MSc Data Science Online Tutor

Job reference: 002026

Location: Other

Closing date: 30/09/2022

Salary: £1,291.60 (plus additional fee for undertaking assessment marking)

Employment type: Self-employed Contractor

Department: University of London - Worldwide

Sub-Department: Academic Worldwide

Hours per week: Not Specified

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 October 2022. 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)

Data programming in Python

Mathematics and statistics for data science

Machine learning

Big data analysis

Data visualisation

Data science research topics

Blockchain programming

Mathematics of financial markets

R for data science

Financial data modelling

Final project (30 credits)

Artificial Intelligence

Natural language processing

Neural networks

Social networks and graph analysis

How to Get Involved:

To apply, please follow the steps below:​​​​​​​

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

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 Adrian Calo via email at


 The University of London

The University of London is one of the largest and most diverse higher education institutions in the world. With a mission to transform lives through knowledge, it delivers high quality academic programmes, brings benefits to society through its research in the humanities and social sciences, and leverages intellectual connections through public engagement.

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 -