Data Science (HTQ)
Buckinghamshire New University
UCAS Code: FDDS | Foundation Degree in Science - FdSc
Buckinghamshire New University
UCAS Code: FDDS | Foundation Degree in Science - FdSc
Entry requirements
A level
UCAS points can be obtained through qualifications such as A levels, T levels, BTEC or an Access to Higher Education course in a relevant subject. Please list all your qualifications on the application form as you will be asked to provide copies when we receive your application. A minimum of 2 A-levels (or equivalent) is required. Every application is considered on an individual basis.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
UCAS Tariff
About this course
Ready to dive into the dynamic world of data science? At BNU our FDSc Data Science focuses on training real-world skills, to an industry-agreed standard. This means you can graduate with the exact skillset that some of the biggest companies in the country are looking for.
If you’re looking for a course that puts you at the forefront of technology innovation and equips you with the skills looked for across industries, a Higher Technical Qualification (HTQ) in Data Science could be for you.
We live in an increasingly data-driven world, and studying an HTQ in Data Science at BNU prepares you to thrive in a rapidly changing job market. Whether you're a recent school leaver, a professional seeking to upskill, or a mature learner ready for a career change, this course equips you with the in-demand skills employers are looking for. With accreditation from prestigious bodies like the Institute of Data Analytics and the Institute for Apprenticeships and Technical Education (IfATE), you'll gain a solid foundation in data analysis, programming, and data technology, setting you on a path towards fulfilling and well-paid career opportunities.
This Higher Technical Qualification (HTQ) course course has been accredited by the Institute of Analytics. This course runs for two years with an industry-certified focus on employability and hands-on training. After graduation, you will have the option of adding an additional top-up year for a full BSc Honours degree.
This programme has been carefully designed by our industry expert academics, based on standards set by professional bodies, to provide you with the skills and abilities needed to thrive in the fast-moving software industry. This means you will graduate with the skills, knowledge, behaviours, and attributes to carve out your own career, create your own opportunities, and enable you to adapt to diverse and different professional work situations and industry needs.
Modules
**Year one**
- Computational Fundamentals
- Data Protection, Ethics, and Compliance
- Data Warehousing
- Introduction to Data Analysis Methods
- Programming Concepts
**Year two**
- Algorithms and Data Structures
- Data Essentials
- Data Visualisation and Presentation
- Information Security
- Using Programming to achieve Mathematics
Assessment methods
This HTQ programme places a strong emphasis on practical coursework, both individually and in teams, to help you to develop the skills and knowledge necessary for success in your chosen fields.
In today's world, data analysis is an essential part of every sector and industry, from healthcare to finance, from marketing to transportation, and more. Our teaching and learning methods incorporate a growing emphasis on capability, competency, and performance. This is reflected in a range of activities, including simulated workplace environments, live projects with clients, and placements, as well as newer approaches such as online evaluations, and role-playing scenarios.
Assessments are, where possible, authentic, and tied to real-world contexts and constraints, allowing you to practically show the skills you have developed.
We have incorporated, where appropriate, the use of capstone activities (to encourage you to think critically, solve challenging problems, and develop professional employability skills) when concluding the session. This brings together knowledge, practical, and analytical skills that you have developed throughout the course. This may take the form of a traditional project, practical coursework, or artefact development.
Tuition fees
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Extra funding
There are several ways you can fund your studies, including sponsorship and student loans. You may be able to use ELCAS credits for some of our courses. We also have scholarships and bursaries to help support our students.
The Uni
High Wycombe Campus
School of Creative and Digital Industries
What students say
How do students rate their degree experience?
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Information systems
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Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Information systems
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Information systems
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£18k
£23k
£35k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Higher entry requirements
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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