This course is designed for those passionate about data-driven problem-solving. You’ll have the opportunity to develop knowledge and skills in mathematics, AI and machine learning which are relevant across sectors such as IT, healthcare and finance. With hands-on projects, optional placement opportunities and the potential to progress to advanced study through the integrated master’s degree in data science route, this course supports your preparation for a range of roles in data science and related fields.
Key highlights
Industry-aligned skills: develop your knowledge and skills in mathematics, statistics, modelling, programming and AI to analyse complex data. These skills are applicable across sectors where data analysis is in demand.
Practical learning: apply your knowledge in computational labs, real-world case studies and research projects. Build experience with techniques used by data analysts.
Independent research project: undertake an individual research project, supported by an academic supervisor, giving you the opportunity to explore an area of interest in depth.
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Mei 2027
Coventry (Main Campus)
Priory Street,
Coventry,
West Midlands,
CV1 5FB, CENTRAL ENGLAND, United Kingdom
* Biaya yang tercantum di halaman ini untuk tujuan indikatif, silahkan baca informasi resmi dari universitas bersangkutan
Juli 2027
Coventry (Main Campus)
Priory Street,
Coventry,
West Midlands,
CV1 5FB, CENTRAL ENGLAND, United Kingdom
UCAS points – 128, A level - ABB to include Mathematics at grade B or above. Excludes General Studies, GCSE maths and English at grade 4 / C or Functional Skills Level 2, or other equivalent Level 2 awards, BTEC - considered on an individual basis, International Baccalaureate Diploma Programme - 31 points to include 5 points in Mathematics at Higher Level, Access to HE - Considered on an individual basis.
Mungkin ada beberapa persyaratan IELTS yang berbeda, tergantung jurusan yang kamu ambil
Coventry University adalah universitas global yang modern, dan memiliki misi untuk menciptakan masa depan yang lebih baik.