Data Science and Analytics BSc (Hons)

Overview

Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.

On this BSc (Hons) Data Science and Analytics degree course, you’ll learn the technical and analytical skills to make sense of the vast amounts of data available to organisations while working within the regulatory and technical boundaries of the field.

After the course, you’ll be prepared for roles such as data analyst, data scientist, systems developer and systems analyst.

On this degree course, you’ll:

  • Learn to use databases, systems and analytical tools to generate insights and intelligence
  • Get a deep understanding of modern big data, machine learning and data mining methods
  • Identify trends, patterns and correlations to benefit businesses, like targeting new products or increasing sales
  • Develop commercial skills, focusing on how to present and visualise your findings
  • Apply your analytical abilities to practical problems and real-world datasets, such as our research in cosmology, health information and cyber security
  • Have access and training in our new SAP Next-Gen Lab

What you'll study:

Each module on this course is worth a certain number of credits.

In each year, you need to study modules worth a total of 120 credits. For example, 4 modules worth 20 credits and 1 module worth 40 credits.

Year 1

Core modules in this year include:

  • Architecture and Operating Systems
  • Core Computing Concepts
  • Database Systems Development
  • Practical Data Science
  • Programming

There are no optional modules in this year.

Year 2

Core modules in this year include:

  • Applied Machine Learning and Data Mining
  • Big Data
  • Data Structures and Algorithms
  • Database Principles
  • Software Engineering Theory and Practice

Optional modules in this year currently include:

  • 3D Computer Graphics and Animation
  • Computing Undergraduate Ambassador
  • Ethical Hacking
  • Institution-wide Language Program
  • Virtualisation and Cloud Computing
  • Web Programming

Optional placement year

After your second year, you can do an optional work placement year to get valuable longer-term work experience in the industry.

Previous students have completed work placements at well-known companies, such as:

  • IBM
  • UKCloud
  • Intel

We’ll help you secure a work placement that fits your aspirations. You’ll get mentoring and support throughout the year.

Year 3

Core modules in this year include:

  • Business Analytics
  • Open Innvations in Data Science

Optional modules in this year currently include:

  • Distributed Systems and Security
  • Enterprise Web Architectures
  • Final Year Study Project
  • Fuzzy Systems and Networks
  • Individual Project (Engineering)
  • Malware Forensics
  • Neural Networks and Genetic Algorithms
  • Professional and Academic Research Development
  • Robotics
  • Security and Cryptography

How you're assessed

You’ll be assessed through:

  • written assignments
  • presentations
  • group and individual lab-based assessments
  • projects

You’ll be able to test your skills and knowledge informally before you do assessments that count towards your final mark.

You can get feedback on all practice and formal assessments so you can improve in the future.

Careers and opportunities

When you finish the course, you'll be equipped for a career in the data analytics and deep learning industry. You could work for multinational companies, small and medium enterprises, and innovation centres.

What jobs can you do with a Data Science and Analytics degree?

Previous students have gone on to work as:

  • data analysts
  • data engineers
  • data architects
  • information analysts

Other graduates have continued their studies at postgraduate level or set up successful businesses with help and support from the University.

After you leave the University, you can get help, advice and support for up to 5 years from our Careers and Employability service as you advance in your career.

BSc (Hons), BSc (Hons) Award
September Start
Full-time, Sandwich Study Mode
3 years Duration
I1G3, I1G3 UCAS Code

Entry Requirements For This Course

104-120 points to include a minimum of 2 A levels, or equivalent.

English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

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