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Mathematics B.S. + Applied Data Science M.S.

Combine the fundamental with the cutting edge when you graduate with a Bachelor of Science in Mathematics and a Master of Science in Applied Data Science from IUPUI.

Mathematics fuels solutions in economics, science, engineering, physics, and business, relying on mathematical theory, computational techniques, algorithms, and the latest computer technology.

Data science and applied statistics make a mathematics degree even more marketable. Graduate with the skills to intelligently design methods of collecting and interpreting big data. Draw upon your analytical skills to become a leader in planning, strategy, or research across a breadth of industries.

The how

Earning two degrees through the Indiana University School of Informatics and Computing’s accelerated degree program saves you time and money.

In just five years, you’ll graduate with:

Do the math

Combining a master’s in Applied Data Science from SoIC with your bachelor’s in Mathematics just adds up:

  • Data science and machine learning: Many areas require an understanding of mathematical and statistical concepts, including work involving neural networks used in deep learning.
  • Technical skills: Learn to program and develop algorithms in Python, R, PHP, and JavaScript. Gain experience in data management, cloud computing, data engineering, data visualization, and research design.
  • Professional portfolio: An accelerated 5-year degree from SoIC lets you assemble an impressive body of work through projects, independent study, and extended mentorship.


More than $100,000 annually

Median salary for a data scientist, per O*NET


Graduating with math and data science skills positions you for higher-paying employment, with salaries for some positions reaching into six figures. This accelerated degree uniquely qualifies graduates for quantitative user experience research positions, at companies like Salesforce and Google.

Job titles include:

  • Advanced analytics analyst
  • Business intelligence solutions coordinator
  • Cloud data engineer
  • Data scientist
  • Enterprise data architect
  • Machine learning engineer
  • Systems software engineer–machine learning

Our graduates work for employers such as Cummins, Emory University, GlobalLogic, Kaleido Biosciences, Merck, Navient, OpsVeda, Publicis Sapient, and Sony Interactive Entertainment.

Plan of Study

(This example is for a Mathematics–Applied Statistics B.S. and an Applied Data Science M.S.)


Fall Semester Senior Year (13 credits)

  • STAT 51200 Applied Regression Analysis
  • MATH 42100 Linear Programming and
    Optimization Techniques
  • Secondary Area Elective
  • LIS-S 511 Database Design
  • General Elective

Spring Semester Senior Year (12 credits)

Summer Session (3 credits)

  • Approved elective

Fall Semester Fifth Year (9 credits)

Spring Semester Fifth Year (9 credits)


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