Overview
The MSc Data Science (Statistics) is a fully online master’s degree delivered through Coursera by the University of Leeds, a leading UK university ranked among the top 100 globally. It’s designed to equip you with advanced skills in data science and statistical analysis to solve real-world problems using modern techniques such as statistical computing, machine learning and data management. The programme combines 12 online courses with real-world projects and flexible study over approximately 24 months, allowing you to learn from anywhere while gaining a recognised UK master’s qualification.
Why Data Science (Statistics) at University of Leeds?
The University of Leeds is recognised as one of the leading institutions in the UK, consistently ranked among the top 100 universities globally. This prestigious programme is tailored to equip students with specialised skills in statistics, essential for navigating the burgeoning field of data science. The university boasts strong collaborations with the Leeds Institute for Data Analytics (LIDA) and the Alan Turing Institute, enhancing the learning experience with cutting-edge resources and industry insights. The curriculum is designed to provide a thorough understanding of statistical methods and their applications, ensuring graduates are well-prepared for the demands of the workforce.
Tuition Fee Breakdown
Currently, specific tuition fee information for the MSc in Data Science (Statistics) is not available. For detailed fee structures, including potential funding options, please visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The MSc in Data Science (Statistics) encompasses a well-rounded curriculum that includes core data science modules alongside specialised statistics courses. The following key areas are covered:
- Advanced Statistical Modelling
- Bayesian Statistics
- Statistical Computing
- Programming for Data Science
- Machine Learning Techniques
- Data Ethics and Management
- Real-World Data Projects
This structure ensures that students not only grasp theoretical concepts but also apply them to practical scenarios, enhancing their analytical capabilities.
Industry Demand
The demand for data science professionals, particularly those with a strong statistical background, is surging across various sectors, including healthcare, finance, business, and government. Graduates of this programme will find themselves well-positioned to meet the needs of industries that rely heavily on data-driven decision-making.
Guaranteed Work Experience
This programme includes project work that integrates real-world problems, allowing students to gain practical experience while studying. This hands-on approach is designed to enhance employability and readiness for the job market.
Careers with Data Science (Statistics)
Graduates from the MSc in Data Science (Statistics) will have a multitude of career opportunities available to them. Many alumni have secured positions in leading organisations across diverse industries. The skills acquired through this programme prepare graduates for roles such as:
- Data Analyst
- Statistician
- Data Scientist
- Quantitative Analyst
- Business Intelligence Analyst
- Research Scientist
The programme's emphasis on statistical methods and data analysis ensures that graduates are equipped to tackle complex challenges in a variety of professional environments.
Programme Structure
Structure:
- You'll study core material in data science and statistics before moving on to more advanced topics including linear modeling, Bayesian statistics and statistical computing.
- You’ll put the advanced theories you’re learning into practice by solving real-world problems with support from the Leeds Institute for Data Analytics and the School of Mathematics. The results of your work across courses and projects will include examples of data analysis that can be presented to potential employers, which will demonstrate that you have the skills for data-driven senior roles in business, government, and nonprofit sectors.
- From your time on the programme, you’ll understand how your data knowledge can be applied to current and future statistical challenges at local, national and international levels.
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
- Fully structured
- Proactive tutoring and support
- Online group works/assignments
Campus Location
- Leeds, United Kingdom
Disciplines
Mathematics Statistics Data Science & Big Data View 63 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
A 2:1 (hons) bachelor degree in a subject with substantial elements of mathematics and statistics.
A bachelor degree with a 2:2 (hons) in a subject with substantial elements of mathematics will be considered for candidates with at least three years’ relevant work experience with statistics.
All applicants will need to have GCSE English language at grade C or above, or an appropriate equivalent English language qualification.
We accept a range of international equivalent qualifications. For information, please contact our Enrolment Advisors at onlineadmissions@leeds.ac.uk.
Tuition Fees
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science (Statistics).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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