "Investment Analysis" and "Machine Learning for Business" will allow students to apply their knowledge in real-world scenarios, enhancing their ability to make data-informed financial decisions. This year emphasizes practical applications, preparing students for internships and future careers.

In the final year, students will engage in capstone projects and advanced electives, such as "Financial Modeling" and "Big Data Analytics." These courses will challenge students to integrate their learning and tackle complex financial problems using data science techniques. By the end of the program, graduates will be well-prepared to enter the workforce with a robust skill set.

Focus Areas: Finance, Data Analysis, Investment Strategies, Machine Learning, Financial Modeling

Learning Outcomes: Proficiency in financial analysis, data management, statistical methods, and machine learning applications in finance.

Professional Alignment (Accreditation): The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring a high standard of education.

Reputation (Employability Rankings): The University of Illinois Urbana-Champaign consistently ranks among the top universities for employability, with strong placements in finance and tech sectors, as noted by QS World University Rankings.

 

Experiential Learning (Research, Projects, Internships etc.)

At the University of Illinois Urbana-Champaign, the BS in Finance + Data Science program is designed to equip students with practical skills that are essential in today’s data-driven financial landscape. Students engage in hands-on learning experiences that bridge theory and practice, utilizing state-of-the-art facilities and tools that enhance their educational journey. The program emphasizes experiential learning through various opportunities, including collaborative projects, internships, and access to advanced technology.

 

Here are some key aspects of experiential learning in the BS Finance + Data Science program:

- Data Analytics Lab: A dedicated space equipped with the latest software tools for data analysis, allowing students to work on real-world financial datasets.
- Group Projects: Collaborative assignments that encourage teamwork and problem-solving, simulating real-world finance and data science scenarios.
- Internship Opportunities: Strong connections with industry partners provide students with internship placements, giving them valuable work experience and networking opportunities.
- Field Trips: Visits to financial institutions and tech companies to gain insights into industry practices and trends.
- Research Laboratories: Access to research facilities where students can engage in projects that contribute to the field of finance and data science.
- Libraries and Resources: The university’s extensive library system offers a wealth of resources, including databases and journals specific to finance and data science.
- Institute for Data Science: A dedicated institute that fosters interdisciplinary research and collaboration, providing students with exposure to cutting-edge developments in the field.

  

Progression & Future Opportunities

The Bachelor of Science in Finance and Data Science at the University of Illinois Urbana-Champaign equips students with a unique blend of financial acumen and data analytical skills, making them highly sought after in today’s job market. Graduates typically find themselves in roles such as Financial Analyst, Data Scientist, Risk Manager, or Business Intelligence Analyst. The combination of finance and data science opens doors to diverse industries, ensuring a robust career trajectory.

 

Here’s how the University of Illinois supports your journey toward a successful career:

- Career Services: The university offers comprehensive career services, including resume workshops, interview preparation, and networking events tailored specifically for finance and data science students.
- Employment Statistics: Over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $70,000, depending on the role and industry.
- University–Industry Partnerships: The university has established partnerships with leading companies such as Deloitte, JPMorgan Chase, and Caterpillar, providing students with internship opportunities and real-world experience.
- Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that your degree holds significant value in the job market.
- Graduation Outcomes: Alumni have gone on to work at top firms and have reported high job satisfaction, often advancing to leadership positions within a few years of graduation.

Further Academic Progression: After completing the BS in Finance and Data Science, students have the option to pursue advanced degrees such as a Master of Science in Finance, a Master of Data Science, or even an MBA. These programs further enhance your expertise and can lead to even higher-level positions in finance and analytics. The university also offers various certificate programs that allow you to specialize in areas like financial technology or data analytics, keeping you competitive in a rapidly evolving job market.

 

Program Key Stats

$23426
$23426
$46498
$75
EA, ED1
Aug Intake : RD 5th Jan EA/ED 1st Nov


60%
No
Yes

Eligibility Criteria

AAA - A*A*A
3.8 - 4
40 - 42
90 - 95

1150 - 1350
31 - 32
6.5
90
Optional
No
Eligibility criteria

How US Universities Assess Applicants

Career Options

  • Financial Data Analyst
  • Quantitative Analyst
  • Financial Analyst
  • Data Scientist
  • Investment Analyst
  • Risk Analyst
  • Business Intelligence Analyst
  • Financial Engineer
  • Portfolio Analyst
  • Credit Risk Analyst
  • FinTech Analyst
  • Algorithmic Trading Analyst
Career options

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