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BSc Data Science

Liverpool Hope University, United Kingdom
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Course Overview

There is a large and increasing skills gap in the data science industry; demand for workers with specialist data skills, like data scientists and data engineers, has more than tripled over the previous five years. According to the Tech Partnership, the UK sector skills council for information technology, 96% of organizations reported a skills gap, and 85% of hard-to-fill positions are difficult to recruit because of a lack of specialist skills, with big data analytics identified as a critical skills gap. A degree in Data Science will equip you with the skills needed to work in areas of industry that deal with large datasets. You will learn how to extract and analyze data and interpret that data from the analysis done. These are skills in demand in many areas of industry and the world in general. Recent advances in computational power, machine intelligence, and the massive growth in data sources have led to the development of a relatively new area of Data Science. Almost every communication or interaction involves a digital interface, whether a computer, a laptop, a cell phone, a smart card, a camera, or a sensor. All of the information from these interactions is stored as data, which can be mined to make better decisions, systems, and research. This course focuses on areas such as Big Data, Numerical Analysis, Cloud Computing, Statistics & Statistical Programming, Artificial Intelligence, the Internet of Things, Mobile Computing, and High-Performance Computing.

General Eligibility

A-Levels Mathematics

UCAS Tariff Points 112 UCAS Tariff points must come from a minimum of two A Levels (or equivalent). Additional points can be made up from a range of alternative qualifications.

BTEC DMM

Access to HE 112 Tariff Points

IB 28

Irish Leaving Certificate 112 Tariff Points from Higher Level qualifications only.

Welsh Baccalaureate This qualification can only be accepted in conjunction with other relevant qualifications.

Subject Requirements Mathematics at A-Level

Part Time Work Details

20 hours of work permit weekly for international students.

What You'll Study

1 Year 1
  • Mathematical Thinking: Logic, proofs, numbers, set theory

  • Calculus

  • Complex Numbers

  • Differential Equations

  • Linear Algebra

  • Statistics

  • Introduction to mathematical and statistical programming

  • Introduction to software engineering: algorithm design, programming, source control, documentation

  • computational methods

  • Database technology

2 Year 2
  • Multivariable Calculus

  • Further Linear Algebra

  • Number Theory with applications to Coding Theory

  • Differential Geometry

  • Further Statistics

  • R programming

  • Probability

  • Graph Theory & Discrete Mathematics

  • Software development

  • Networks

3 Year 3
  • Statistical Modelling

  • Network Science

  • Semantics / Knowledge Representation

  • Numerical Analysis

  • Machine Learning and AI

  • High-Performance Computing

  • Computer Vision

  • Cloud Computing

  • Game Technology

  • Big Data

  • Natural Language Processing

Language Requirement

  • IELTS5.5
  • TOEFL59
  • PTE50
  • Duolingo69

IELTS

6.0 overall (with reading and writing at 6.0) and no individual score lower than 5.5. We also accept a wide range of International Qualifications.

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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