Civilizations have relied on the work of statisticians for thousands of years, dating as far back as the Ancient Egyptians, who employed statisticians to census cattle. Currently, we rely on statisticians to help us to better understand the world around us, viewing data as a puzzle that can be applied to various situation – from science, to public health, agriculture, marketing and more. Statisticians analyze and interpret data in order to draw conclusions, make predictions, tracks trends and provide information.
Want to predict the future? Economists analyze economic and statistical data in specific areas such as finance, labor or agriculture. They synthesize this data into reports that forecast market trends and explain economic phenomena. By applying mathematical models and statistical techniques, economists attempt to understand and predict our economic future.
From blue jeans to insulin, chemistry is responsible for many of history’s most important scientific breakthroughs. As the detectives of the chemistry field, analytical chemists identify substances and how they behave. Their work is used in many industries both in and outside the laboratory – you can find analytical chemists working in forensic labs identifying evidence, in environmental labs testing for toxins and pollutants or in the animal pharmaceutical field developing new drugs to improve our pets’ health.
Have you ever seen a map displaying where influenza outbreaks are located during flu season? That’s the work of a bioinformatics scientist! Complex scientific research yields vast amounts of valuable data – but how is all that data managed and shared? Bioinformatics scientists design computer tools and databases for processing and analyzing the resulting data to ensure that the information obtained is able to be interpreted and shared, paving the way for new discoveries across the globe.
Are you curious about the world around you and excel at solving problems using math and biology? You may have what it takes to be a biostatistician. A biostatistician is someone who uses mathematics and statistics to explore and solve problems in biology. They design experiments in the fields of agriculture, environment and human healthcare to solve problems that will make life better for us all.
Computational biologists use data and experimentation to construct models of complex biological systems and processes—all with the intent to make new discoveries about how living things function. These scientists identify and challenge assumptions, innovate and test solutions, changing the way we understand the world around us.
You’ve probably heard of virtual reality, but how about virtual chemistry? Computational chemists conduct research and experiments virtually, using computer simulations to build and study chemicals and their behavior. This allows scientists to perform experiments that would otherwise be too dangerous, impractical or expensive to conduct—making research more efficient and paving the way for new discoveries and innovations.
Data has an infinite power to shape and advance our world—but only when collected and analyzed to its fullest potential. Statistics is the science concerned with this challenge–developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Students who pursue this degree path will be prepared to make sense of complicated data, learning to think critically about the context in which it was collected to draw meaningful conclusions. Coursework will include statistical theory, statistical computation, data analysis and mathematics. Statistics is a highly interdisciplinary field; graduates can expect to find applicability in virtually all scientific fields, while research questions in the various scientific fields motivate the development of new statistical methods and theory.
Are you torn between pursuing a career in either math or science? You don’t have to choose— Biomathematics programs combine mathematics, biological science, chemistry and data science to equip graduates with analytical thinking skills and computational tools to solve real-world problems. Within this degree path, areas of research include bioinformatics, calculus, probability, chemistry, physics, biology, biostatistics and genetics.
No matter the field concentration, how do scientists pursue technological advancements and solutions to complex societal problems? Massive amounts of data. Data science is a multi-faceted field–deriving actionable insights from large data sets—progressing knowledge and various applications forward. Students pursuing this degree path will develop both mathematical and technological skills that allow for data analyzation and visualization in virtually any field.