MSc Civil Engineering and Management
The MSc Civil Engineering and Management program at the University of Nottingham aim to...
University Park Campus
INTAKE: September
The MSc Statistics program offered by the University of Nottingham is tailored for individuals with a passion for data analysis, quantitative research, and statistical modeling. This program focuses on imparting in-depth knowledge and practical skills necessary to handle complex data sets, make informed decisions, and contribute to various fields through statistical analysis.
Comprehensive Curriculum: The MSc Statistics program features a comprehensive curriculum covering foundational statistical concepts, probability theory, advanced statistical methods, and data analysis techniques.
Quantitative Skills: Students develop strong quantitative skills, including data manipulation, hypothesis testing, regression analysis, and multivariate techniques.
Statistical Software: The program provides hands-on experience with widely used statistical software, enabling students to analyze real-world data sets and derive meaningful insights.
Research and Analysis: Students gain proficiency in designing and conducting research studies, applying statistical techniques to analyze and interpret data, and drawing valid conclusions.
Applied Statistics: The program emphasizes the application of statistical methods to various fields, including business, finance, healthcare, social sciences, and more.
Data Visualization: Students learn data visualization techniques to effectively communicate complex findings and insights to both technical and non-technical audiences.
Research Project: The program often includes a research project or dissertation, allowing students to delve into a specific area of interest and apply their statistical skills to solve real-world problems.
University Park Campus
IELTS 6.5
£ 24000
Postgraduate Entry Requirements: For admission into postgraduate programs at the University of Nottingham, international students are generally required to meet the following criteria:
Academic Qualifications: Students should have completed a bachelor's degree or its equivalent with a minimum of 60% or above in their country's grading system. The specific entry requirements may vary depending on the chosen program of study. Some programs may have additional subject-specific requirements or prerequisite knowledge.
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Scholarships for International Students at the University of Nottingham:
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of the MSc Statistics program from the University of Nottingham have a wide range of career opportunities.
Statistician: Graduates can work as statisticians in various industries, including pharmaceuticals, finance, market research, government agencies, and more.
Data Analyst: Graduates can become data analysts, responsible for extracting insights from large datasets to inform business decisions.
Quantitative Analyst: Graduates can work in finance as quantitative analysts, applying statistical models to assess risk, forecast trends, and make investment decisions.
Research Scientist: Graduates can contribute to research projects across disciplines by designing experiments, analyzing data, and interpreting research findings.
Business Intelligence Analyst: Graduates can assist businesses in making strategic decisions by analyzing and interpreting data related to market trends, customer behavior, and more.
Academic Researcher: Graduates can pursue academic careers, conducting research and contributing to the advancement of statistical theory and applications.
Data Scientist: Graduates can become data scientists, utilizing their statistical skills to extract insights, build predictive models, and drive data-driven decision-making.