WeUni docsity Logo
Бакалавриат
Магистерская степень
Докторские степени
Онлайн
Основные сферы обучения
Bg HeroCard

Магистр Прикладной Статистики (Онлайн)

University of Strathclyde: Faculty of Science


Расположение

Великобритания

Форма обучения

Онлайн

Язык курса

Английский

Предметные области

Математика, Статистика

Длительность

2 лет

График обучения

Частичная занятость

Уровень

Магистр наук (MSc)

Плата за обучение

Запросить информацию

Описание программы

Why this course?

Our online MSc in Applied Statistics is a conversion course, that offers the opportunity to develop skills in statistics and data analysis even if you have never studied statistics before.

You'll be supported through this programme 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. Modules are delivered entirely online, giving students the flexibility to study at times that suit them. 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

Programme skillset

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

  • 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 are widely sought after in the commercial sector
  • practical experience in statistical consultancy and how to interact with professionals who require statistical analyses of their data

Entry requirements

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

Mathematical knowledge

Applicants are required to have some prior mathematical knowledge, for example A Level or equivalent in:

  • calculus
  • linear algebra
  • differential equations

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.

As a university, we now accept many more English language tests in addition to IELTS for overseas applicants, for example, TOEFL and PTE Cambridge.

Please contact the university for more information.

Course Content

Compulsory classes

  • Foundations of Probability & Statistics (20 credits)
  • Data Analytics in R (20 credits)
  • Statistical Modelling & Analysis (20 credits)
  • Research project (60 credits)

Elective classes

  • Quantitative Risk Analysis (10 credits)
  • Survey Design & Analysis (10 credits)
  • Financial Econometrics (10 credits)
  • Financial Stochastic Processes (10 credits)
  • Medical Statistics (20 credits)
  • Effective Statistical Consultancy (10 credits)
  • Bayesian Spatial Statistics (10 credits)
  • Machine Learning for Data Analytics (20 credits)
  • Big Data Fundamentals (10 credits)
  • Big Data Tools & Techniques (10 credits)

Информация об Институте

At the Faculty of Science, University of Strathclyde we offer our students high-quality teaching, informed by innovative research, within one of the UK’s leading schools of science. We are ranked no 1 for Forensic Science and no 3 for Pharmacology & Pharmacy in the UK in the Complete University Guide 2024.

The Faculty consists of 5 Departments:

  • Computer & Information Sciences
  • Mathematics & Statistics
  • Physics
  • Pure & Applied Chemistry
  • Strathclyde Institute of Pharmacy & Biomedical Sciences

Across the Faculty, we offer a wide range of postgraduate taught courses and research opportunities designed to offer you advanced skills relevant to today’s global workplace.

Delivered by world-class researchers, our Masters's programs provide the opportunity to gain an invaluable postgraduate qualification that will enhance your career prospects.

There are opportunities for cross-disciplinary research and study, both within the Faculty or across other University faculties and centers.

In choosing to study science at Strathclyde you will become part of an international community of staff and students from more than 40 countries.

Our facilities are excellent, with well-equipped, modern laboratories and teaching rooms, plus 24-hour access to an advanced computer information network and a sophisticated virtual e-learning environment.

Похожие программы

MS Analytics

Kogod School of Business, American University

logo Kogod School of Business, American University

Онлайн

Соединенные Штаты Америки (США)

Математика, Статистика, Информационные системы, Наука о данных

Магистр наук (MSc)


Английский

1 Год

Подробнее

MSE по Финансовой Математике

Johns Hopkins Whiting School of Engineering

logo Johns Hopkins Whiting School of Engineering

Онлайн

Соединенные Штаты Америки (США)

Математика, Статистика, Финансы

Магистр наук (MSc)


Английский

2 лет

Подробнее

Магистр наук по анализу решений

Minerva Schools at KGI

logo Minerva Schools at KGI

Онлайн

Соединенные Штаты Америки (США)

Математика, Статистика, Бизнес-администрирование

Магистр наук (MSc)


Английский

1 Год 9 месяцев

Подробнее

Магистр наук в области Аналитики

Kogod School of Business Online

logo Kogod School of Business Online

Онлайн

Соединенные Штаты Америки (США)

Математика, Статистика, Информационные системы, Наука о данных

Магистр наук (MSc)


Английский

1 Год

Подробнее
WeUni docsity Logo White