Studyportals
Master On Campus Online

Data Science

University of London

12 months
Duration
8101 GBP/year
8101 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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 with the Data Science programme from University of London. 

Overview

Key facts:

By studying this Data Science programme from University of London 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.
Modes of study: Distance learning | Teaching Centre 

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: These skills will lead to a variety of careers with employers from technology firms, the biomedical research sector, the charitable and voluntary sector, and public research sector.

MSc Data Science and Artificial Intelligence: Embark on a variety of careers with employers from leading technology firms, robotics, military, academia, and public research sector.

MSc Data Science and Financial Technology: For a variety of careers with employers from the financial sector, including financial planning, insurance, marketing, and investment banking.

Programme Structure

Courses include:

  • Statistics and Statistical Data Mining
  • Data Programming in Python
  • Machine learning
  • Data Visualisation

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5
Start practicing IELTS today!
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92

Credits

180 alternative credits
  • MSc- 180 credits 
  • PGDip - 120 credits 
  • PGCert - 60 credits

Delivered

On Campus, Online

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Lower Second Class

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5
Start practicing IELTS today!
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92

Other requirements

General requirements

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.
  • Previous degrees should normally include a sufficient level of programming such as Python detailed in your transcript. Whilst other degrees such as Engineering and Mathematics will be considered on a case by case basis.
  • If we consider your previous degree as non-relevant then we will request you take our MOOC, Foundations of Data Science: K-means Clustering in Python, before you start our Data Science programme. This MOOC requires approximately 30 hours of study.

Technological requirements

As this is a technical degree, you will need regular access to a computer with an internet connection and a minimum screen resolution of 1024x768. You will also need Adobe Flash Player to view video material and a media player (such as VLC) to play video files.

Tuition Fee

To alway see correct tuition fees
  • International

    8101 GBP/year
    Tuition Fee
    Based on the tuition of 8101 GBP per year during 12 months.
  • National

    8101 GBP/year
    Tuition Fee
    Based on the tuition of 8101 GBP per year during 12 months.

Band A countries:

  • Independent web-supported student£8101
  • Recognised Teaching Centre supported student£4181 + teaching centre fee

Band B countries:

  • Independent web-supported student £12101
  • Recognised Teaching Centre supported student £6901 + teaching centre fee

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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