Mathematics: Emphasis in Data Science, B.A. or B.S.

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Mathematics Major Requirements

Students planning to major in mathematics may earn either a B.A. or B.S. degree. Ideally, mathematics majors should be prepared to enroll in MA 140 or a higher course during the first semester at Millikin. MA 098 , MA 109 , MA 110 , MA 112 , MA 113 , MA 115 , and MA 130 do not count toward a major or minor.

All majors are required to complete the common foundation courses. This foundation is comprised of the following five mathematics courses.

MA 140 - Calculus I Credit(s): 4
MA 208 - Discrete Mathematics Credit(s): 3
MA 240 - Calculus II Credit(s): 4
MA 303 - Linear Algebra Credit(s): 3
MA 304 - Probability Credit(s): 3

Foundation Course Requirements

The school may waive one or more of the foundation course requirements for students with advanced high school mathematics preparation. There are four options for students interested in a mathematics major.

Mathematics
Mathematics with emphasis in Actuarial Science. The actuarial science track is identified by the Society of Actuaries’ website as an advanced curriculum undergraduate actuarial science program (UCAP-AC). Additionally, some courses in this track have been approved by the Society of Actuaries to earn Validation by Educational Experience (VEE).
Mathematics with emphasis in Data Science
Mathematics with Secondary Education Certification. The secondary mathematics education program is an Illinois State Board of Education Approved Program for the Preparation of Educational Personnel in Illinois Institutions of Higher Education.

Below are the additional requirements for each of the four options.

Major in Mathematics with Emphasis in Data Science

Data scientists find and interpret rich data sources and are skilled in mathematics, statistics, and computer science. Students electing this option will take courses and do research in mathematics, computer science, and information systems. Working with large data sets, they will build mathematical models, use advanced statistical methods, and implement machine learning algorithms to classify and predict. In addition to the foundation requirements, students must take:

MA 230 - Regression Analysis and Time Series Credit(s): 3
MA 314 - Mathematical Statistics Credit(s): 3
MA 340 - Calculus III Credit(s): 4
MA 499 - Senior Seminar Credit(s): 3
IS 221 - Programming Fundamentals Credit(s): 3
IS 240 - Foundations of Information Systems Credit(s): 3
IS 321 - Systems Analysis and Design Credit(s): 3
IS 370 - Database Application Development Credit(s): 3
IS 470 - Business Intelligence and Big Data Credit(s): 3
CS 135 - Introduction to Computer Science Credit(s): 3
CS 235 - Introduction to Data Science Credit(s): 3
CS 308 - Theory of Computation Credit(s): 3
CS 337 - Algorithms and Data Structures Credit(s): 3
CS 342 - Artificial Intelligence Credit(s): 3

One course selected from:

AT 110 - Introduction to Digital Media Credit(s): 3
BU 230 - Business Conversations Credit(s): 3
CO 230 - Business Conversations Credit(s): 3
BU 250 - Written Business Communication Credit(s): 3
EN 210 - Professional and Technical Writing Credit(s): 3

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