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MSc Health Data Science (pre-course info)

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 melanie.smuk@lshtm.ac.uk and I will do all I can to help.

Welcome Week

Welcome Week Timetable

Preparing for the programme

Reading

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.

Computer

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.

Stationery

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
  • Programming
  • 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
N/A
Health Data Science module schedule

Term 1

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

Key
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

Term 2

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

EHR

21-Mar 10 Geno Geno Geno Geno   EHR EHR EHR EHR
Key
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