Data Science

What will you study?
You will be introduced to the concept, develop
an understanding of data science and
machine learning, and hear from experts
on data science applications. The course
includes both theory and practice on the
exciting methods and techniques currently
employed in industry to address the world’s
real problems.

During this course, you will:
• Develop an understanding of data analysis,
AI and machine learning for data science.
• Develop an understanding of exploratory
data analysis and visualisation.
• Understand the real-world applications in
data science.
• Get an insight into advances in data
science.

Course leader

Computing, Engineering and the Built Environment

Target group

University students

English language requirement: No formal qualification required; however all classes will be taught in English

Academic pre requisites: Level 3 or equivalent

Course aim

This course aims to introduce the quantitative
analysis of data, blending classical
statistical methods with recent advances in
computational and machine learning. You will
cover key topics such as the challenges of
analysing big data using statistical methods,
and how machine learning and data science
can aid in knowledge generation.

Credits info

Practice based - non credit bearing

Fee info

GBP 2200: WHAT IS INCLUDED IN YOUR FEE?
• Academic course
• Accommodation for three weeks
• Birmingham airport pick-up and
drop-off
• Cultural visits to London, Bath and
York
• Programme of social events
• International Summer School T-shirt

*Please note travel to the UK, visa costs and other personal
travel and living expenses are not included e.g. meals.
There are many shops, canteens, cafes, and restaurants
on or near the campus. We suggest that students should
budget a figure of approximately £10 50 per day for
additional food and drink.

Scholarships

None