BSc Computing with Data Science and Big Data Technology (Top-up)

The BSc (Hons) Computing with Data Science and Big Data Technology develops advanced computing, data analytics, and cloud computing skills for the modern digital economy. Students gain practical experience in programming, machine learning, and big data technologies, preparing them for careers in data science, business intelligence, and software development.

The BSc (Hons) Computing with Data Science and Big Data Technology equips students with a strong foundation in computing while developing specialist expertise in data science, big data technologies, and cloud-based analytics. The programme explores programming, database systems, machine learning, cloud computing, and business intelligence, enabling students to understand how large datasets can be transformed into valuable business insights. Through practical laboratory sessions, industry-focused projects, and real-world case studies, students gain hands-on experience using modern tools and technologies to solve complex data challenges. Alongside technical knowledge, the course develops analytical thinking, research, communication, and problem-solving skills that are highly valued across the technology sector. Graduates are prepared for careers in data science, big data, cloud computing, and software development, or for further postgraduate study.
Applicants can enter the programme at different stages based on their previous qualifications. Entry to Year One typically requires 112 UCAS Tariff points, together with GCSE English Language and Mathematics at Grade 4/C or an equivalent qualification. Students seeking direct entry to Year Two should normally hold an HNC or another recognised Level 4 qualification in Computing or Information Technology. Entry to Year Three is available to applicants with an HND, Foundation Degree, DipHE, or another relevant Level 5 qualification in a computing-related subject. Applicants joining at Levels 5 or 6 must also provide evidence of a Level 2 Mathematics qualification or equivalent, although exemptions may apply for previous study in relevant quantitative subjects. International applicants must also meet the University's English language requirements.
Data Scientist
Data Analyst
Big Data Engineer
Machine Learning Engineer
Cloud Engineer
Data Engineer
Business Intelligence Analyst
Cloud Solutions Architect
Software Developer
Data Architect
AI Solutions Developer
Business Intelligence Developer

Modules

Year Three
UG Project (40 credits)
Data Science and Data Analytics
Big Data Analytics
Machine Learning on Cloud

Location

London, E1 7HT. Fitzwilliam House (FH) - 10 St Mary Axe, London, EC3A 8BF.

FAQs

What our Students Say

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Exploring Course Options

For prospective students deciding which university course to enrol in, we recommend starting by evaluating your interests, strengths, and career aspirations. Consider the subjects you're passionate about and where your skills lie—choosing a course aligned with these factors can lead to a more rewarding academic and professional journey.

We can help you review course descriptions and explore unique opportunities such as internships, industry connections, and special projects. Understanding what each program offers will support you in identifying the course that best fits your career goals.

Finally, we encourage you to reflect on personal preferences such as the university’s location, campus facilities, and overall environment, as these can greatly influence your university experience.

Student Stories

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Student Stories

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