Academic Programs
There are various data science degree programs at MSU offer specialized education and training tailored to various aspects and applications of data science. While they may have distinct focuses and program structures, they are all part of a collaborative effort by MSU to support the interdisciplinary nature of data science and prepare students for successful careers in this rapidly evolving field.
Undergraduate programs
CSE Major in Undergraduate Computational Data Science
The CSE Undergraduate Computational Data Science program focuses on writing software to build advanced computational tools for data science, emphasizing algorithms, data structures, visualization, and learning from large datasets. Students in this program have access to a wide range of fundamental computer science courses, allowing them to tailor their degree to their unique interests and requirements while maintaining a strong programming foundation.
CMSE Major in Undergraduate Data Science
The CMSE Undergraduate Data Science program focuses on applying data science. Students use computational techniques, mathematical modeling, statistical thinking, data manipulation, and ethical considerations to solve problems in data science. Students of this program are encouraged to take a synergistic minor where data science can be applied. Example minors include students studying biology, physics, sports management, journalism, and actuarial science. Graduates of this program are equipped to pursue successful careers as applied data scientists, machine learning engineers, quantitative scientists, and specialists in their chosen fields.
CMSE Minor in Undergraduate Data Science
Like the CMSE Undergraduate Major program, The CMSE Minor allows students to focus even more on their chosen area for applying data science by picking their major area of study outside of data science and then taking some of the core data science courses as a minor.
Com Arts BS in Information Sciences
The Com Arts BS in Information Sciences program brings together perspectives from engineering, computer science, management, and social sciences. It goes beyond coding and emphasizes understanding user experience and the impact of technology on society. Students can choose from three paths: human-centered technology design, media and information management, or information and society. Graduates leave the program as interdisciplinary professionals proficient in human-centered design, information management, and data collection and analysis.
Graduate programs
Masters of Science in Data Science (MSDS)
The MSDS (Master of Science in Data Science) program is a collaborative effort among three departments: CMSE, CSE, and STT. It provides high-quality training in state-of-the-art data analysis and computational methods. The program emphasizes the implementation of existing methods and understanding of their underlying principles. Students are encouraged to develop novel methods tailored to new situations across various industries.
Many biologists with traditional undergraduate training have excellent laboratory skills. But in the modern age of Big Data, they increasingly find themselves needing computational skills with which to analyze huge data files in the graduate research laboratory. The CMSE Bioinformatics Program offers modular courses in basic computation and then transitions students so they can take advanced courses in the bioinformatics or computational area that matches their research needs.
Broad MS of Business Data Science and Analytics
At MSU, data science and business analytics graduate program focuses on business strategy, data tools and management, and experiential project consulting. Throughout the program, you’ll find experiential project management opportunities to use live data sets for analysis and application, hands-on work in descriptive, predictive and prescriptive analytics, and much more, so you may sharpen your problem-solving skills as you expand your business intelligence.
The MS in Industrial Mathematics program aims to produce versatile problem solvers for industry leadership roles. Students gain a solid foundation in mathematical and statistical tools, computer science principles, data analytics, and machine learning skills. The program emphasizes hands-on project development for real-world problems proposed by local companies, along with training in technical writing for industrial-standard project reports.
Sports Analytics Graduate Certificate
The Sports Analytics Graduate Certificate program is designed for individuals in management or coaching roles and those seeking to enter sports analytics. This program combines academic rigor, software development, and data management to train future leaders in sports analytics. Students benefit from faculty instruction, guest lectures from alumni and industry experts, and a student-focused approach that integrates risk management tools and project-based learning.