BSc (Hons) Data Computing Intelligence with Foundation Year

at Canterbury Christ Church University

• The foundation year covers key subjects like mathematics, programming, web development, and study skills to prepare students for the degree programme. 
• In the first year of the degree, students build a strong grounding in essential computing areas such as programming, databases, computer systems, and networking. 
• The second year dives into data-focused topics like big data technologies, data mining, machine learning algorithms, and data visualisation techniques. 
• Third-year modules allow for specialisation through options like advanced machine learning, natural language processing, and data security. 
• Throughout the programme, students gain hands-onxperience with industry tools and work on data computing projects.

Course Modules

• Working with Software
• Computing in Society
• Programming Concepts
• Advanced Mathematics
• Working with Computer Hardware
• Development Project

Important Dates

Regularly check Canterbury Christ Church University's website well before the deadline. Apply four to six months before the intake, and compile required documents using a checklist. Seek help from UniScholars if needed. Students can connect with experts at UniScholars if there is any confusion in the application process ahead of time. 

• For A Levels, the specified grade is DDE, while for BTEC, it's MPP, and for Access, passing with 45 credits is required. 
• The International Baccalaureate requirement is yet to be confirmed. Qualifications can be combined to reach a minimum total of 64 UCAS points.
• The standard undergraduate programme requires an IELTS score of 6.0 overall, with each section no lower than 5.5.

Canterbury Christ Church University charges between £ 14,500/Yr to £ 16,800/yr as tuition fees for the BSc (Hons) Data Computing Intelligence with Foundation Year programme. Students are encouraged to regularly check the university's official website to remain updated on any potential changes to programme fees, as these fees are subject to annual revisions. The cost of fees may fluctuate based on factors such as the student's residential status, whether they are local or from out-of-state, and their enrollment status as either full-time or part-time.

Graduates from this data computing and intelligence degree are well-prepared for various in-demand roles across multiple sectors. Potential career paths include data analyst, data scientist, business intelligence developer, machine learning engineer, and big data engineer.