This Master of Science (MSc) program in Data Science and Communication equips students with advanced skills in handling and interpreting complex data, alongside the ability to effectively communicate findings. The course is designed for individuals seeking to bridge the gap between technical data analysis and clear, impactful communication strategies. Graduates will be prepared for roles that require a deep understanding of data-driven insights and the capacity to present them to diverse audiences.
The MSc in Data Science and Communication is a 12-month full-time program.
Graduates of the Data Science and Communication MSc program are well-prepared for a variety of roles in data-intensive industries. The blend of technical data skills and communication expertise makes them valuable assets in fields requiring data analysis, interpretation, and presentation.
English language proficiency requirements may be met through other recognised tests. Students from majority English-speaking countries are exempt.
There are no hidden costs associated with tuition fees. The University offers various payment options. A fee deposit is required upon acceptance of an offer.
You need a recognised Bachelor's degree with at least a 2:1 honours classification or equivalent, or a relevant professional qualification. Applicants with a 2:2 degree may be considered if they have relevant work experience.
You can meet the English language requirements with an IELTS score of 6.0 overall, with a minimum of 5.5 in each component, or a TOEFL score of 87 overall, with a minimum of 21 in Speaking and Writing. Other recognised tests may also be accepted.
The MSc in Data Science and Communication is a 12-month full-time program.
Please refer to the University of Liverpool website for the most up-to-date international tuition fees.
You can apply through the University of Liverpool's online application portal, completing the form and uploading required documents like transcripts, degree certificates, and proof of English proficiency.
Graduates are prepared for roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, Communications Specialist, and Data Visualization Specialist in data-intensive industries.