Jobs & Opportunities

Randomness is inherent in data coming from almost all real life fields: agricultural, industry, economics, medicine, psychology, marketing, insurance, computers, biology, sports, and others. Every statistical techniques study random data for a purpose by considering the most plausible probability model for them and learning from its pattern or variations.

Broadly, statistical methods have come into existence in three major areas, namely, Survey Sampling and Inference, Design of Experiments and its Analysis and Statistical Modeling and Inference. Sampling techniques are employed to draw inference about populations based on small or large samples. Design of experiments consists of planning of agricultural, industrial, psychological, clinical experiments for determination of optimum treatments for the experimental units from a small or large set of treatments. Observational studies which may be retrospective, multivariate, time-related, require simpler to rigorous modeling of data which are often correlated and cross-correlated and bring forth distinctive facts in them.
Today, Statisticians are in demand for the development of products and quality, be it for automobiles, pharmaceuticals, computer software, or insurance. Apart from development, statisticians are involved with the manufacturing, stock market, asset, liability and risk management. Most government organizations and agencies appoint statisticians to evaluate population, demographic, and socio-economic measurements. Many other environmental, scientific, and agricultural agencies also hire master’s in statistics candidates for similar types of work in their respective fields. Even national defense organizations employ statisticians to assess weapons and strategy effectiveness.

Different job titles exist for different statistical specializations. Biostatisticians and data analyst are two examples of job titles within the health industry and market industry. Econometricians work in areas involving economic research and data. Data scientists deal with small to big data for data mining to analysis.

CAREER TRAINING AND JOB QUALIFICATIONS 

Most statistical jobs require at least a master’s degree in Statistics / Applied Statistics with first class, and for senior posts expect Ph.D. in the same field. Managerial-level jobs in research and industrial organizations require many years of statistical practice experience or engineering plus statistical practice experience. Nowadays, masters in Statistics candidate with IT skills have an upper hand in Data Scientists and related jobs.

Around 140 schools of higher learning offer master’s degrees in Statistics, around 40 schools offer master’s degree in Applied Statistics, while around 90 offer doctoral degrees. This department offer Master’s and doctorate’s in Statistics as well as Applied Statistics, and moreover, master’s in Quality and Productivity Management (QPM).

OPPORTUNITIES FOR STATISTICIANS 

World is in data and information age. Right data collection and precise data analysis abilities are the keys to high profile jobs in any field, and to become entrepreneurs. Implementation of Six Sigma, Machine Learning comes handy for those having mastered statistical techniques, and they get jobs such as Quality Head, Asset Manager, Data Analyst, and Business Analyst and so on.