Program Overview

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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 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.

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Tailor your degree

The Professional Placement version of the course is optional and is offered as an alternative to the standard version of the course. This will allow you to complete a credit bearing, 20 week Professional Placement as an integral part of your Master’s Degree. The purpose of the Professional Placement is to improve your employability skills which will, through the placement experience, allow you to evidence your professional skills, attitudes and behaviours at the point of entry to the postgraduate job market.

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Introducing STEAMhouse

STEAMhouse is a centre for technology, innovation, creative thinking

Our brand new £70 million pound building, STEAMhouse, will become the new home for the School of Computing and Digital Technology from the start of the 2022 academic year.

Find out more

This course is

open

to

International

students.

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Accredited By

This course is accredited by:

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.

Radhika Rajagopa

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Why Choose Us?

Research-led, practice-driven teaching

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Our teaching is

underpinned by our versatile research projects and strong industry links.

Professional placement option

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Gain desirable employability skills with the option of a

professional placement

.

Experienced academic staff

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Our academic staff have extensive professional experience and are engaged with both the government and industry in helping to solve complex problems.

E

xcellent industry partnerships

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Our previous students have gained work experience and graduate roles at companies such as: Hewlett-Packard, BT, Capgemini, Cisco, IBM and more.

C

ommitted to enhancing graduates’ employability

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We support students

through continuing professional

development and

learning in a global environment.

Established data analytics group

- which can supervise PhD projects.

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Studying with us during the Covid-19 pandemic

The University has put in place

measures in response to Covid-19

to allow us to safely deliver our courses. Should the impact of the pandemic continue in future years, any additional or alternative arrangements put in place by the University will be in accordance with the latest government public health advice, health and safety legislation, and the terms and conditions of the

student contract

.