Course summary
Learn how to use the latest tools and technologies to interpret and manipulate data on this exciting new course.
- Learn how to acquire, store, manage and use data to make decisions using innovative technologies.
- Gain a solid foundation in the latest tools and technologies for a career in Computer Science.
- You’ll learn by doing, experimenting and exploring in this practical, hands-on course.
Modules
Year one Strong fundamentals. You'll start with an induction to computer science through computer systems architecture, networking, and learning about the ideas behind modern computing innovations. Programming skills and software design principles form the second pillar which enables more sophisticated projects throughout the course. The year ends with developing knowledge around data storage and management across the Internet. The first year is common across Computer Science, which means you can transfer easily between pathways for the second year. Year two Start manipulating data. Your second year of study introduces first data analytics modules. You'll learn how data is obtained, stored and retrieved. You'll deepen your understanding of core computer science and software development. You'll learn about object-oriented programming, an understanding of computing algorithms and associated data structures. You'll cover software engineering, and the introduction of Artificial Intelligence - an essential tool for converting raw data into valuable information. You'll be able to explore your interests with optional modules on topics such as physical computing projects (Arduino, Raspberry Pi), computer graphics or data visualisations. Year three Professional Placement. Year four Develop the expertise needed for strategic decision making, and showcase what you've learned. The final year centres on a major project where you'll apply technical expertise learnt from previous years and modules. You’ll also go further into using AI to understand data and discover insights. You'll finish the year with Cyber Security and another optional module aligned with personal interests. This year provides the opportunity to highlight your professionalism, data manipulation skills and ability to expand your knowledge.
Assessment method
The assessment of BSc (Hons) Computer Science (Data Analytics) mainly involves coursework and project-based evaluation. You’ll design and develop a varied collection of digital solutions including prototype software solutions, experimental interfaces, algorithm designs. Project assignments are complemented by contextual essays, reflective commentaries, reports, examinations, and presentations. On your return to University for your final year, you'll submit your Placement Portfolio, detailing your development on your placement.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- CS22
- Institution code:
- B20
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
A level - BBC
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDM - DMM
Access to HE Diploma - M: 45 credits
International Baccalaureate Diploma Programme - 32 points
T Level - M
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6 | IELTS 6.0 - for visa nationals, with a minimum score of IELTS 5.5 in each element. |
Student Outcomes
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
Channel Islands | £9535 | Year 1 |
Republic of Ireland | £9535 | Year 1 |
England | £9535 | Year 1 |
Northern Ireland | £9535 | Year 1 |
Scotland | £9535 | Year 1 |
Wales | £9535 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Bath Spa University
Newton Park
Newton St Loe
Bath
BA2 9BN