MSc Data Science Online Tutor

The opportunity The University of London is accepting applications for Online Tutors to support the new and innovative online MSc Data Science programme, with academic direction from Goldsmiths. Mor

The opportunity

The University of London is accepting applications for Online Tutors to support the new and innovative online MSc Data Science programme, with academic direction from Goldsmiths.

More information about the MSc Data Science programme can be found here:

The role

We are looking for enthusiastic individuals to act as Online Tutors. The Online Tutor’s task will be to provide online support, marking coursework assignments and providing feedback to students. Each Online Tutor will receive support from a Module Leader and Programme Director and will work closely with University of London’s Student Relationship Managers.

You would engage as a self-employed independent contractor and not as an employee of the University of London. If successful, you will join to a talent pool of online tutors for future sessions. The next session will begin in April 2021. Please note the role is subject to student numbers.

We would also like to hear from individuals interested in undertaking examination duties.

Candidate Profile

You will be a motivated individual who enjoys working with students and keen to support them to succeed in their studies.

You will have a postgraduate degree in a discipline relevant to Data Science or a relevant undergraduate degree plus five years’ industry experience, and ideally some previous experience working in Higher Education.

Further details are in the person specification

The MSc DS Modules are listed below:

Module (15 credits unless indicated otherwise)

Indicative Module Release Date

Data programming in Python

April 20

Mathematics and statistics for data science

April 20

Machine learning

April 20

Big data analysis

October 20

Data visualisation

October 20

Data science research topics

October 20

Blockchain programming

April 21

Mathematics of financial markets

April 21

R for data science

April 21

Financial data modelling

April 21

Final project (30 credits)

April 21

Artificial Intelligence

October 21

Natural language processing

October 21

Neural networks

October 21

Social networks and graph analysis

October 21

How to Get Involved:

To apply, please follow the steps below:

  • Please submit your CV and a covering letter detailing how you meet the person specification.
  • Please complete the following online tests along with your application (please complete the tests using the same email address used in your application):

  • Maths task
    (if interested in working on maths modules):
  • Programming task (if interested in working on programming/other modules):

Please click the ‘apply’ button below to complete and submit an application for the position.

If you would like to hear more about this opportunity, please contact Ruth Collins via email at

About The University of London

The University of London is the world’s oldest provider of academic awards through distance and flexible learning, dating back to 1858, when the University of London was awarded a Royal Charter by Queen Victoria.

In 1858 Charles Dickens described the University of London as ‘The People’s University’ when its 1858 Royal Charter extended access to degrees to those who could not come to London to study.

Today, students of the University of London’s distance and flexible learning programmes study from a suite of 100+ academic programmes, with some taking the award through self-study or through support from local teaching institutions. To find out more visit –

The University’s distance and flexible learning provider is the world’s largest classroom, with 50,000 students worldwide, and over 1.4 million learners on the Coursera online platform for MOOCs (Massive Open Online Courses), bringing this global reach to 1.4 million people around the world, covering more than 180 countries.

Further information about the University of London is available at –