Data Science MSc, PGDip and PGCert

Reino Unido

O que eu aprenderei?

Learn how to apply technology to real world data science problems and gain an in depth understanding of emerging technologies, statistical analysis and computational techniques.

By studying this degree you will:

  • have the option to study one of the specialist pathways in Artificial Intelligence or Financial Technology
  • address skills required by data scientists to drive improvements in organisational performance
  • have the opportunity to create your own data analysis projects
  • earn a prestigious qualification that is valued across the globe.

How you study

You can study this online programme from anywhere in the world. The flexible approach to learning enables you to fit your studies around your commitments whilst providing the academic rigour and structure of an on-campus programme.

Modules are offered over two 22-week sessions each academic year. You choose which sessions to enter and how many modules to take in each session.

Assessment deadlines are outlined clearly in advance of the session.

The maximum number of modules you can study in one session is six, (or four plus the final project). You will also receive comprehensive learning materials and support from online tutors.

Career opportunities

Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government.

The benefits of our programme is flexible to address the skills shortage of data scientists who can use data to drive improvements to organisational performance. You will have the opportunity to gain highly-valued skills through the specialist pathways: MSc Data Science; MSc Data Science and Artificial Intelligence; MSc Data Science and Financial Technology.

Students can also exit with Pgdip and PgCert awards.

De qual departamento farei parte?

Data Science

Opções de estudo

Online/a distância com algumas horas presenciais (1 ano)

Valores
The fee for 2023/24 entry is: Band A: Independent web-supported student - £9579; Recognised Teaching Centre supported student - 4959 + teaching centre fee. Band B: Independent web-supported student - £14223; Recognised Teaching Centre supported student - 8151 + teaching centre fee. There might be slight increase in fee for 2024/25 entry.
Data de início

Abril 2024, Outubro 2024

Localização

University of London Worldwide

Senate House,

Malet Street,

London,

WC1E 7HU, England

Requisitos de admissão

Para estudantes internacionais

Entry Route 1: To be eligible to register for any of the Data Science programmes, you must have the following: A bachelor’s degree (or an acceptable equivalent) in a relevant subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University. Relevant subjects include but are not limited to the following: Biomedical Statistics; Business Computing; Computer Science; Creative Computing; Data Science; Economics; Engineering; Finance; Games Programming; Machine Learning and Artificial Intelligence; Marketing and Finance; Mathematics and statistics; Physics. Entry Route 2: A bachelor’s degree (or an acceptable equivalent) in any subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University. In addition to the above, you will be required to complete an online preparatory course prior to registration. The online preparatory course, Foundations of Data Science: K-Means Clustering in Python, requires approximately 30 hours of study. You will meet our language requirements if you have achieved one of the following within the past three years: IELTS: at least 6.5 overall, with 6.0 in the written test; TOEFL iBT: at least 92 overall, with 22+ in reading and writing and 20+ in speaking and listening.
ADICIONAR AOS MEUS FAVORITOS

Entre em contato