Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.

Change here for Clearing courses

Viewing as a student from United States living in United States interested in Undergraduate courses

You are looking at:

Courses starting in 2023

OK, GOT IT

Looking for Clearing information?

CHANGE

Data Science and Analytics BSc (Hons)

University of Westminster, London

Add to favourites
University of Westminster, London

Course options

2 options available

  • Qualification

    Bachelor of Science (with Honours) - BSc (Hons)

  • Location

    Main Site

  • Study mode

    Full time

  • Start date

    SEP-23

  • Duration

    3 Years

Course summary

In a constantly changing global environment, the massive use of social networks and the Internet of Things are generating a huge and fast-growing amount of data. Data processing is carried out through increasingly complex and sophisticated computer capabilities and algorithmic models, and involve advanced storage technologies such as cloud computing. As a result, there is currently a great need for professionals who can process, understand and present this data in an appropriate and effective way. These skills are much needed by businesses, which collect data from customers, partners and from the market in which they operate to support evidence-based decision making. Governments rely on data to improve their policies and deliver better services as well.This course will give you a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. You will develop knowledge of the fundamental principles and technologies that underpin the disciplines of mathematics, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues. At the end of your studies you will be ready to make a valuable contribution to the workforce. Should you wish to continue your studies at the University, there are opportunities to study for a Master's degree in Business Intelligence or Big Data Technologies.

Application deadline

25 January

Tuition fees

Students living in United States
(international fees)

£ 14,800per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

Do you need to know more?

Ask a question directly and subscribe to this university

REQUEST INFO

University information

University of Westminster, London

University of Westminster, London

  • University League Table

    111th

  • Campus address

    University of Westminster, London, 101 New Cavendish Street, LONDON, CITY OF WESTMINSTER, W1W 6XH, England

VIEW PROFILE
The university has a strong reputation for being one of the most diverse and welcoming, international universities in the UK.
Experienced lecturers use modern teaching methods, featuring teamwork, live industry briefs and opportunities to network with practising professionals.
Based in London, students have access to top employers and a vibrant cultural life including world-leading museums, galleries, libraries and music venues.

Subject rankings

  • Subject ranking

    Computer Science

    82nd out of 114 11

  • Entry standards

    / Max 236
    115 49%

    88th

    4

  • Graduate prospects

    / Max 100
    71.0 71%

    81st

    1

  • Student satisfaction

    / Max 5
    3.74 75%

    65th

    8

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!