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  MSc - Big Data Analytics

Birmingham City University    Faculty of Computing, Engineering and the Built Environment

Full time & Part time September, January MSc Full-time: 12-18 months / Part-time: 20-28 months
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Computer Science (8)

FindAMasters summary

The MSc in Big Data Analytics is a dynamic programme that offers a deep understanding of data mining, big data management, and advanced statistics. Designed for those with a 2:2 honours degree or equivalent in Computing or a computing-related subject with a substantial element of programming, this course equips you with practical skills in data analytics. You'll learn to effectively model complex organizational requirements and propose innovative solutions. With a focus on employability, the course combines lectures, workshops, and online resources, allowing you to gain hands-on experience and develop key analytical and problem-solving skills. Join us to unlock the potential of big data and drive innovation in global organizations.

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

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Entry Requirements

In order to be considered for a place on this course, you must have a 2:2 honours degree, or equivalent, in Computing or a computing-related subject with a substantial element of programming.

Fees

Please see the university website for further information on fees for this course.

 Course Content

Course Content Entry Requirements Fees Where will I study? Student Profiles
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Where will I study?

Where is Birmingham City University

Student Profile

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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