Students are employed in full-time work throughout their course of studies and combine course learning with work-based learning, modules are undertaken sequentially rather than in parallel.
Year 1
Introduction to the data analytics lifecycle including data preparation, exploration and visualisation; principles of statistical and mathematical techniques for data analysis and problem solving; fundamental programming principles; transferable professional skills.
Year 2
Application of data mining techniques; advanced programming including modelling, design, implementation and testing of systems; database design principles and developing a relational database; security threats against information systems; the understanding of ethical and legal issues related to the IT business environment.
Year 3
Design, implementation and evaluation of scalable program solutions using a big data computation framework; use of business intelligence tools to support decision making; development of data warehousing solutions; application of machine learning and artificial intelligence techniques to solve real-world problems; creative idea generation and entrepreneurial skills to start or grow a business through digital transformation.
Year 4
Undertake a substantial professional computing project in data science; principles and practices underlying the retrieval, extraction and mining of text data, including web data; architecting and developing cloud-based applications; keep abreast of the latest trends in techniques and applications of data science at the forefront of technology.
2025 entry requirements
4 Highers at BBBC.
You must be in (or in process of looking for) a GA position with an employer; contact institution for further information.
September
Degree
BSc Hons
Full time
TBC
4-5 years
School of Computing
10
