Applied Statistical Modelling & Health Informatics MSc, PGCert, PGDip

Course Introduction

This course has been created to deliver a skill set and knowledge base in multimodal and big data analysis techniques, which are a recognised scarcity within UK Life sciences.

You will receive world-class training in core statistical, machine learning and computational methodology, and you will have the opportunity to apply your skills to real-life settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.

The course will apply to a broad spectrum of graduates preparing for a career in medical statistics and health informatics, or professional methodologists and clinical researchers working in the private or public health sector.

This course is also suitable if you are a graduate in/work in the fields of computer science, maths, physics, engineering and natural science, including psychology and medicine.

Description:

Our course is to meet the growing need for a graduate training course that focusses on methodological skills to respond to problems of ?big data? of complexes diseases, which is underpinned by strong statistical methodology and real-world application.?

There is an increasing demand for the acquisition, storage, retrieval and use of information within private and public sector institutions engaged in health research. The range of modern medical data is vast, from patient records, genetics, other omics and imaging data, to real-time measures of physiological responses from wearable sensors, smartphone social media use and environmental data. We will provide you with the necessary state-of-the-art statistical modelling and health informatics techniques to manage and evaluate this data.

You will receive training in key methodological techniques underpinning ?big data? acquisition, information retrieval and analysis using prediction modelling and theory driven analyses approaches.

You will benefit from the teaching of world-renowned experts in the field, you will conduct an applied research project and link to statistical and health informatics research groups, such as the causal modelling group, precision medicine and statistical learning, measurement theory, health informatics and natural language processing groups in the Department of Biostatistics and Health Informatics.

You will be part of a multi-professional cohort, bringing together diverse points of view on national and international modern data dilemmas. You will also have the unique opportunity to network and develop career opportunities.

Our course combines training in core statistical, machine learning and computational methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical modelling and health informatics. Each year you will normally take modules totalling 60 credits for the PGCert.

The course offers a unique delivery using a blended distance learning approach to allow flexibility of learning. Each programme module runs over 6-weeks and is made up of an off campus (online distance learning) familiarisation week, 5 days on campus, face-to-face teaching and 4 weeks off campus online distance learning.

Career prospects:

Our course will help you to develop your career in the medical research and health sector, including public health service (NHS), pharmaceutical and computer companies, technology start-ups, government agencies as well as academia and other scientific organizations. Knowledge of applied statistical modelling and data science will also open careers in other sectors such as banking, marketing, insurance and consulting. It will also provide a strong foundation for students interested in obtaining a PhD in biostatistics, data science or informatics with an emphasis on applications in health science.

Students can also exit with PGDip and PGCert awards.

Start Date

2020-SEP-28. 2020-SEP-28.

Tuition & Fees

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £12,750 Home Fees
1 year
Full Time
MSc £12,750 European Fees
1 year
Full Time
MSc £29,850 Overseas Fees
2 years
Part Time
MSc £6,375 Home Fees
2 years
Part Time
MSc £6,375 European Fees
2 years
Part Time
MSc £14,925 Overseas Fees

Qualifications Required

  • Domestic entry requirements: A bachelor?s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme. Candidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement. Other degrees or professional qualifications may also be acceptable such as the Graduate diploma of the Royal Statistical Society.
  • International entry requirements: A bachelor?s degree with 2:1 honours in Computer Science, Mathematics, Statistics, Physics, Natural Sciences, Electronic Engineering, Psychology or Geographic Information Systems. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme. Candidates who achieved a 2:2 in their undergraduate degree will need to support their application with a one page personal statement and an academic reference addressing their academic and relevant professional achievement. Other degrees or professional qualifications may also be acceptable such as the Graduate diploma of the Royal Statistical Society. Students can demonstrate their English Language Proficiency with any of the following tests and grades: IELTS (Academic): 6.5 overall with a minimum of 6.0 in each skill; TOEFL IBT: 92 overall, with a minimum 23 in each skill.
  • IELTS score: 6.5
  • TOEFL score: 92