Applied Mathematics (B.S.)/Data Science (M.A.S.)

Simultaneously earn a Bachelor of Science in Applied Mathematics degree while earning a Master of Data Science degree in as few as five years as you prepare for a career as a data scientist.

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The advantage of the Accelerated Master's Program at Illinois Tech is that it complements your training in applied mathematics with the data science expertise and workplace skills necessary for a successful career in one of the hottest fields. Prepare to work for a startup, a nonprofit, or a large corporation as a market analyst or industrial researcher. Learn to create enterprise data analytics systems or custom consulting reports while gaining the essential skills of deep technical understanding, good communication, and a firm grasp of today's business principles.

Illinois Tech’s Mies Campus is just minutes south of the Â鶹APP Loop, a global finance center where businesses rely on amassing data in finance, health care, retail, manufacturing, consumer services, tourism, professional sports, and cultural activities, offering internship and employment possibilities. Moreover, the city government allows and encourages access to its publicly available wealth of municipal data, offering unique research opportunities.

Program Overview

Learn to create enterprise data analytics systems or custom consulting reports while gaining the essential skills of deep technical understanding, good communication, and a firm grasp of today's business principles.

Career Opportunities

Combining a graduate degree in data science with a solid mathematics foundation opens a wide possibility of career opportunities, including:

  • Data analyst
  • Data engineer
  • Business analyst
  • Data and analytics manager
  • Business intelligence analyst
  • Data mining specialist
Disclaimer for prospective students, please read.
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Students in the Bachelor of Science in Applied Mathematics program may apply for admission to the Master of Data Science accelerated master's program after their second year, fourth semester, or 80 credit hours (including transfer credit) of undergraduate study.

An overall GPA of at least 3.0 and a GPA of at least 3.25 in math and computer science are required.