Data Science (including foundation year)

Why study this course
Our Data Science (including foundation year) BSc route is the perfect opportunity for you to meet the necessary entry requirements to go on to join our traditional three-year degree course. Once you have completed the foundation year for this course, you'll join the students from our Data Science BSc and begin your three-year undergraduate study. This means that you'll graduate with the same title and award as those who studied the three-year course.

More about this course
This foundation year will put you well on the way to a career in the fascinating field of data science. Your modules will cover mathematics, programming, an introduction to cyber security and more, leaving you ready to begin undergraduate study.

Our Data Science bachelor’s course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation.

Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are designed with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning.

The specialist nature of this course will allow you to explore and experience advanced techniques in data science and data analytics. You’ll acquire practical skills, often first-hand from an external organisation, which will prepare you for your future as a data scientist.

Course Modules

Foundation year:
Cyber Security Fundamentals;
Programming;
Introduction to Robotics and Internet of Things;
Mathematics

First year:
Introduction to Information Systems;
Fundamentals of Computing;
Programming;
Logic and Mathematical Techniques;
Data Analysis and Financial Maths;

Second year:
Professional Issues, Ethics and Computer Law;
Databases;
Data Science for Business;
Data Engineering;
Programming with Data;
Data Analytics;
Statistical Methods and Modelling Markets;

Third year:
Project;
Artificial Intelligence and Machine Learning;
Big Data and Visualisation;
Work-Related Learning;
Advanced Database Systems Development;
Financial Modelling and Forecasting;
Formal Methods and Software Implementation;
Cryptography and Number Theory;
Academic Independent Study;
Ethical Hacking;
Artificial Intelligence