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Students
Tuition Fee
GBP 29,250
Per course
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Applied Statistics | Mathematical (Theoretical) Statistics | Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 29,250
About Program

Program Overview


The Statistics MSc at the University of Leeds offers advanced statistical modelling training and specialization in areas like financial mathematics and clinical trials. Students develop comprehensive research skills, enhance their statistical knowledge, and complete an independent research project to demonstrate their abilities. This program prepares graduates for successful careers as statisticians, data scientists, and other professionals in various industries.

Program Outline


Degree Overview:

The Statistics MSc is a flexible Masters degree designed to broaden and deepen students' understanding of statistics. It combines in-depth training in mainstream advanced statistical modelling with a range of specializations, including financial mathematics, clinical trials, and risk management. The program aims to equip students with the skills and knowledge necessary for a successful career in various sectors.


Key Objectives:

  • Develop a comprehensive understanding of advanced statistical modelling techniques.
  • Gain expertise in specialized areas of statistics, such as financial mathematics, clinical trials, and risk management.
  • Enhance research methods in statistics, including writing styles and programming skills.
  • Conduct an independent research project to apply acquired knowledge and demonstrate research skills.

Program Description:

The Statistics MSc is a 12-month full-time program delivered on campus. It is accredited by the Royal Statistical Society, ensuring its alignment with industry standards. The program benefits from the University of Leeds' globally-renowned research, providing students with access to the latest thinking in areas like probability, financial mathematics, and modern applied statistics.


Outline:


Course Structure:

The program is divided into three semesters:

  • Semesters 1 and 2: Focus on taught modules.
  • Semester 3: Dedicated to a major dissertation.

Compulsory Modules:

  • Statistical Computing: 15 credits
  • Dissertation in Statistics: 60 credits

Optional Modules:

  • Mathematical Biology: 15 credits
  • Evolutionary Modelling: 15 credits
  • Linear Regression and Robustness: 15 credits
  • Statistical Theory: 15 credits
  • Stochastic Calculus for Finance: 15 credits
  • Multivariate Analysis: 10 credits
  • Time Series: 10 credits
  • Introduction to Clinical Trials: 15 credits
  • Medical Statistics in Practice: 15 credits
  • Mixed Models with Medical Applications: 15 credits
  • Discrete Time Finance: 15 credits
  • Continuous Time Finance: 15 credits
  • Risk Management: 15 credits
  • Advanced Mathematical Biology: 20 credits
  • Advanced Evolutionary Modelling: 20 credits
  • Linear Regression and Robustness and Smoothing: 20 credits
  • Multivariate and Cluster Analysis: 15 credits
  • Time Series and Spectral Analysis: 15 credits
  • Generalised Linear and Additive Models: 15 credits
  • Independent Learning and Skills Project: 15 credits

Assessment:


Assessment Methods:

  • Taught Modules: Primarily assessed through end-of-semester examinations, with a small component of continuous assessment.
  • Dissertation: Assessed by a written dissertation and a short oral presentation.

Teaching:


Teaching Methods:

  • Lectures
  • Tutorials
  • Seminars
  • Supervised research project

Faculty:

  • Dr Luisa Cutillo, Programme Leader, specializes in networks and network applications.
  • A team of expert academics, including lecturers, professors, industry professionals, and trained postgraduate researchers.

Careers:


Career Opportunities:

  • Actuarial, betting, and gaming industries
  • Charitable organizations
  • Commercial, environmental, and financial organizations
  • Forensic and police investigation
  • Government departments
  • Market research
  • Medical and pharmaceutical organizations

Career Outcomes:

  • Statistical Consultant
  • Statistician
  • Risk Analyst
  • Bio Statistician
  • Data Scientist
  • Programme Analyst
  • Actuary

Other:

  • The program provides access to specialist facilities, including IT resources and a wide range of materials.
  • The University of Leeds offers a range of careers resources, including an Employability team, careers fairs, and the MyCareer system.
  • The program is designed to meet the growing demand for statisticians in various sectors.
  • University of Leeds students are among the top 5 most targeted by top employers.
  • The program is suitable for those seeking to pursue further research as PhD students.

UK fees: £13,250 (Total)


International fees: £29,250 (Total)

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About University
Masters
Bachelors
Diploma
Foundation
Courses

University of Leeds


Overview:

The University of Leeds is a public research university located in Leeds, West Yorkshire, England. It is a large and prestigious institution with a strong reputation for academic excellence and a vibrant campus life.


Academic Programs:

The University of Leeds offers a wide range of undergraduate and postgraduate programs across various faculties, including:

  • Arts, Humanities and Cultures
  • Biological Sciences
  • Business School
  • Engineering and Physical Sciences
  • Environment
  • Medicine and Health
  • Social Sciences

Total programs
355
Average ranking globally
#91
Average ranking in the country
#8
Admission Requirements

Entry Requirements:

A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component. Successful applicants will have a foundation in Statistics including strong grades in statistical modules (no key marks below 2:2). We do not normally accept degrees in Accountancy or Finance. We accept a range of international equivalent qualifications.


Language Proficiency Requirements:

IELTS 6.5 overall, with no less than 6.0 in all components. For other English qualifications, read English language equivalent qualifications.

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