The Math Sciences program is designed to fulfill several objectives: to develop mathematical reasoning through problem solving; to investigate the mathematical theory which facilitates an understanding of mathematical applications; to provide background for careers in applied mathematics and computer science or teaching of secondary school mathematics; to prepare for graduate studies in the mathematical sciences. These are achieved, with departmental advisement, through the appropriate selection of electives.


Career Prospects


The Data Analytics option in Mathematical Sciences program will help prepare future Data Scientists to meet the demands of data driven industries, governmental agencies and labor market in financial sectors, health industry, social media and education. It provides a foundation for further graduate study and research.


Knowledge and Skills Students will Grasp during the Study


  • Learning the fundamentals of data analytics and the data science connections.
  • Developing competency in the R programming.
  • Learning how to collect the resources required for a data science project.
  • Applying predictive analytics techniques to use unstructured enterprise information and data to drive a better client experience and to leverage new data types: sentiment data, clickstream data, video, images and text data.
  • Using data mining practices and machine learning technology tools on data sets from a variety of domains, including the Web, social networks, media, and smart cities.
  • Applying visualization principles to clarify ideas, enhance understanding and help decision making.


Major (Core) Required Courses


Probability and Math Statistics

Big Data Computing

Applied Statistics

Foundations of Data Analysis

Big Data Visualization

Statistical Data Mining

Big Data Statistical Analysis

Big Data Techniques

Regression Analysis