32 Online Statistics Degree Programs

The Master of Statistics and Data Science is also fully offered as a distance learning (DL) programme. Enrolling for the DL programme means that as a student, you will take the programme from a distance, i.e. from home, workplace or virtually any place with access to the internet. The DL programme can be followed full-time or part-time, allowing for a flexible and feasible combination of work and study.

The MSc Data Science (Statistics), delivered in collaboration with the School of Mathematics and the Leeds Institute for Data Analytics, is a flexible online masters degree designed to equip you with the knowledge and practical experience to work confidently with large and complex datasets.

The advanced certificate in applied statistics is designed for engineers, scientists, analysts, and other professionals who want a solid education in the statistical methods that are most closely related to their work.

The Master of Statistics and Data Sciences will help you develop a problem-solving attitude and teach you how to apply statistical methodology. You'll be trained intensively in both the theoretical and practical aspects of statistics and data science.

Gain extensive knowledge of probability and statistics. Combine this with pure mathematics or applied mathematics. This BSc (Honours) in Mathematics and Statistics degree will equip you with problem-solving and decision-making tools. You’ll experience using statistical software and practise conducting and communicating statistical investigations.

This is one of several subject combinations available in our BSc (Honours) Computing & IT and a second subject (Q67). Computing & IT studied with statistics can open career opportunities in various sectors. You’ll gain a good grounding in statistical methods, complementing the computing & IT skills you’ll develop. So if you enjoy computing & IT, and statistics, these qualifications could suit you well.

This is one of several subject combinations available in our Diploma of Higher Education in Computing & IT and a second subject (Q67). Diploma of Higher Education in Computing & IT and Statistics With this joint diploma, you can specialise in an area of computing and IT and combine it with statistics, dividing your time equally between subjects. With competence in statistics and computing skills, you’ll be equipped to work in organisations that base decisions on statistical analysis or seek to interpret “big data”.

“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.

This is one of several subject combinations available in our Certificate of Higher Education in Computing & IT and Statistics and a second subject (T13) – you’ll divide your time equally between the two subjects. You will be introduced to probability and the most common methods of statistical data analysis, and you will explore the profound technological, economic, political and ethical change driven by digital technologies.

Due to COVID-19, classroom courses during Fall 2021 will be offered in a live online format. We continue to offer self-paced online courses.

Apply the skills learned in statistical analysis to a variety of industries, including insurance, marketing, government, health care, and more.

Develops theoretical knowledge and computation skills required for an in-depth understanding of modern applied statistical methods. An ideal program for someone who wants to 'get under the hood' and really understand the tools they have used previously, and how this extends to more complex methods and models.

The Master 2 in Statistics and Econometrics is open to students who have already acquired a solid grounding in economics and mathematical statistics. The course's objective is to provide students with a solid culture in the major areas of applied statistics.

From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.