Applied Statistical Modelling & Health Informatics Msc, Pgcert, Pgdip in Kings College London, UK

Applied Statistical Modelling & Health Informatics Msc, Pgcert, Pgdip in Kings College London

New scholarships for 2020 entry.

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.

Key benefits

• Specialist careers for those interested in applied statistical modelling and health informatics within a modern information and knowledge-based medical research setting.
• Valuable insight from those working at the cutting edge of these fields.
• A unique flexibly-structured programme ideal for researchers in industry and academia hoping to obtain methodological skills to boost their research excellence and employability.
• Develop your skills in multimodal and big data analysis techniques.
• Learn how omics, electronic health records, social media, wearables and smartphone data are used to benefit the patient.
• Apply your skills to real-life health settings facilitated by the world-leading Institute of Psychiatry, Psychology & Neuroscience.
• Access the IoPPN’s statistical and health informatics research groups and benefit from our links with industry and the NHS.
• Benefit from outstanding career, networking and mentoring opportunities.

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

There is an increasing demand for individuals who can understand and manage information and information systems, as well as analyse and interpret complex data in industry, the public health sector and academia.

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.

Knowledge of applied statistical modelling and data science will open up careers across sectors. This is the ideal next step if you’re looking to work/already work in industry, commerce, health or academia. The course will also provide a strong foundation for students interested in obtaining a PhD.

Know more about Studying in UK

Tuition Fees in UK (1st Year Average)	MS: £17276 | MBA: £17276 | BE/Btech: £16632 | BBA: £15130 | BSc: £16632 | MFin: £19000 | MA: £15560 | MIM: £18241 | MEM: £16950 | MArch: £14271 | BHM: £12662 | MIS: £15344 | MEng: £12876 | MBBS: £28865| MPharm: £15452
Average Accomodation & Food Costs in UK	£850 to £1,050 a month
Entrance Exams in UK	TOEFL: 88 | IELTS: 6.5 | PTE: 59 | GMAT: 590
Work and Study in UK	Permitted for 20 hours/week with a valid study permit.
Post Study Work Permit in UK	2 Year after graduation depending on the course.
Cost of Student Visa in UK	£348
Student Visa in UK	Your nationality, duration of your stay and purpose of your stay are the three essential factors for UK visa. For Non-EU students UK visa is mandatory.
Intakes in UK	There are mainly two intakes in UK: January/February & September/October.
Top Job Sectors in UK	IT Engineering, Product Design, Mobile Development, Designers, Logistics, etc.
Economy in UK	Growth Rate: 1.3% (2018) 1.4% (2019) 1.4% (2020e), 6th Largest Economy in the World by Nominal