433 Statistics Degree Programs

Unleash the power of data and statistics to make the right decisions happen. We integrate statistical modeling and analysis with machine learning, data mining, and data management to give you unique skills.

The MSc in Computational Statistics and Machine Learning is designed to give students a strong foundation in data analysis, statistical modeling, and machine learning techniques. The program covers core topics such as probability theory, statistical …

The primary purpose of the MSc in Mathematical Statistics minor-dissertation with coursework is to provide students with specialized advanced education and training while meeting the requirements of a specific research component so that students can master the required experimental and technological skills and necessary fieldwork competencies such as innovation, decision-making, strategic thinking and organizational skills.

The amount of data collected in today's society is increasing explosively. It is a major challenge for companies and organisations to process all this material and draw relevant conclusions. In the Master's programme in Mathematical Statistics you learn how to analyse complex data. People with such knowledge are in great demand in the labour market, and forecasts show that the need is also growing in the future.

The study program Probability, Mathematical Statistics, and Econometrics provides to the students advanced knowledge in several branches of mathematics focused on random events and their analysis (probability theory, mathematical statistics, econometrics, optimization). It is characterized by a deep insight into these branches and focuses on their mutual connections. An advanced level of basic knowledge in these branches is reached by attending mandatory courses. In elective courses, students deepen their knowledge in more narrow areas, chosen namely with respect to the topic of their master thesis. Thanks to the seminars the students may be in touch with current problems of mathematical research. Mathematical disciplines covered by this study program are well-established with narrow connections to other parts of mathematics. The theory is based mostly on mathematical analysis (measure theory) and linear algebra, many methods exploit numerical mathematics. On the other hand, these parts of mathematics are influenced and inspired also by problems from probability and statistics. Mathematical methods for random phenomena is one the most widely used parts of mathematics both in research and in practice. Aims of the program include preparation for a Ph.D. study of probability, statistics, or related areas at the Charles university or at another university. Students encounter applications of mathematical theories, theorems, and methods for solving concrete problems. Their future employment is very diverse in academia, industry, financial institutions, medical and biological research, or in humanities.

This two-year master’s programme provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis, and data science, with a focus on applications in the life and behavioural sciences. How can we model the spread of a virus? How do global events affect people's wellbeing? How effective is a vaccine? What is the uncertainty of that estimate? These are pertinent questions in today's society that you can answer with statistics, but the applications are much broader than that: How does your phone recognize your face? How can an algorithm better diagnose cancer than a doctor? How can you draw conclusions from the expression of thousands of genes? A formal education in Statistics & Data Science will equip you with the skills to answer complicated questions like these, both in industry and academia.

CERGE-EI (Center for Economic Research and Graduate Education - Economics Institute) is a joint workplace of Charles University and the Economics Institute of the Czech Academy of Sciences.

This program offers a wide range of basic and more specialized courses in applied mathematics. This allows students to build a personalized curriculum adapted to their academic and professional projects and focus in the second year in the following areas: Statistics, Finance, and Actuarial science; Mathematical Modeling; Probability and Finance or Data Sciences.

The PhD program in "Mathematics, Computer Science, Statistics", based in Firenze, is managed by a Consortium among the University of Firenze, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi"-Rome (INdAM). This PhD program inherited the tradition of the pre-existing three separate PhD's in Mathematics, Computer Science, Statistics, and can rely upon the very many, and well established, scientific connections of the involved institutions with Universities and Research Centers in many Countries of the World. The relevant number of offered scholarships allows the achievement of a critical mass of PhD students and activities, which are fundamental for a doctorate with an interdisciplinary character.

In the Work-Integrated Master’s degree in Statistics at Aarhus University, you study part-time while working part-time in a company or organisation. This allows you to apply statistical methods, modelling, and data analysis directly to real-world challenges. After the 4-year programme, you graduate with both substantial work experience and a high-quality master’s degree.

The MSc in Survey Statistics and Data Analytics also provides students with practical knowledge that introduces them to the entire process of data analytics (project management, data collection, data visualization, and business communication). The programme is recommended for applicants seeking a complex programme that is flexible while providing a solid foundation in data analytics.

UC3M is the first Spanish university to offer a Degree in Statistics and Business, a modern and competitive degree that offers very attractive professional opportunities. This degree aims to train professionals with quantitative skills, capable of transforming data into useful information for decision-making in companies and institutions, in sectors such as finance, banking, insurance, or business consulting.

Random variables, independence, and conditional probability; discrete and continuous distributions, moments, and distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. Prerequisite: CME 100/ENGR154 or MATH 51 or 52.

The Master's Degree Program in Statistics and Information Management, with a specialization in Data Analytics, aims to train experts and managers qualified to lead and guide information collection, compilation, analysis, and management inside organizations.

“If you can’t measure it, you can’t change it.” Masterclass in Labour Statistics: From Standards to Data course enable us to monitor one of the most important aspects of our well-being: work. As we spend a large part of our lives at work and live on the earnings from it, governments must have access to timely and relevant data to inform accurate and sound policies.