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BSc (Hons) Data Analytics

University of Strathclyde, United Kingdom
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Course Overview

In the modern world information is everywhere – from the daily stream of financial data emerging from the world’s markets to worldwide internet traffic, personal health records, or simply your local newsagent’s sales figures for the last week.

Understanding this vast array of data is one of the key challenges we currently face and requires expertise in subjects such as mathematics, statistics and computing.

Data Analytics is the science of examining raw data using advanced computing technologies. It's growing to be a fundamental part of modern business and industry.

In fact, in their recent report, The Tech Partnership and SAS UK stated that “Data is the 'new oil'" and that developing talent in data analytics will allow us to refine that oil to power the UK information economy. They also reported that the demand for graduates will skills in data analytics will surge in the coming years.

Our BSc Hons in Data Analytics degree will provide you with these cutting-edge skills, enabling you to tackle problems in dynamic business environments. It will make you well placed for an exciting and rewarding career in an industry that is set to expand.

General Eligibility

A Levels

Standard entry requirements*:

Year 1 entry: BBB

(Maths)

Year 2 entry: ABB

(Maths A, Computer Science B)

International Baccalaureate

Standard entry requirements*:

Year 1 entry: 30

(Mathematics HL5)

Year 2 entry: 32

(Mathematics HL6, Computer Science HL5 including option D: Object-oriented Programming, in Java)

HNC/HND

Year 1 entry: relevant HNC with strong mathematical content, B in Graded Unit

Part Time Work Details

20 hours of work permit weekly for international students.

What You'll Study

1 Year 1
  • Machines, Languages & Computation

  • Information & Information Systems

  • Programming Foundations

  • Introduction to Calculus

  • Applications of Calculus

  • Essential Statistics

  • Geometry & Algebra

2 Year 2
  • Advanced Programming

  • Logic & Algorithms

  • User & Data Modelling

  • Probability & Statistical Inference

  • Mathematical & Statistical Computing

  • Linear Algebra

  • Multivariate Calculus

3 Year 3
  • Building Software Systems

  • Inference & Regression Modelling

  • Stochastics & Financial Econometrics

Optional classes

  • Foundations of Artificial Intelligence

  • Web Applications Development

  • Functional Programming

  • Mobile App Development

4 Year 4
  • Communicating Mathematics & Statistics

  • Individual Project

Optional classes

List A

  • Statistical Modelling & Analysis

  • Applied Statistics in Society

  • Mathematical Introduction to Networks

  • Medical Statistics

List B

  • Software Architecture & Design

  • Theory of Computation

  • Information Access & Mining

  • Advanced Functional Programming

Language Requirement

IELTS 6.0 overall (no individual band less than 5.5)

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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