Bachelor of Science in Applied Mathematics & Data Science
The Bachelor of Science (BS) in Applied Mathematics & Data Science at St. Thomas is designed to provide the student with a solid background and general comprehension of the role and application of mathematics in various disciplines and areas requiring quantitative analysis. The program is oriented toward applied mathematics, and students will be exposed to the concepts of higher mathematics with emphasis on the integration of theoretical, practical and computational viewpoints.
Applied mathematics deals with the use of mathematical concepts and techniques in various fields of science and engineering. Historically, mathematics was first applied with great success in astronomy and mechanics. Then it developed into a main tool of physics, other physical sciences, and engineering. It is now important in all over natural sciences, social sciences, computer sciences and even in financial fields. With the coming of age of the computer, applied mathematics has transcended its traditional style and now assumes an even greater importance and a new vitality. According to Bureau of Labor Statistics, employment of mathematicians is projected to grow 23 percent from 2012 to 2022, much faster than the average for all occupations.
Therefore, multidisciplinary/interdisciplinary training is essential, and the BS in Applied Mathematics & Data Science adheres to this concept. Currently, St. Thomas University is running various programs oriented toward applied mathematics with concentration in mathematical methods in data analytics, biomathematics, environmental mathematics, and applied physics aiming at enhancing skills in mathematical modeling, computer simulations and theoretical foundations of applied mathematics.
St. Thomas University also offers the MS degree in Big Data Analytics emphasizing on the use of Data Science for concrete scientific, technological and applied ventures. A good number of MS courses are open to BS program students, the BS in Applied Mathematics & Data Science at St Thomas will offer students a unique opportunity to grasp deeper understanding of theory and practice in the field, and to encounter the vital process of applied research. Through activities, such as a regular colloquium series and seminars, developed in close collaboration with other scientific programs within St. Thomas University, students are exposed to the latest innovations in the applied mathematics. The modest size of the program ensures active interaction with the faculty members.
The graduates will be able to find work in data analytics, quantitative fields, or continue their education in graduate school or professional tracks.
Curriculum (Course Sampling)
MAD 3300 Graph Theory and Networks
MAP 3181 Game Theory
MAD 4401 Numerical Analysis