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Home > Study in UK > University of Westminster - Cavendish Campus > Bachelor of Arts (Honours) in Data Science and Analytics (with Placement Year)

Bachelor of Arts (Honours) in Data Science and Analytics (with Placement Year) University of Westminster - Cavendish Campus University of Westminster - Cavendish Campus, UK

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GBP 17000

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

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48 months

Duration

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6

IELTS

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78

TOEFL

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58%

Min GPA

Program Overview

Our Data Science and Analytics BSc will give you the combination of analytical, technical and presentation skills to convert data into valuable insights.

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 involves 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.

Studying our course, you'll develop knowledge of the fundamental principles and technologies that underpin the disciplines of maths, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You'll learn how to apply cutting-edge maths, 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. 

Top reasons to study with us

  • Master key data science skills – You’ll learn how to make sense of data using various machine learning algorithms and statistical techniques, and how to use top programming languages such as R and Python for a career in Data Science and Analytics
  • Boost your employability – You’ll have the opportunity to experience work-based learning including working for a year in industry, gaining skills that’ll give you an edge in the graduate market
  • Use state-of-the-art computing facilities – You’ll have access to 34 specialist labs, various Operating Systems (Windows 10, Unix, Linux and Mac OSX), Microsoft development software for free, and VR hardware available in our labs to develop with
  • Develop in-demand skills – Data analysis is a growing industry, with governments and businesses in need of professionals who can analyse data to support key decision-making
  • Learn the fundamentals – You'll graduate with knowledge of the fundamental principles and technologies that underpin maths, statistics and computing
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Additional Information

Program Level 4-Year Bachelor's Degree

College/University Processing Time 49 Days

Program Format Full-Time

Post-Study Work Visa (PSWV) work permit

Program Intake

Open

Sep 2025

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, students must have Standard XII Higher Secondary Certificate.

    6 IELTS Score
    78 TOEFL Score Minimum Overall Score
    59 PTE Score Minimum Overall Score
    58% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    17000

    Tuition Fee
    (GBP)

     Free

    Application Fee
    (GBP)

    12006 Per year

    Average Cost of Living
    (GBP)

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

    Check program website for more information about funding options.

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