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Full time & Part time See Course MSc, PgCert, PgDip Full-time: 12-18 months; Part-time: 20-28 months

About the course

The MSc Big Data Analytics 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.

What's covered in the course?

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

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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.

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.

International applicants are required to have IELTS overall band of 6.0 or equivalent.

Course Content

Where is Birmingham City University

Student Profile(s)

Radhika Rajagopa

The course is very well structured and it helped me develop the skills required in the field of Data Science. The course was inclusive and involved theoretical concepts and practical real world scenarios. I enjoyed the application of Advanced Analytics, Machine Learning and Big data technologies which improved decision making and business skills. Every course module concluded with a practice assignment that allowed me to transfer the knowledge to real life learning. The faculty was extremely supportive, always approachable and very helpful in providing timely feedback and directions to sharpen my skillsets..”

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