MSc Statistics

Western Bank

 

INTAKE: September

Program Overview

The MSc Statistics program at The University of Sheffield offers a comprehensive and rigorous curriculum that covers both theoretical and applied aspects of statistics. 

  1. Statistical Theory: Students learn fundamental statistical theories, including probability theory, hypothesis testing, regression analysis, and Bayesian statistics.

  2. Data Analysis Techniques: The program equips students with various data analysis techniques, such as multivariate analysis, time series analysis, and non-parametric methods.

  3. Statistical Computing: Students gain hands-on experience with statistical software and programming languages commonly used in data analysis, such as R and Python.

  4. Experimental Design: The curriculum includes training in experimental design, enabling students to plan and conduct effective experiments.

  5. Data Visualization: Students learn how to effectively visualize and interpret data using graphical techniques.

  6. Machine Learning and Data Mining: The program introduces students to machine learning algorithms and data mining techniques for large-scale data analysis.

  7. Statistical Consulting: Students have the opportunity to work on real-world projects and gain experience in statistical consulting.

  8. Dissertation Project: In the final stage of the program, students undertake an independent research project under the guidance of faculty members.

Pollster Education

Location

Western Bank

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 24400

Postgraduate Entry Requirements:

  • Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60%-70% or equivalent.
  • English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
    • IELTS: A minimum overall score of 6.5 with no individual component below 6.
    • TOEFL: A minimum overall score of 88, with at least 19 in Listening, 20 in Reading, 22 in Speaking, and 19 in Writing.
    • PTE Academic: A minimum overall score of 61 with no individual score below 56.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

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.

Postgraduate students may be eligible for the following scholarships:

  1. Postgraduate Taught Merit Scholarship: This scholarship is available to UK, EU, and international students who have a conditional or unconditional offer to study a full-time or part-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
  2. International Merit Postgraduate Taught Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
  3. Commonwealth Shared Scholarship Scheme: This scholarship is available to students from eligible developing Commonwealth countries who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship covers the full tuition fee, airfare to and from the UK, and a monthly stipend.

Graduates of the MSc Statistics program from The University of Sheffield have excellent career prospects in various sectors. 

  1. Data Analyst: Graduates can work as data analysts, processing and analyzing data to provide insights and support decision-making in businesses and organizations.

  2. Statistical Consultant: Some graduates may choose to work as statistical consultants, offering their expertise to clients from different industries.

  3. Research Analyst: Graduates can work as research analysts in academic institutions or research organizations, contributing to cutting-edge research projects.

  4. Quantitative Analyst: Graduates may pursue careers as quantitative analysts in finance and banking, developing models and algorithms for risk assessment and trading strategies.

  5. Healthcare Data Analyst: Some graduates may work in the healthcare industry, analyzing patient data and contributing to medical research.


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