Introduction to MATLAB (for MHS)
Duration 0.5 days
Training Points 1.0
Team Researcher Academy

This course is delivered by the Researcher Academy

Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. Semester 1 courses will be available for booking from the second week of October and Semester 2 courses from the second week of February.

Target Audience: This course is provided as part of the MHS Faculty Training Programme and N-trans Training Programmes and is for postgraduate doctoral students and research-only staff (ECRs) in the Faculty of Medicine and Health Sciences only.

Process: Lecture and Computer-based practical workshop

Learning Outcomes
  • Become familiar with MatLab programming environment and basic functions of MATLAB
  • Know how to deal with different types of data
  • Know how to use MATLAB to do basic descriptive analysis and graphical presentations
  • Know how to perform basic statistical tests and interpret the results

Course Description

MATLAB is a popular programming environment that allows powerful and fast manipulation of data, offering many statistical and graphical options.

This course is recommended for those who want to learn the basics of MATLAB programming. It aims to introduce MATLAB as a tool for statistics and graphics, with the main aim being to become comfortable with the MATLAB environment and be confident with modifying existing programs.

The course will focus on entering and manipulating data in MATLAB and producing graphs.  A brief revision of fundamental statistics will be discussed and the important and common functions in MATLAB, which are typically used in biomedical research will be introduced. The workshop will be interactive with a focus on learning by example. No prior programming experience is needed.

This course includes the following topics:

  1. Introduction to the MATLAB platform and interface
  2. Dealing with various data objects, e.g. vector, matrix
  3. MATLAB Environment for health-related research
  4. Statistical functions in MATLAB
  5. Graphical functions in MATLAB

If there are no course dates listed below, then all of the instances have already taken place for this current academic year. Course dates for 2019/20 will be published in early October 2019 with courses running from late November 2019 to June 2020. 

Booking Conditions

Latecomer policy

Researchers should plan to arrive prior to the advertised course start time. Except for exceptional reasons, there will be no admittance to a Researcher Academy or Faculty Training Programme (FTP) course 15 minutes after the advertised course start time.

Importance of booking commitment

When booking on to a Researcher Academy short course you are entering into a commitment to attend. If you find that you are no longer available to attend you MUST cancel your place (on the system if more than three days before the course) or if at short notice by emailing This will ensure that your place can be offered to another researcher on the waiting list. Failure to cancel a place results in other researchers missing out on places through the waiting list process.

It is unacceptable for researchers to just not attend when booked onto a course. Researcher Academy maintains records of those who repeatedly do not attend courses they have booked. This may affect future eligibility to book onto further Researcher Academy courses and will affect considerations for Researcher Academy funded opportunities.

Pre-Requisites Pre-requisites: Good working knowledge of basic statistics and computing is highly desirable.
LocationStart DateAll DatesTimesPlaces AvailableBook