The Data Science BSc (Hons) at the University of Chester is a full-time 3 years Undergraduate program in the field of Computing & Cybersecurity. Delivered at the University's Exton Park campus in Chester, United Kingdom, the course offers a balanced mix of academic study and practical experience.
Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a yearly competitive international tuition fee of £ 14,450 Starting each October, it is designed to equip students with essential skills for advanced study and professional growth.
The University of Chester offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the United Kingdom through this program.
Course Highlights
As data science continues to revolutionise industries, the demand for skilled graduates is soaring. The Data Science degree ensures you're not just up-to-date with these advancements but ahead of the curve. The course aims to equip you with cutting-edge skills in R, Python, SQL, and Power BI, essential for analysing and modelling data effectively, efficiently and ethically.
You'll learn to harness these technologies to drive innovative and informed decisions across diverse sectors, including business, finance, politics and healthcare. Develop your proficiency in analytical languages and visualisation tools to transform complex data into actionable insights and business plans that are accessible to both management and non-specialists.
Opting for a degree with a Placement Year provides you with the invaluable opportunity to undertake a professional placement at the end of your second year. This immersive experience allows you to apply your academic knowledge in a real-world setting, gain practical insights into the workplace, and build essential connections for your future career.
By integrating hands-on experience with your studies, you'll enhance your skills, broaden your professional network and increase your employability, setting you up for success in the competitive data science field.
Course Modules
- User Centred Software Development
- Core - 40 Credits
- Fundamentals of Computing
- Core - 40 Credits
- Databases
- Core - 20 Credits
- Problem Solving with Programming
- Option - 20 Credits
- Language options
- Optional - 20 Credits
- Linear Programming and Optimisation
- Core - 20 Credits
- Ethics and Principles of Artificial Intelligence
- Core - 20 Credits
- Introduction to Stochastic Process
- Core - 20 Credits
- Data Analytics
- Core - 20 Credits
- Professional Work Placement/ Language Module/ Term Abroad
- Optional - 40 Credits
- Quality Control
- Core - 20 Credits
- Entrepreneurship and New Business Ventures
- Core - 20 Credits
- Artificial Intelligence and Machine Learning
- Core - 20 Credits
- Applied Data Science
- Core - 20 Credits
- Implementation Project
- Core - 40 Credits
Learning Structure
This course is delivered in three terms of ten weeks each. In each term, you will study 40 credits comprised of either one or two modules. Scheduled contact hours range between approximately 6 and 12 hours per week depending upon the level of study and the complexity of the material being taught.
If studied, the Foundation Year, as with the following years of study, will be taught in three 10-week blocks across an academic year. Each block will comprise of a large 40-credit subject-specific module that includes a breadth of topics and subject skills. You will have on average 12-14 hours of contact time per week during the Foundation Year. There may be variations to this where subject practical or specialist space teaching is included.
This course is delivered primarily through in-person learning supported by online learning materials. Students can expect to take part in labs, workshops, lectures and tutorials. Teaching will be delivered by experienced academics and practitioners in the subject. This will be supplemented by occasional guest lecturers and speakers.
On this course, you should expect to spend an average of 30 – 34 hours per week on independent study which might include following asynchronous learning material on the University's VLE, using the University's library, working with peers and preparing work for assessment.
There will be a broad range of assessment methods so that students are exposed to the different types of tasks they might encounter in the workplace. These will include coursework in the form of programming projects, software artefacts, portfolios of work, written work (e.g. essays) and presentations. In some modules, students will encounter class tests and practical assessments. We continuously review the assessment methods used in order that they adequately prepare students for graduate-level employment.
All teaching is delivered by experienced academics and practitioners, with the fundamental principles of the Chester Future Skills Curriculum at its core - building your subject competence, confidence, and key transferable skills to shape you into a world-ready Chester graduate.
Entry Requirements
- Higher Secondary with 75% marks, or Grade A, or GPA 4.5 (or above).
- An equivalent to UK A Level qualification.
English Language Requirements
- IELTS Academic
- Overall 6.0
- With minimum 5.5 in each components
- TOEFL iBT
- Overall 79
- Minimum in Listening: 17, Reading: 18, Speaking: 20, Writing: 17
- PTE (Pearson Test of English) Academic
- Overall 61
- With minimum 59 in each components
- LanguageCert Academic
- Overall 65
- With minimum 60 in each bands
- OIETC (Oxford International English Test Centre)
- Overall B2+
- With minimum B2 in each bands
Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, entry requirements, and other related information at any time without prior notice. We recommend verifying the latest updates directly with the university. Last reviewed on 13 August 2025.