MSc Data Science and Communication

at University of Liverpool

Module details
You will study four compulsory modules, including a dissertation; and 3 optional modules (one in Semester 1, and two in Semester 2).

Compulsory modules
 

• Dissertation (COMM716) 
• Introduction to Data Science A (COMM741) 
• Artificial Intelligence and Communication A (COMM766) 
• Introduction to Computational Social Science Methods (COMM742) 

Applicants will have either a good second class (2.1 level) or a first-class degree in Communication Studies or other Social Sciences or Humanities, or a technical background in Computer Science, IT or an equivalent discipline. Alternatively, an applicant may have a degree in another subject and appropriate postgraduate experience and employment.

Graduates of non-UK universities will have to have achieved comparable results. All cases will be judged individually on the basis of information provided on the standard university application form plus academic references. All applications are considered on their individual merit. At the time of application, discussion either in person or via email will turn to a possible research topic in order to match a student to a possible dissertation supervisor and to aid in choice of taught modules.

Fees
Fees cover the cost of your tuition, registration, examinations (but not re-sits) and graduation.

Tuition fees (Home)
£9,650

International students
£20,350

You will gain competitive skills to be employed in a wide range of industry and third sector organisations requiring expertise in Data Science applied to communication environments. Such professional figures are highly required in a wide range of domains such as Artificial Intelligence, news media, research and development, PR, marketing and advertising, consulting, and publishing, among others.

The programme also provides a strong platform from which to progress to further research at PhD level that is supported and supervised by colleagues in the Department of Communication and Media or in the Department of Computer Science.