BSc in Data Science and Computing with Foundation Year
Programme Overview
The BSc Data Science and Computing with Foundation Year is designed for applicants who do not meet the entry requirements for direct entry to an undergraduate degree, who do not feel they are quite ready for an undergraduate degree, or who are returning to study after a significant break and need extra help and support.
The foundation year element of the Programme provides the core knowledge and skills required for the successful study of Data Science and Computing at undergraduate level. It includes modules covering introductory, subject-specific areas such as IT, Computing and Programming. It also includes more general generic skills modules, covering approaches to study, academic writing and working in teams. Successful completion of the foundation year enables students to progress to the BSc element of the Programme.
The BSC element of the Programme aims to develop the knowledge, technical skills, and self-directed learning skills required by employers in the fast-evolving world of Data Science and Computing. The primary focus is on developing strong data analytics programming and software engineering skills. Emphasis is also placed on exploring the socio, ethical and legal aspects of Data Science and Computing. At the end of the BSc element of the Programme, students carry out a complex, real-world project.
Aims
To develop knowledge, technical skills and self-directed learning skills in Data Science and Computing, providing an excellent grounding for working as a data scientist or analyst in industry. With a broad coverage of knowledge of Mathematics and Computing relevant to Data Science, the Programme has strong emphasis on programming and software engineering skills and their interplay with Data Science.
Entry requirements
48 UCAS Points. The UCAS tariff score is applicable to you if you have recently studied a qualification that has a UCAS tariff equivalence.
We welcome applicants without traditional entry qualifications as we base decisions on our own assessment of qualifications, knowledge and previous work experience. If you have no previous formal qualifications you will need to complete an admission test, which includes English and Mathematics components.
Applicants are expected to have GCSE grade C or new grade 4, or equivalent, in English and mathematics.
How to apply
All applications must be made through UCAS
Modules
Compulsory
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Lecturer(s): Paul Newman, Jerry Smallwood
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Lecturer(s): Paul Newman, Ian Hollender
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Lecturer(s): Donal Fernandes
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Lecturer(s): Oded Lachish, Paul Newman
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Lecturer(s): Tingting Han
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Lecturer(s): Keith Mannock
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Lecturer(s): Felix Reidl
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Lecturer(s): Roman Kontchakov, Carsten Fuhs
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Lecturer(s): Felix Reidl, Dimitrios Airantzis
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Lecturer(s): Brian Gannon
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Lecturer(s): Paul Yoo
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Lecturer(s): Taolue Chen
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Lecturer(s): Igor Razgon
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Lecturer(s): Jan Hidders
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Lecturer(s): Andrea Calì
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Lecturer(s): Andrea Calì
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Lecturer(s): Igor Razgon
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Lecturer(s): Cen Wan
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Lecturer(s): Peter Wood
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Lecturer(s): Alessandro Provetti
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Lecturer(s): George Magoulas
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Optional
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Lecturer(s): Chris Maigler
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Lecturer(s): Department of Economics, Mathematics and Statistics
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Lecturer(s): Stelios Sotiriadis
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Lecturer(s): George Roussos
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Lecturer(s): Michael Zakharyaschev
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Lecturer(s): Tobi Brodie, Ian Hollender
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Lecturer(s): Tobi Brodie, Marcel Krajca
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Lecturer(s): Paul Yoo
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Lecturer(s): Keith Mannock, Trevor Fenner
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Lecturer(s): Carsten Fuhs, Roman Kontchakov
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Lecturer(s): Keith Mannock
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Lecturer(s): Donal Fernandes, Marcel Krajca
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Lecturer(s): George Roussos