Master of Science
Data scientist is ranked the number one best job in America, according to Glassdoor’s 2019 jobs report. The Master of Science in Data Science degree prepares individuals to be the next generation of data scientists.
Graduates of the M.S. program are ready to enter industry or begin Ph.D.-level work in data science, making the program a perfect starting point for those interested in pursuing a Ph.D. in the field or furthering their career.
Quality Classroom Experiences
BGSU’s Master of Science in Data Science program is interdisciplinary. Students benefit by working with and learning from expert faculty representing three departments: Computer Science, Mathematics & Statistics, and Applied Statistics & Operations Research. BGSU provides an education that blends those three disciplines in a robust fashion, resulting in graduates that have a breadth and depth of knowledge in all three disciplines. Individuals in the M.S. program at BGSU learn to acquire, clean and organize structured and unstructured datasets and develop appropriate techniques to analyze structured, unstructured or dynamic datasets.
Stand Out in courses
- Artificial Intelligence Methods
- Database Management Systems
- Data Science Programming
- Probability Theory I
- Regression Analysis
- Time Series Analysis
- Data Mining
- Linear and Integer Programming
Interdisciplinary program blends computer science, mathematics and statistics.
The M.S. in Data Science program requires 30 credit hours. The courses in the program are evenly split between computer science, mathematical statistics, and applied statistics. The capstone experience is a project-oriented class in which students fully model and analyze a significant dataset. The courses in the program give ideal preparation for the Ph.D. program in Data Science, and simultaneously prepare graduates to work as data scientists in industry.
Graduates of the M.S. program will have developed the level of knowledge and skills necessary to enter industry or begin Ph.D.-level work in data science. They will be able to do data acquisition, data cleaning and transformation, analytics, prescribing actions and programming/automation.
Salary and Placement Information
Demand for data scientists has been increasing as more organizations and businesses recognize the importance of data collection and analysis. And while the supply of data scientists has been improving, the number of openings exceeds the number of people with the knowledge and skills to do the work. According to the 2019 Burtch Works Study, the median salary for an entry-level data scientist with a M.S. degree was $80,000. With more than 6,500 job openings (according to the 2019 Glassdoor jobs report), individuals with data science expertise are well-positioned for success in the job market.
Go Far in your career
- Data scientist
- Data analyst
- Data engineer
* Job placement and salary information was compiled by the Office of Academic Assessment through the Graduation Survey from AY2015-2018. The data are gathered around the time of Commencement and a follow-up survey six months post Commencement. For the salary question, data for programs with fewer than fifteen responses are not included. Salaries for those programs are from the National Association of Colleges and Employers Summer 2019 Survey. For questions regarding the data, contact firstname.lastname@example.org.