Big Data Analytics Msc

Big Data Analytics Msc

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 Masters in Data Analytics degree 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: 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.

Entry Requirements

  • In order to be considered for a place on this course, you must have passed a honours degree at minimum of 2:2 or equivalent. .
  • Students with a business or management degree will be considered, if there has been a substantial element of computing within the degree programme.
  • International applicants are required to have IELTS overall band of 6.0 or equivalent.

Career Prospects

This course is suitable for undergraduates and those who have worked in the industry but do not have the recognised qualifications.

The school boasts graduates who have gone on to work for Hewlett Packard, Bell Micro, Birmingham City Council, BT, Cap Gemini, Cisco, Deloitte, Ericsson, Fujitsu, IBM, Intel Corporation, NHS, Motorola, National Express, NEC, Royal Mail, Shell IT, JP Morgan Chase and Co, Carillion plc, Siemens and Nokia and many more.

Course Details


Modern Optimisation20 credits
Applied Statistics 20 credits
Advanced Databases 20 credits
Big Data Management 20 credits
Data Mining 20 credits
Web Social Media Analytics and Visualisation 20 credits
Individual Master’s Project 60 credits

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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