Why study this course
This interdisciplinary degree combines core mathematical techniques with modern applications in the fields of modelling, computing and data science
With the support of dedicated staff you will become an expert in extracting insights from large datasets, opening doors to careers in a wide variety of industries such as business, finance and the technology sector
Optional modules will be offered that support particular strands of interest and graduate employment
The final year project based on real world datasets will allow you to develop project management and leadership skills while exploring an area of your interest
Course summary
The BSc (Hons) Mathematics, Computing and Data Science degree programme combines core mathematical techniques with contemporary applications in the fields of computing and data science. You will develop deep conceptual understanding of a range of mathematical topics and learn to apply appropriate mathematical and programming tools to solve real life problems in the field of data science.
Please note - this course is not available for September 2023, but is open for applications for September 2024 onwards.
Key facts
|
Award |
BSc (Hons) |
|---|---|
|
UCAS code |
GG01 |
|
Duration |
3 Years |
|
Mode of study |
Full-time |
|
Start date |
September |
|
Awarding institution |
Bishop Grosseteste University |
|
Institution code |
B38 |
About this course
Mathematics, Computing and Data Science graduates are in high demand and join various employment sectors, including teaching, finance, technology and consultancy. During this course, you will experience handling large and complex datasets, apply statistical and probabilistic methods and engage with more advanced applications in the fields of machine learning and artificial intelligence. Throughout your degree you will have opportunities to explore data science ethics and information security. The programme is designed to develop personal attributes that employers value, including good interpersonal skills and leadership. It provides an excellent foundation for postgraduate study, enabling students to progress into high-skilled employment or research.
Entry requirements
You will normally need 96-112 UCAS tariff points (from a maximum of four Advanced Level qualifications).
You will also need A-Level Mathematics at grade D or above. We welcome a range of qualifications that meet this requirement, such as A/AS Levels, BTEC, Access Courses, International Baccalaureate (IB), Cambridge Pre-U, Extended Project etc.
However this list is not exhaustive – please click here for details of all qualifications in the UCAS tariff.
Further information
In accordance with University conditions, students are entitled to apply for Recognition of Prior Learning, RP(C)L, based on relevant credit at another HE institution or credit Awarded for Experiential Learning, (RP(E)L).
How you will be taught
There is no one-size-fits-all method of teaching at BGU – we shape our methods to suit each subject and each group, combining the best aspects of traditional university teaching with innovative techniques to promote student participation and interactivity.
You will be taught in a variety of ways, from lectures, tutorials and seminars, to practical workshops and coursework. Small group seminars and workshops will provide you with an opportunity to review issues raised in lectures, and you will be expected to carry out independent study.
The final year capstone project will allow students to develop a data science project around real-world datasets. It gives students the opportunity to apply acquired knowledge and skills, and demonstrate the ability to undertake an individual project through investigative research, problem-solving, effective communication and management.
Graduates on this programme develop a range of skills transferable to graduate careers. These include:
• communication – oral, visual and written
• understanding and using data
• problem-solving
• leadership and decision making
Academic staff
Assessment
Modules are assessed through a combination of coursework, exam, oral presentation, practical project work, portfolio and debate. The programme also includes regular tests which will be marked by module leaders but will not count for progression or the final award.
Careers & Further study
This degree offers a firm base for students to enter a variety of career pathways including but not limited to education-related, finance, data analyst, software developer. The ability to critically analyse and solve a problem using mathematical and computing tools, formulate a considered response, create an argument and generate new ideas, lend themselves well to careers in the technical industries, the finance sector, government administration and education.
What Our Students Say
Discover what life is like at Bishop Grosseteste University from our students.
Support
Studying at BGU is a student-centred experience. Staff and students work together in a friendly and supportive atmosphere as part of an intimate campus community. You will know every member of staff personally and feel confident approaching them for help and advice, and staff members will recognise you, not just by sight, but as an individual with unique talents and interests.
We will be there to support you, personally and academically, from induction to graduation.
Fees & Finance
A lot of student finance information is available from numerous sources, but it is sometimes confusing and contradictory. That’s why at BGU we try to give you all the information and support we can to help to throughout the process. Our Student Advice team are experts in helping you sort out the funding arrangements for your studies, offering a range of services to guide you through all aspects of student finance step by step.
Undergraduate course applicants must apply via UCAS using the relevant UCAS code. For 2023 entry, the application fee is £27, and you can make a maximum of 6 choices. For 2024 entry the application fee is £27.50.
For all applicants, there are full instructions at UCAS to make it as easy as possible for you to fill in your online application, plus help text where appropriate.
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