- General welcome
Hello, Bonjour, Hola, Guten Tag, Ciao, Olá, Namaste, Salaam, Zdravstvuyte, Nǐn hǎo, Konnichiwa, Anyoung haseyo, God dag...
Welcome to the MSc Health Data Science at LSHTM. My name is Mel Smuk and I am the programme director for the Health Data Science programme.
We have an amazing team of expert academics who will be here to support, teach and develop your skills throughout the programme.
Over the next academic year you will learn and advance your knowledge and skills to become part of the new generation of world-leading health data scientists, able to work in both the public and private sector. The programme will focus on building strong quantitative, computational and practical data management skills, while providing opportunities to develop key professional skills.
I hope you are as excited about starting the programme as I am to run it. I believe this will be an amazing journey and I will be here to support you throughout the year.
If you have any questions or problems then please email me at firstname.lastname@example.org and I will do all I can to help.
- Welcome Week
- Preparing for the programme
You will be pleased to know we do not have a set reading list for this programme. All students should have received an email from the Programme Director containing the reading material which we would like you to review and try before Welcome Week.
You will require a personal laptop computer to undertake the programme. The minimum required operating system should be at least Windows 8.1 or Mcintosh OS 10.12. We recommend you have Microsoft Office (or similar) installed and minimum Core i5 Processor.
You might want to have a note book and pen/pencil to take notes in sessions.
Three important steps for the programme
Step 1: Read and try the examples in the reading materials. Make any notes on questions you have to bring to the Welcome Week refresher session.
Step 2: Sort a basic IT setup. Have a good laptop or computer (check you microphone and speakers work OK) and set up an area to work in (somewhere comfortable to sit which is quite). Download and Install Zoom. Please make sure you set your name up - feel free to use the name you wish to be called (e.g. Mel Smuk instead of Dr Melanie Smuk)
Step 3: Get excited about the programme! Please don't be shy in sessions, there are no bad questions.
- Health Data Science modules
In the table below you can see the compulsory and optional modules for the MSc Health Data Science. There are no optional modules in Term 1 and you will be required to select two optional modules in Term 2. We highly recommend you select the Genomics Health Data and Survival Analysis and Bayesian Statistics optional modules in Term 2 as we believe these will give essential skills needed in the Health Data Science field.
Term Compulsory modules Optional modules Term 1 (weeks 1-10)
- Introduction to Health Data Science
- Health Data Management
- Epidemiology for Health Data Science
- Statistics for Health Data Science
N/A Christmas break Term 2 (weeks 11-20)
- Machine Learning
- Data Challenge
Select one from:
- Genomics Health Data
- Modelling and the Dynamics of Infectious Diseases
- Analysis of Hierarchical and Other Dependent Data
- Spatial Epidemiology in Public Health
Select one from:
- Environmental Epidemiology
- Survival Analysis and Bayesian Statistics
- Analysis of Electronic Health Records
Easter break Term 3
- Summer project
- Health Data Science module schedule
In Term 1 there are four module slots called A1, A2, B1 and B2:
Slot When Period Length A1 Before Reading Week Mon (AM) to Wed (lunchtime) 5 weeks A2 Before Reading Week Wed (PM) to Fri (PM) 5 weeks B1 After Reading Week Mon (AM) to Wed (lunchtime) 5 weeks B2 After Reading Week Wed (PM) to Fri (PM) 5 weeks
Term 1 timetable
Date Week Mon AM Mon PM Tue AM Tue PM Wed Thu AM Thu PM Fri AM Fri PM 27-Sep 1 Intro Stats Prog Prog HDM HDM HDM HDM 04-Oct 2 Intro Intro Prog Prog HDM HDM HDM HDM 11-Oct 3 Intro Stats Prog Prog HDM HDM HDM HDM 18-Oct 4 Intro Intro Prog Prog Prog Prog HDM HDM 25-Oct 5 Intro Stats Prog Prog Prog Prog HDM HDM Reading week 08-Nov 6 Intro Intro Stats Stats Epi Epi HDM HDM 15-Nov 7 Intro Stats Stats Stats Epi Epi HDM HDM 22-Nov 8 Intro Intro Stats Stats Epi Epi Epi 29-Nov 9 Stats Stats Stats Stats Epi Epi Epi Epi 06-Dec 10 Stats Stats Stats Epi Epi Stats Stats
Intro - Introduction to Health Data Science
Stats - Statistics for Health Data Science
Prog - Programming
HDM - Health Data Management
Epi - Epidemiology for Health Data Science
Blank - free self-directed study time
In Term 2 there are four module slots called C1, C2, D1 and D2:
Slot When Period Length C1 Before Reading Week Mon (AM) to Wed (lunchtime) 5 weeks C2 Before Reading Week Wed (PM) to Fri (PM) 5 weeks D1 After Reading Week Mon (AM) to Wed (lunchtime) 5 weeks D2 After Reading Week Wed (PM) to Fri (PM) 5 weeks
Term 2 timetable
Date Week Mon AM Mon PM Tue AM Tue PM Wed Thu AM Thu PM Fri AM Fri PM 10-Jan 1 ML ML ML ML Chall Chall Chall Chall 17-Jan 2 ML ML ML ML Chall Chall Chall Chall 24-Jan 3 ML ML ML ML Chall Chall Chall Chall 31-Jan 4 ML ML ML ML Chall Chall Chall Chall 07-Feb 5 ML ML ML ML Chall Chall Chall Chall Reading week 21-Feb 6 Geno Geno Geno Geno EHR EHR EHR EHR 28-Feb 7 Geno Geno Geno Geno EHR EHR EHR EHR 07-Mar 8 Geno Geno Geno Geno EHR EHR EHR EHR 14-Mar 9 Geno Geno Geno Geno EHR EHR EHR
21-Mar 10 Geno Geno Geno Geno EHR EHR EHR EHR
ML - Machine Learning
Chall - Data Challenge
Geno - Genomics Health Data (or other option chosen)
EHR - Analysis of Electronic Health Records (or other option chosen)
Blank - free self-directed study time
- Programme handbook
MSc Health Data Science Handbook 2020-21 (pdf)
MSc Health Data Science Handbook 2021-22 (coming soon)
Page last updated September 2021