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Data Science & Engineering MSc

Different course options

Study mode

Full time

Duration

15 months

Start date

SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science

Course type

Taught

Course Summary

From the websites you browse to the places you visit; data is being gathered every second of every day. With so much data to analyse, data engineers are in high demand to ensure that companies have the infrastructure they need to successfully analyse it. It’s the Data Engineer’s job to make sure that Data Scientists have access to the clean data they need to do their job and to deploy the solutions they produce. Within this course you will develop your skills, knowledge and understanding of both data engineering and data science whilst learning to store, manage and analyse large sets of data. You will study a range of modules, learning to work with the cloud providers (AWS, Azure GCloud etc) to build robust data systems, an introduction to machine learning, data models for analysis and how to store data at scale. You will learn about data visualisation to tell the story of your data and build systems to clean and analyse large data sets.

You will work with SQL and NoSQL databases, learn how to use parallel data analysis software, such as Spark, Flink and learn how to integrate these into continuous deployment and integration development systems.

Working alongside, and learning from, a range of leading researchers and tutors, including vision and imaging researchers, business intelligence experts, and industrial and research data scientists, you will develop your understanding of the real-life situations you could face in your career.

Under the guidance of our academic staff, you will also undertake a research project. Recent projects examples have looked at integrating third party market data to increase sales in the drinks industry, providing access to Citizen Science data through a microservice architecture and Diagnosing Skin Cancer using Artificial Intelligence and Deep Learning.

Careers:

You will gain the skills to meet industry standards and requirements, meaning that you will be able to work in a number of areas including:

  • cloud and web based industries such as publishing, messaging services, data aggregators and advertising
  • the health industry, in areas such as the NHS or private medical practices
  • the computer games industry

Modules

The aim of this module is to provide you with an understanding and knowledge of research methods, relevant in the context of computing. You will learn about: Quantitative methods; Qualitative methods; Empirical research methods; Project preparation; Research ethics; Research dissemination.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,100

International fees
Course fees for EU and international students

For this course (per year)

£25,300

Entry requirements

Applicants should normally have an Honours degree at 2.2 level or above in computing or a related subject that contains the necessary background knowledge, including Mathematics, to undertake the course.