University of Strathclyde: Faculty of Science

MSc Applied Statistics (Online)

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)