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The curriculum in industrial mathematics and statistics (IMS) provides students with the critical skills and knowledge needed to apply both statistics and mathematics to industrial and scientific problems. IMS is concerned with the mathematical, statistical,... Read more
The curriculum in industrial mathematics and statistics (IMS) provides students with the critical skills and knowledge needed to apply both statistics and mathematics to industrial and scientific problems. IMS is concerned with the mathematical, statistical, and computer modeling of various physical, biological, and social processes. Graduates will be trained to work in business, industry, and government, or they will be able to pursue a graduate degree in any of the mathematical sciences. Industrial mathematics and statistics is vital to our economic competitiveness and is critical to the development of our increasingly scientific/technological society. Industrial mathematics and statistics is built on a foundation of differential/integral calculus, differential equations, applied probability, and statistics. The mathematical tools encompass linear algebra, numerical analysis, continuous models rooted in differential equations, and discrete models linked to finite mathematical structures and Markov processes. Scientific computing extends the rudiments of programming into data visualization, the development of algorithms, and selected topics using high-level languages. Statistical topics especially relevant to industrial and scientific applications include design and analysis of experiments, statistical models, sequential analysis, reliability models, and time series analysis. These statistical methodologies are grounded in fundamental concepts of statistics and probability such as discrete and continuous probability distributions, stochastic processes, estimation and hypothesis testing, and exponential family models. Major Learning Goals Upon successful completion of the B.S. degree, Industrial Mathematics and Statistics majors will be able to: Demonstrate competence in one-variable calculus before proceeding to upper-level courses. Read and interpret mathematical/statistical industrial and scientific word problems. Demonstrate the ability to construct and understand mathematical/statistical models in science and engineering. Research an industrial or scientific problem by reading mathematical/statistical articles and texts. Develop a solution to the aforementioned industrial or scientific problem. Write and present an applied research report on the industrial or scientific problem. Careers Computer Science Economics Engineering Mathematics Technology Statistics Read less
Program overview
Main Subject
Mathematics
Degree
Other
Study Level
Undergraduate
The curriculum in industrial mathematics and statistics (IMS) provides students with the critical skills and knowledge needed to apply both statistics and mathematics to industrial and scientific problems. IMS is concerned with the mathematical, statistical,... Read more
The curriculum in industrial mathematics and statistics (IMS) provides students with the critical skills and knowledge needed to apply both statistics and mathematics to industrial and scientific problems. IMS is concerned with the mathematical, statistical, and computer modeling of various physical, biological, and social processes. Graduates will be trained to work in business, industry, and government, or they will be able to pursue a graduate degree in any of the mathematical sciences. Industrial mathematics and statistics is vital to our economic competitiveness and is critical to the development of our increasingly scientific/technological society. Industrial mathematics and statistics is built on a foundation of differential/integral calculus, differential equations, applied probability, and statistics. The mathematical tools encompass linear algebra, numerical analysis, continuous models rooted in differential equations, and discrete models linked to finite mathematical structures and Markov processes. Scientific computing extends the rudiments of programming into data visualization, the development of algorithms, and selected topics using high-level languages. Statistical topics especially relevant to industrial and scientific applications include design and analysis of experiments, statistical models, sequential analysis, reliability models, and time series analysis. These statistical methodologies are grounded in fundamental concepts of statistics and probability such as discrete and continuous probability distributions, stochastic processes, estimation and hypothesis testing, and exponential family models. Major Learning Goals Upon successful completion of the B.S. degree, Industrial Mathematics and Statistics majors will be able to: Demonstrate competence in one-variable calculus before proceeding to upper-level courses. Read and interpret mathematical/statistical industrial and scientific word problems. Demonstrate the ability to construct and understand mathematical/statistical models in science and engineering. Research an industrial or scientific problem by reading mathematical/statistical articles and texts. Develop a solution to the aforementioned industrial or scientific problem. Write and present an applied research report on the industrial or scientific problem. Careers Computer Science Economics Engineering Mathematics Technology Statistics Read less
Admission Requirements
61+
6+
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Bachelor of Science in Industrial Mathematics and Statistics
College of Business & Economics, PO BOX 6027, Morgantown, US, Morgantown, United States
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
Other
Study Level
Undergraduate
Read more
Program overview
Main Subject
Mathematics
Degree
Other
Study Level
Undergraduate
Read more
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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