Keele Undergraduate Prospectus 2021 2021 | Page 107

Computer Science and Mathematics | 107
D ATA S C I E N C E
BSc (Hons)
Why study this course?
From same-day deliveries to self-driving cars, today's global society is powered by AI and
big data. Keele's Data Science programme gives you a deeper understanding and the
practical skills for a career with significant impact in the modern world.
Our Data Science graduates are trained from first principles in Computer
Science and Mathematics.
The two disciplines are blended seamlessly throughout your degree. You
will study fundamental mathematical and statistical techniques alongside
modern software development methods. You will have the opportunity to
apply your learning immediately using real-world datasets in our cutting-
edge computing laboratories.
You will undertake significant development projects, including a final
year data science dissertation led by academics with research specialities
in artificial intelligence, big data and statistical modelling. Additional
modules that cover advanced technical topics such as cloud computing,
as well as academic research, industry-focused professional skills and
practical problem-solving ensure you are fully equipped for an exciting and
intellectually stimulating journey as a Data Scientist.
What will this mean for my future?
Dubbed the career of the future, demand for data scientists in the industry
continues to grow apace. From programming in Python and R, through
to large-scale data engineering and working on the latest deep-learning
research in applied settings, Keele's programme delivers the necessary skills
to choose a pathway through this career with confidence.
Graduates can go on to work in diverse industries such as finance,
healthcare, transport, business intelligence and e-commerce, as well as
further academic study. Additional experience of research and self-directed
learning gives our students the broader abilities needed to respond to the
latest developments in this fast-changing field in the years ahead.
Indicative Modules
First Year
• Introduction to Data Science
• Statistics for Data Science
• Algebra and Calculus for Data Science
• Programming Fundamentals
• Algorithms and Data Structures
• Professional Skills in Data Science
Second Year
• Probability
• Artificial and Computational
Intelligence I
• Linear Statistical Models
• Databases
• Statistical Programming for
Data Analysis
• Visualisation for Data Science
Third Year
• Machine Learning Applications
• Deep Learning
• Data Mining
• Artificial and Computational
Intelligence II
• Medical Statistics
• Data Science Project
Our Data Science degree is also great preparation for employment in
related fields including consultancy, software development, accountancy,
engineering and teaching.
Foundation Year
Yes
Subject to Validation
Yes
Indicative Entry
Requirements
Single Honours
A level: ABC/BBB
BTEC: DDM
Combined Honours
A level: ABC/BBB
BTEC: DDM
Course Duration
3 years or 4 years
with an international
or placement year
Placement Year
Yes
Study abroad
Yes
International Year
Yes
Learn a Language
Yes
For information on courses that combine subjects please visit keele.ac.uk/ugcourses