UNIVERSITY OF NOTTINGHAM · UNITED KINGDOM
Statistical Science (Distance Learning) MSc
Master's · Taught in en
At a glance
24 mo
Duration
—
IELTS
€15k
Tuition / yr
en
Language
Master's
Level
- Top 100University in the world (QS World University Rankings 2026)
- Top 25for Mathematics in the UK (Complete University Guide Subject Rankings 2026)
- 97%of research rated world-leading or internationally excellent (REF 2021)
- 24 monthsPart-time duration
- Distance LearningFlexible study mode
- Hands-on experience with RPractical software skills
The Statistical Science MSc is a part-time, distance learning program designed to equip you with advanced techniques and skills for a career in statistics. In an era of increasing data generation, this program addresses the global demand for analysts who can interpret complex datasets using modern statistical methods. You will learn to progress from data exploration to analysis and presentation of findings, developing essential statistical knowledge, analytical and computational expertise, and interpretive and communication skills. The flexible online format allows you to study around your commitments, with teaching delivered through lecture notes, recorded sessions, videos, and practical computer exercises. Live online sessions are provided for support and Q&A. The curriculum covers core statistical concepts like inference and modeling, progressing to advanced topics in machine learning, multivariate statistics, and time series analysis, culminating in a dissertation. This MSc is ideal for those seeking to formalize and enhance their existing knowledge in statistics-related roles. All modules are also available as standalone units for professional development. You will gain hands-on experience with statistical software such as R and benefit from the expertise of leading academics and researchers in the field. The University of Nottingham is recognized for its research excellence, with 97% of its research outputs rated as 'world-leading' or 'internationally excellent' in the 2021 Research Excellence Framework, and the School of Mathematical Sciences ranked among the top in the UK.
Curriculum
The program spans two years, with the first year focusing on core modules and the second year on advanced topics and a dissertation.
- Year 1
- Foundations of Statistics
- Frequentist Statistical Inference
- Statistical Modelling of Discrete and Survival Data
- Bayesian Data Analysis: Theory, Applications and Computational Methods
- Year 2
- Statistical Machine Learning
- Multivariate and Time Series Analysis
- Statistics Dissertation
Careers
Graduates will be well-prepared for a variety of roles in fields requiring statistical expertise. The skills developed are transferable and in high demand across numerous industries.
- Statistician
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Quantitative Analyst
Frequently asked questions
- What are the entry requirements for the Statistical Science MSc (Distance Learning)?
- You need an undergraduate degree with a high 2:2 classification (an average of 55% or its international equivalent).
- How much does the Statistical Science MSc (Distance Learning) cost?
- The tuition fee for the 2026/27 academic year is £13,000 per year for all students.
- How long does the Statistical Science MSc (Distance Learning) program take to complete?
- The program has a part-time duration of 24 months, with the first year focusing on core modules and the second year on advanced topics and a dissertation.
- What statistical software will I learn?
- You will gain hands-on experience with statistical software such as R.
- What are the career prospects after completing this MSc?
- Graduates are prepared for roles such as Statistician, Data Analyst, Data Scientist, Machine Learning Engineer, and Quantitative Analyst.
- How do I apply for the Statistical Science MSc (Distance Learning)?
- Applications are made directly to the University of Nottingham through their postgraduate application portal. You will need to submit academic transcripts, degree certificates, and proof of English language proficiency if applicable.
Entry requirements
Undergraduate DegreeA high 2:2 (average of 55% or international equivalent)
Fees
Tuition (international)£13,000 per year
Tuition (home)£13,000 per year
Living—
Fees are listed for the 2026/27 academic year.
How to apply
1. Check Entry RequirementsEnsure you meet the academic and any other prerequisites for the MSc program.
2. Prepare Application DocumentsGather all necessary documents, which typically include academic transcripts, degree certificates, and proof of English language proficiency if applicable.
3. Submit ApplicationComplete the online application form on the University of Nottingham's postgraduate application portal.
4. Await DecisionThe admissions team will review your application. You may be asked for further information or an interview.
5. Accept OfferIf successful, you will receive an offer. Follow the instructions to accept your place and arrange payment of fees.
Frequently asked questions
What are the entry requirements for the Statistical Science MSc (Distance Learning)?
+
You need an undergraduate degree with a high 2:2 classification (an average of 55% or its international equivalent).
How much does the Statistical Science MSc (Distance Learning) cost?
+
The tuition fee for the 2026/27 academic year is £13,000 per year for all students.
How long does the Statistical Science MSc (Distance Learning) program take to complete?
+
The program has a part-time duration of 24 months, with the first year focusing on core modules and the second year on advanced topics and a dissertation.
What statistical software will I learn?
+
You will gain hands-on experience with statistical software such as R.
What are the career prospects after completing this MSc?
+
Graduates are prepared for roles such as Statistician, Data Analyst, Data Scientist, Machine Learning Engineer, and Quantitative Analyst.
How do I apply for the Statistical Science MSc (Distance Learning)?
+
Applications are made directly to the University of Nottingham through their postgraduate application portal. You will need to submit academic transcripts, degree certificates, and proof of English language proficiency if applicable.