BS in Mathematical Sciences: Major in Mathematical Data Science
Program Overview
The BS in Mathematical Data Science at FIU equips students with expertise in mathematics, statistics, and computer programming to solve complex problems. Graduates develop skills in algorithmic development, Python, and R, preparing them for careers in Miami's technology hub. Core courses cover linear algebra, calculus, optimization theory, and statistical machine learning, while coursework in computer science supports a culminating project. Students benefit from industry connections through seminar speakers and faculty mentors.
Program Outline
Degree Overview:
The Department of Mathematics and Statistics at FIU offers a Bachelor of Science (BS) in Mathematical Sciences with a Major in Mathematical Data Science.
Objectives:
The program aims to equip students with the necessary skills in mathematics, statistics, and computer programming to solve complex problems in various fields like business, medicine, and sports management.
Program Description:
Mathematical Data Science is an interdisciplinary field that utilizes mathematics, statistics, and computer programming to solve intricate problems. Graduates with strong mathematical foundations are uniquely skilled to lead the development and application of new algorithms, generating data-driven discoveries and insights.
Careers:
Graduates of this program are expected to find robust career opportunities in the city of Miami, which is flourishing as a technology hub.
Other:
- Students in the program will undertake core courses in Linear Algebra, Calculus, Mathematical Statistics, Optimization Theory, and Statistical Machine Learning (24 credit hours).
- The program emphasizes algorithmic development and computer programming skills such as Python and R.
- Students complete required courses from the Computer Science department (16 credit hours) to gain the technical skills needed for a culminating Capstone project focused on a Data Science case study (3 credit hours).
- Students have the opportunity to network with industry speakers invited to the Department of Mathematics and Statistics seminar series.
- More information on course requirements can be found in the course catalog and flowchart.
It is one of the largest university campuses I have ever been to as I struggled to find the places that I needed to be multiple times. Food choices are great, library is phenomenal, and water fountains are very pleasing to sit by. SASC Building has very interesting architecture.
I went here for my undergrad back several years ago and came back for my graduates. This university is a blast of culture and learning. Most of the professors are amazing, there's clubs for everything, classes that range from odd to amazing and everything in between. They keep adding to MMC making new buildings, bringing in new vendors, and creating new art.
