Statistics, B.S. and Data Science and Analytics, M.S.
Bachelor of Science, Master of Science (B.S., M.S.)
Combined
Allendale • Face to face • 141 Credits
Combined
Allendale • Face to face • 141 Credits
Grand Valley's combined degree programs offer current qualified undergraduate students the opportunity to complete both an undergraduate and graduate degree, meeting their unique personal, academic, and career goals. Pursuing a combined degree program can reduce the cost and total time required to complete both a bachelor's and a master's degree.
Grand Valley offers a combined degree program in Statistics (B.S.) and Data Science and Analytics (M.S.), enabling qualified undergraduate students to complete both degrees in an accelerated timeframe. This program is designed to meet personal, academic, and career goals efficiently, reducing the overall cost and time required. Students begin their undergraduate studies at the Allendale Campus and transition to the Robert C. Pew Grand Rapids Campus for their graduate coursework
The curriculum includes a variety of courses that cover essential topics in statistics and data science. Students will study advanced statistical techniques, data analysis, and the use of prominent statistical software. These courses are designed to provide a strong foundation in both theoretical and applied aspects of the field
Data scientists are in high demand, which translates to higher starting salaries and exciting work environments. The program includes field experiences and collaborative assignments, supported by faculty with real-world experience and academic training. Additionally, the program emphasizes current data science techniques and software, preparing students to respond to emerging job markets and meet the growing national need for master's trained employees.
Students apply directly to the School of Computing for the combined B.S./M.S. program during their second academic year. Visit the online catalog for information about admission requirements for the combined bachelor of science in statistics and master of science in data science and analytics.
College of Computing
(616) 331-2060
[email protected]
gvsu.edu/computing
Program Director
Jonathan Leidig,
Ph.D.
(616) 331-2313
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 56,783.91 | 10% |
$ 71,611.79 | 25% |
$ 89,959.80 | 50% |
$115,633.25 | 75% |
$140,979.39 | 90% |
Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 61,931.38 | 10% |
$ 74,180.35 | 25% |
$105,280.48 | 50% |
$132,079.45 | 75% |
$165,777.28 | 90% |
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 56,783.91 | 10% |
$ 71,611.79 | 25% |
$ 89,959.80 | 50% |
$115,633.25 | 75% |
$140,979.39 | 90% |
Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 49,889.11 | 10% |
$ 86,009.08 | 25% |
$121,897.69 | 50% |
$135,290.86 | 75% |
$166,762.17 | 90% |