Our digital universe is growing at an unprecedented pace. Both the scientific and commercial worlds are undergoing a transformation, with Data Science and Analytics, and recently also Artificial Intelligence, emerging as one of the key paradigms of scientific discovery and a competitive dimension.
This course is a response to the great and immediate need for people with data science and analytics expertise acknowledged by industry and governmental bodies. After completing the course, you will be familiar with the foundations of machine learning and statistics, the stack of recently developed technologies enabling fast processing of large amounts of data (Big Data), relevant application areas of these technologies, and efficient ways of communicating the results of whatever analysis you perform, to various audiences. The course will give you a working knowledge of main state-of-the-art techniques for intelligent data analysis, enabling you to apply them to real-world problems in a variety of contexts, gaining insights into business, scientific and other kinds of data at the same time.
Graduates with data science and advanced analytics expertise are in high demand, which is why our specialist course teaches you about the tools available for data analysis and how to interpret data to benefit the organisation. You will graduate with a working knowledge of major state-of-the-art techniques for intelligent data analysis, enabling you to effortlessly apply them to real-world problems in order to gain insight into business, scientific and other kinds of data. You will also be adept at using latest Big Data tools and technologies (e.g. Hadoop, noSQL databases), which are standard in the industry.
This course forms part of our framework of computing courses, and allows you to change your final degree title in your second year if another course within the framework best suits your needs. You will share a common first year and choose specialist units in your second and final years. The courses that form part of BU’s computing framework along with this one are:
- BSc (Hons) Business Information Technology
- BSc (Hons) Computing
- BSc (Hons) Computer Networks
- BSc (Hons) Cyber Security Management
- BSc (Hons) Forensic Computing & Security
- BSc (Hons) Information Technology Management
- BSc (Hons) Software Engineering
88% of our final year students who study computing courses agree our staff are good at explaining things – join us on live chat now to find out more, or register to meet us at an open day.
All statistics shown throughout this page are taken from Unistats, Destination of Leavers from Higher Education (DLHE), BU institutional data and Ipsos MORI (National Student Survey) unless otherwise stated
Next start date:
September 2019, September 2020
Bournemouth University, Talbot Campus
4 years full-time with a minimum 30-week placement or 3 years full-time. You will be enrolled onto the 4-year degree, but can opt out of the placement year
All subjects considered
For 2019 entry: 104 - 120 tariff points including a minimum of 2 A-levels or equivalent. BTEC Extended Diploma: DMM. For more information check out our 2019 data entry requirements.