斯特拉斯克莱德大学 · 应用统计学理学硕士 硕士

📖 项目简介

Our MSc in Applied Statistics is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studies statistics before. You'll be supported by members of staff who work directly with industry to develop skills which are relevant to current areas of research including population health and medicine, animal and plant health, finance and business.

You'll gain skills in:

• problem solving
• analysis and manipulation of complex data
• the use of statistical software for data analysis and reporting
• effective communication of statistics

On the MSc Applied Statistics programme you'll have the opportunity to acquire:

• an in-depth knowledge of modern statistical methods used to analyse and visualise real-life data sets, and the experience of how to apply these methods in a professional setting
• skills in using statistical software packages used in government, industry and commerce
• the ability to interpret the output from statistical tests and data analyses, and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem
• problem solving and high numeracy skills widely sought after in the commercial sector
• practical experience of statistical consultancy and how to interact with professionals who require statistical analyses of their data

In addition to compulsory modules, there are a range of elective modules, meaning you can tailor the course in line with your career interests.

Semester 1 In semester 1, modules focus on the foundations of statistics. You’ll learn about probability, and basic statistical analysis, as well as developing skills in programming in the statistical programming language R.

Semester 2 In semester 2, modules will build on concepts from semester 1. These will focus on methods of analysis that can be applied to specific areas, such as medical trials, risk analysis, and finance.

Semester 3 In semester 3, you'll undertake a research project in which you'll work on a real-life data set, putting the theoretical skills you have learned into practice.

Classes are delivered by a number of teaching methods:

• lectures (using a variety of media including electronic presentations and computer demonstrations)
• tutorials
• computer laboratories
• coursework
• projects

Teaching is student-focused, with students encouraged to take responsibility for their own learning and development. Classes are supported by web-based materials.

The form of assessment varies from class to class. For most classes the assessment involves both coursework and examinations.

• The assessment will take ask you to demonstrate your statistical knowledge and skills to analyse real world data and interpret the results in the context of the research question
• Projects will involve writing code, interpreting statistical outputs, and producing a report, or presentation outlining the findings from your analysis
• Group work may be undertaken in some classes

The Department of Mathematics & Statistics has teaching rooms which provide you with access to modern teaching equipment and University computing laboratories, with all necessary software available.

You'll also have access to a common room facility which gives you a modern and flexible area for individual and group study work and is also a relaxing social space.

At the heart of the Department of Mathematics & Statistics is the University’s aim of developing useful learning. We're an applied department with many links to industry and government. Most of the academic staff teaching on this course hold joint-appointments with, or are funded by, other organisations, including APHA, Public Health and Intelligence (Health Protection Scotland), NHS Greater Glasgow and Clyde and the Marine Alliance for Science and Technology Scotland (MASTS). We bridge the gap between academia and real-life. Our research has

📋 项目参数

✨ 项目特色

• a conversion course for those with a background in a broad range of disciplines
• gain skills in problem-solving, the analysis and manipulation of complex data and use of statistical software packages
• learn to interpret and report the result from data analyses

Prefer to study this course online? We also offer MSc Applied Statistics (online) .

🎯 入学要求

Academic requirements/experience Minimum second-class (2:2) Honours degree or overseas equivalent. Mathematical training to A Level or equivalent standard. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. Don’t meet the academic entry requirements? We offer the Pre-Masters Preparation Course at the University of Strathclyde International Study Centre, for international students (non-UK/Ireland). Mathematical knowledge Applicants are required to have some prior mathematical knowledge, eg A Level or equivalent in: calculus linear algebra differential equations If you have any questions, email ( science-masters@strath.ac.uk ). English language requirements You must have an English language minimum score of IELTS 6.0 (with no component below 5.5). We offer comprehensive English language courses for students whose IELTS scores are below 6.0. Please see ELTD for full details . As a university, we now accept many more English language tests in addition to IELTS for overseas applicants, for example, TOEFL and PTE Cambridge. View the full list of accepted English language tests here . Fees & funding Back to course

📊 申请案例数据分析

🌍 其他院校的同名项目（4 个）

🔗 站内归类方向

🔗 斯特拉斯克莱德大学的其他专业方向

❓ 常见问题