What kind of jobs use statistics

Mathematical statistician for the U. Census Bureau Work with data that determines everything from distribution of Congressional seats by state to how federal funds are allocated to local and state governments.

Statistician at a human rights organization Help promote human rights by estimating the number of refugees or casualties of war in specific conflicts, such as the civil war in Syria or the U. Animal health statistician Work with other scientists to protect and increase populations of endangered species at zoos, research institutes or nonprofits. Clinical trial statistician Help evaluate the safety and effectiveness of a new treatment intervention, and determine whether a new treatment intervention has the benefits that have been proposed.

Public health statistician for a major municipal health department Help prevent disease, prolong life, and promote health through policy and programs that are informed by statistical methods. Data analyst at an online retailer Build online models to predict customer shopping patterns and to create a personalized customer experience.

Machine learning developer for a cloud-computing company Create computer programs to develop models to find existing patterns in data, generating billions of predictions on the fly to improve efficiency in data centers. Data scientist for a software company Play a critical role in developing and testing software prior to its release and in subsequent performance updates. Staff engineer for an Internet search engine Work with complex data sets to predict and optimize Internet search results, advertisements and website analytics for end users.

Environmental Statistician Create methods of data collection and analysis to examine how animal and plant population growth impacts ecosystems. Data Analyst of Marine Life Work with data to understand how weather affects marine animal migration and how currents impact climate.

Biostatistician at NASA NASA biostatisticians help protect astronauts in space by analyzing the impact of space on the physical condition of humans and sustainability of life on other planets. Director of analytics for a professional sports team Use data to improve and forecast player performance and make stronger draft picks.

Econometrician at a multinational banking and financial services firm Use concepts from statistical science to perform economic forecasts and simulations that help banks understand their level of risk.

Industrial statistician for a global materials manufacturer Design physical and engineering experiments and assist in quality performance. Journalist and author Explain complicated statistical or scientific data in articles for the general public. The range of modelling techniques and problem solving skills I learned as a math student are important for what I do now.

I would encourage most anyone to engage with the mathematics community and work to develop themselves by studying mathematics. For me these days, math is like an old friend. I hope we can find some time to reconnect again in the future. The math I learned at UVic has helped me in more ways than I imagined.

I started at UVic in as an undergrad in Physics and Math, and at the time I might not have been sure why I was learning to perform trigonometric integrals, learn Fourier theory or solve partial differential equations PDEs. The material was interesting enough in its own right, and I made sure I internalised the reasoning behind what I was learning so I could see how it related to some of my other interests.

Near the end of undergrad I fell in love with the neuroscience, and my graduate school work at the University of California at Berkeley involved studying the way songbird brains can listen to birdsong particularly well.

A solid grounding in calculus of several variables let me describe the space of all possible zebra finch songs in a biologically relevant way, and helped me show how bird brains can encode the whole of the song by firing spikes in response to just the surprising parts.

Also, a thorough induction in Fourier theory allowed me to take to the task of analyzing birdsong in new ways, which was instrumental in my dissertation. After my Ph. I now work on computational diffractive optics at Rambus, where my UVic-aquired knowledge of PDEs and calculus is of foundational importance in my work designing tiny diffractive light sensors. I completed my B. It is a program that requires courses in a wide variety of disciplines, and provides not only a thorough grounding in theory, but also possesses a strong applied aspect that has proven to be invaluable at my current job.

I joined the International Department in the United States division immediately after graduation. My team monitors and forecasts the United States economy, with the ultimate goal of determining the implications for the Canadian economy. I am currently conducting research using big data in order to try to determine what is responsible for the declining labour-force participation rate of prime-age workers in the US essentially the fraction of the population who are between the ages of 25 and 54 and who are employed or actively seeking work divided by the total prime-age population.

I plan to go on to pursue a PhD in economics. One of the best aspects of the math program at UVic is that it is a small program, with lots of opportunities to get to know your professors and other students. My advice to incoming students is to realize that while it is an incredibly valuable and rewarding program, it is challenging at times, and not to let a bad grade derail your confidence. After receiving a B.

I was exposed to a highly cross disciplinary department including planetary scientists, astrobiologists, crytallographers, and field geologists. I observed that having taken many mathematics courses significantly affected applicants chance of acceptance in almost any physical science graduate program - there are very few graduate programs that will not gladly accept someone with a math minor.

In physical and engineering disciplines, people approach the problems from a very mathematical viewpoint and my math background allows me to communicate with professional colleagues from other disciplines. Options at postgraduate level include:. A PhD is essential for a career in academia. If you're considering a career as a pharmaceutical statistician, many employers will expect an MSc or PhD.

For a career in the financial sector, you'll usually need to study for professional qualifications. These are often achieved part time as part of your employment. For more information on further study and to find a course that interests you, see Masters degrees and search for postgraduate courses in statistics. The top five occupations for statistics graduates include finance and investment analysts and advisor, actuaries, business and related associate professionals, programmers and software development professionals and IT business analysts, architects and systems designers.

For a detailed breakdown of what statistics graduates are doing after graduation, see What do graduates do? Jobs and work experience Search graduate jobs Job profiles Work experience and internships Employer profiles What job would suit me?

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