Applicants are expected to have obtained an Honours degree in a technology-related subject, with at least a 2:2 (Second Class) classification. Students with a business or management degree will be considered if there has been a substantial element of computing within the degree programme. Students who do not hold the standard entry requirements may be considered for admission provided they can demonstrate that their qualifications and/or industrial experience are equivalent.
Months of entry
This course will provide you with an insight into areas of data mining, big data management, and advanced statistics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics. You will use these to effectively model complex organisational requirements and propose suitable solutions.
The demand for big data analysis and management is continually increasing in business and computer science. For companies it can provide valuable insights, and results such as increased market share, profitability, possible cost savings and procedural efficiency. This course will equip you with the necessary skills to exploit big data tools and methods in order to drive innovation and growth in modern global organisations and society.
The learning activities on this course are designed to encourage and facilitate your ability to gain employment and sustain a professional career in data analytics by building your confidence and skills through hands-on experience and structured feedback. The course combines formal lectures and tutor-led workshops with independent study. You will develop key analytical and problem-solving skills, and will gain an aptitude for research, academic writing, and time management.
Technology enhanced learning will be used through the provision of online resources and discussion forums. Teaching will be conducted in a work-related context and you will work collaboratively with tutors, researchers, and businesses to prepare you for employment.
Potential careers for Big Data Analytics graduates include roles in data science, data warehousing, consultancy, data security and data administration.
- Previous graduates have progressed into roles with established companies such as Hewlett Packard, BT, Capgemini, Cisco, IBM and more.
- We provide research-led, practice-driven teaching underpinned by our versatile research projects and strong industry links.
Information for international students
The University accepts a wide range of overseas qualifications. To find out if your current qualifications are comparable to British standards, please contact the National Academic Recognition Information Centre (NARIC) or the International Admissions Office, telephone 0121 331 5162 or email email@example.com. International Students can apply on-line on the website.
Fees and funding
Qualification and course duration
Course contact details
- Course Enquiries Team
- +44 (0)121 331 5595
- +44 (0)121 331 7994