Analytics Minor (Manchester)

The demand for data-savvy individuals has never been higher, and the analytics minor gives you an introduction to the tools you’ll need for a career involving data science and analytics, focused on the application of data science in industry. In addition to courses in mathematics, computer science and analytics, you can study neural networks and big data. Combine this minor with a major in the sciences, computer science, business, marketing or social sciences to bring enhanced skills to your career or graduate studies. With the experience provided by this minor, you’ll gain a competitive advantage in this rapidly growing field. The objective of this minor is to provide a basic background in analytics for those interested in applications of data science.

For more information, contact Jeremiah Johnson, minor supervisor.

Students must complete five courses (20 credits) with a cumulative minimum grade point average of 2.0 and with no grade below a C- grade. Transfer course approval for the minor is limited to at most, two relevant courses successfully completed at another accredited institution, subject to syllabi review and approval. Some preparation in MATH 425 Calculus I and programming (COMP 424 Applied Computing 1: Foundations of Programming, CS 414 From Problems to Algorithms to Programs or CS 415 Introduction to Computer Science I) is required.


DATA 557Introduction to Data Science and Analytics4
COMP 525Data Structures Fundamentals4
COMP 570Statistics in Computing and Engineering4
MATH 539Introduction to Statistical Analysis4
Select one of the following:4
Predictive and Prescriptive Analytics I
Predictive and Prescriptive Analytics II
Neural Networks
Mining Massive Datasets
Total Credits20

See equivalent requirements for the minor if taken on the Durham campus