Statistics MSc

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About this course 2018/19

**Subject to Validation**

Designed for students from a wide range of quantitative backgrounds this programme will enhance and develop your skills in a broad range of statistics topics.

You will study modern statistical research methods applied to social science, medicine or biology aligned with interest in statistics.  The programme will encompass research skills (such as critical appraisal of published research journal articles) and deep mathematical and statistical learning tools.

Highly desirable for those who want to pursue a career in statistics, this programme will equip you with a range of statistical skills, including problem-solving, project work and presentation, and prepare you for prominent roles in a wide spectrum of employment and research.

Learn from the best

You’ll learn from a team of leading mathematicians and statisticians. Our internationally diverse teaching team come from a wide range of backgrounds and have a wealth of experience between them.

You can find out more about our teaching staff and their specific areas of interest and expertise in the staff profiles section..

Teaching and assessment

Your tutors will use a variety of teaching methods including lectures, seminars and workshops. As this is a master’s course there is a major element of independent learning and self-motivated reflection.

You’ll be taught through lectures, classes, seminars and workshops in computer labs where you’ll work with your fellow students, supported by academic staff.

You will also be able to use the university’s online resources to support your study, including the e-learning portal where you can access course materials and develop discussions with your peers.

We will support you to take an independent approach to problem solving and you’ll develop skills in computer programming and data analysis using a range of specialist applications.

Learning Environment

Technology will play a big part in your learning and is embedded throughout the course and you will be able to benefit from an extensive range of specialist facilities to support all aspects of your studies.

You will have access to the high computational and modelling mathematical lab and using the latest statistical software for Big Data and simulations.

Research-rich learning

As a Master’s student you will develop your research sills to a new and higher level. The research undertaken by our staff focuses on the development and application of statistical models to real-life problems from fields such as health, social science and medicine.

Examples of current and recent research include disease mapping, survival analysis and predictive modelling in contexts such as addressing health inequalities in both developed and developing countries along with evaluation of crime prevention strategies.

Our staff use their research expertise to inform their teaching to ensure that your learning is on the cutting edge of developments in the field of statistics.

Give your career an edge

An MSc in statistics opens up a range of career options.

These include options from statistical consultancy to PhD studies and academic research.

Your Future

By the end of this course, you will have the skills necessary to follow statistical careers, within business, industry, universities or research institutes.

This course will also enable you to progress onto a PhD in Statistics.

Course info

Level of Study Postgraduate

Mode of Study

Department Mathematics, Physics and Electrical Engineering

Location Ellison Building, Newcastle City Campus

City Newcastle

Start September 2018

Current, Relevant and Inspiring

We continuously review and improve course content in consultation with our students and employers. To make sure we can inform you of any changes to your course register for updates on the course page.

Your Learning Experience find out about our distinctive approach at 
www.northumbria.ac.uk/exp

Terms and Conditions - northumbria.ac.uk/terms
Fees and Funding - northumbria.ac.uk/fees
Admissions Policy - northumbria.ac.uk/adpolicy