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FinTech and Big Data Analytics

The FinTech and Big Data Analytics Major (FBTA) is designed to meet an increasing need in the financial industry, as it rapidly embraces the use of cutting-edge technology for data collection, 分析, 和决策.

This major includes a much more rigorous curriculum in math and programming than the typical finance degree and concludes with a capstone finance class that applies these technical skills to address emerging real-world financial problems. The major combines coursework from multiple disciplines in addition to the traditional finance curriculum.

什么是金融科技?

FinTech is the integration of finance, 计算机科学 and computation modeling, and data analytics (CMDA) to solve very complex quantitative finance problems.   

The application of 计算机科学 and CMDA to finance has created efficiencies and streamlined financial processes throughout many industries around the globe.

The finance industry has rapidly evolved in embracing FinTech/Quantitative 金融 skill sets, and this major addresses' the need for personnel who are adeptly trained in finance, 计算机科学, 数学, 和统计数据.

学生知识成果

  • In-depth knowledge of finance and advanced analytical and 计算机科学 skills
  • Technical, highly specialized industry knowledge (STEM)

目标技能

  • 数学
  • 统计数据
  • 计算模型

例子的职业

  • 财务数据分析
  • 投资组合分析
  • 风险管理建模 & 分析
  • 结构产品建模 & 分析
  • 算法交易

全职工作

  • The first graduating classes of FinTech students have enjoyed a high percentage placement with the student finding employment in:
  • 咨询
  • 投资银行
  • 信用分析
  • 财务规划
  • 大公司
  • The salary range has been between $65,000-$100,000

实习职位

学生 in the FinTech option will typically find an externship the summer after their sophomore year, and an internship after their junior year. In many instances, the junior year internship will lead to a full-time placement.

当前的 students have been placed in a vast array of companies for their internships encompassing banking, 咨询, 政府, 投资, 财务规划, 和公司.

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