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77 Online Master's degrees in Statistics
Exploring online Statistics programmes offers international students a flexible and accessible way to gain valuable skills and knowledge. The tuition fees for these programmes can vary widely. For instance, the lower-end tuition fee, represented by the €1,065, provides an affordable option for many students. On the other hand, the €35,653 represents the higher-end tuition fee, catering to those willing to invest more for their education. The typical tuition fee, indicated by the €17,626, offers a balanced option for students looking for a middle-ground solution. Additionally, the 8% highlights the proportion of programmes that are considered affordable, giving students a clearer picture of their options.

Clinical Trials (Distance Learning)
The Clinical Trials (Distance Learning) degree from London School of Hygiene and Tropical Medicine is designed to help you look at all the aspects that influence clinical trials in practice. You’ll get support in everything from reviewing the literature effectively to analysing statistics so you can feel confident making conclusions and reporting key findings.

Data Analytics for Government
Designed together with the Office for National Statistics, the Data Analytics for Government programme of the University of Glasgow is based on our successful online MSc programme in Data Analytics and will provide you with vital skills required to develop your modelling and data handling expertise.

Big Data (Online)
This Big Data (Online) MSc course from University of Stirling is a two year course designed to equip you with skills in big data technology, advanced analytics and industrial and scientific applications that will lead to a job in in the growing data science or analytics fields.

Master of Data Science
The Master of Data Science (M.D.S.) at Edith Cowan University provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science.

Data Science
Launch your career in data science with the MSc Data Science from the University of Essex Online. Designed for those without a computing background, this programme equips you with essential skills in data analysis, machine learning, and programming to thrive in the data-driven world.

Data Science
Enhance your data analysis skills with the PG Dip Data Science from the University of Essex Online. This programme offers a solid grounding in data wrangling, machine learning, and statistical methods, preparing you for advanced roles in data science.

Statistical Science (Distance Learning)
This Statistical Science (Distance Learning) MSc programme from the University of Nottingham is a part-time distance learning programme, offering you the flexibility to study your way. You will develop the advanced techniques and skills required to be a successful statistician in the 21st century.

Computer Science with Data Science
The MSc in Computer Science with Data Science from University of Wolverhampton has been designed and developed by a team of experts to develop agile, flexible and dynamic graduates with the right blend of computer science and data science training and management skills to meet the demands of industry across a wide range of sectors.

Applied Statistics in Finance (online)
This Applied Statistics in Finance (online) program from University of Strathclyde is a conversion course, designed for candidates from a broad background of disciplines.

Statistics and Data Science
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.

Statistical Science
For those seeking an analytical career, the Master of Science in Statistical Science blends advanced mathematics and applied statistics with modern quantitative and computational techniques.

Statistics
The Statistics degree delivered by California State University Fullerton offers a state-of-the art curriculum with the aim of serving the growing demand for professionals with knowledge and training in data science and quantitative analysis.

Applied Quantitative Methods and Social Analysis
The Master of Science in Applied Quantitative Methods and Social Analysis at Northeastern University is an interdisciplinary, flexible, and innovative degree that focuses on quantitative research methods for social analysis strategies and techniques.

Statistics and Data Science - Distance Learning
The Statistics and Data Science - Distance Learning at Hasselt University will be offered in parallel, synchronized as far as practically feasible, and with maximal flexibility. It will be possible to switch between the on-campus and off-campus programs.
Applied Economics
The Applied Economics programme at Western Michigan University is a 30-credit Master of Arts degree. Designed for flexibility, this public study mode course offers evening classes to suit working professionals. Students gain a robust foundation in economic theory and practical analysis over approximately 16 months.
Applied Statistics
The Applied Statistics program of Rochester Institute of Technology focuses on data mining, design of experiments, health care applications, and the application of statistics to imaging and industrial environments.
Statistics and Data Science MicroMaster
EdX is an online learning platform trusted by over 12 million users offering the Statistics and Data Science MicroMaster Program course in collaboration with Massachusetts Institute of Technology - MITx. Master the skills needed to solve complex data challenges.
Applied Statistics and Decision Analytics
The Master of Science in Applied Statistics and Decision Analytics at Western Illinois University is a multidisciplinary graduate degree program with a unique focus on applied statistics and decision analytics.
Statistics
The Statistics programme offered by the University of Nairobi is the application of advanced probability theory and the study of numeric data based on biological or social observation and phenomena.
Mathematics (Online)
Mathematics (Online) from Texas A&M University is designed for individuals interested in mathematics, with a particular desire to teach in K-12 and community colleges or in computational math.
Frequently Asked Questions
Admission requirements for an online master's in Statistics typically include a bachelor's degree in a related field such as mathematics, computer science, or engineering. Most programmes require a minimum GPA, often around 2.7 to 3.0 on a 4.0 scale. Additionally, applicants may need to submit standardised test scores like the GRE, though some institutions are moving towards test-optional policies. Strong analytical skills and a background in mathematics are crucial. Some programmes may also require letters of recommendation, a statement of purpose, and a resume detailing relevant work experience. It's important to check specific programme requirements as they can vary.
An online master's in Statistics is highly suitable for career advancement. With the increasing demand for data-driven decision-making across industries, professionals with advanced statistical skills are in high demand. Graduates can pursue roles such as data analysts, statisticians, and data scientists. The flexibility of online programmes allows working professionals to upskill without interrupting their careers. To explore more options, you can discover online master's degrees that fit your career goals.
Employers increasingly recognise the value of online master's degrees, including those in Statistics. Accreditation plays a significant role in employer acceptance; ensure the programme is accredited by a recognised body. Employers value the skills and knowledge gained, regardless of the delivery method. Highlighting practical projects, internships, and relevant coursework in your resume can further demonstrate your capabilities. For more information on accredited programmes, you can explore a masters degree in Statistics.
Studying Statistics online offers several benefits. Flexibility is a major advantage, allowing students to balance their studies with work or family commitments. Online programmes often provide access to the same resources and faculty as on-campus courses. Students can learn at their own pace and benefit from a diverse cohort of international peers. Additionally, online learning platforms offer tools for collaboration and interaction, enhancing the educational experience. The cost-effectiveness of online programmes can also make higher education more accessible.
Online Statistics programmes are highly interactive, utilising various tools and platforms to facilitate engagement. Common tools include video lectures, discussion forums, and real-time webinars. Many programmes incorporate group projects and peer reviews to encourage collaboration. Interactive simulations and statistical software are often used to provide hands-on experience. Faculty are typically available for virtual office hours and provide timely feedback on assignments. This level of interaction ensures that students remain engaged and can effectively apply their learning.
Online Statistics master's programmes offer a range of specialisations to cater to diverse career interests. Common specialisations include Data Science, Biostatistics, Machine Learning, and Applied Statistics. Each specialisation focuses on specific applications and methodologies within the field of Statistics. For instance, Data Science specialisations may cover big data analytics and predictive modelling, while Biostatistics focuses on statistical methods in healthcare and biological research. Choosing a specialisation allows students to tailor their education to their career aspirations and industry needs.