MSc in Data Science & Engineering

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 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, and 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 project 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.

Teaching

A range of teaching methods will be used to support your learning including:

• Lectures
• Tutorials
• Seminars by academic and industry experts
• External industry talks

Assessment

You will be assessed by:

• Written and practical coursework
• Examinations
• Presentations
• Interviews
• A research project

Modules

September start (12 months)

• Semester 1 modules (September - December)
• Semester 2 modules (January - April)
• Project (late April - early September)

January start (15 months)

• Semester 2 modules (January - April)
• Summer break (May - September)
• Semester 1 modules (September - December)
• Project (January - late March)

Core Modules

These modules are an essential part of your course.

• Introduction to Machine Learning (AC50001)
• Programming languages for Data Engineering (AC50002)
• Big Data Analysis (AC51011)
• MSc Project (AC52010)
• Research Methods (AC52012)
• Business Intelligence Systems (AC52048)

Optional Modules

You need to choose one or more of these modules as part of your course.

• Technology Innovation Management (AC51005)
• Computer Vision (AC51007)
• Devops and MicroServices (AC51041)

If you are wondering what you can do with a degree in Data Science and Data Engineering, there are many options available to you.

A degree in Data Science and Data Engineering will give you the skills and knowledge to thrive in a range of industries, 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

Besides these specific industries, you could also use your skills in a variety of other jobs, such as:

• Data analyst
• Data scientist
• Data engineer
• Machine learning engineer
• Business intelligence analyst