- MSc Big Data and Data Science Technology With Advanced Practice

Northumbria University London

MSc Big Data and Data Science Technology With Advanced Practice

The demand for data scientists is ever rising. A report by Harvard Business Review suggests that the shortage of data scientists has become a serious constraint in certain sectors, leading the authors to claim Data Scientist as the Sexiest Job of the 21st Century.

Data Scientists carry out applied research to create innovative data-driven solutions to business problems. Usually, they work with large, complex, varied, and unstructured data sets that are not suitable for using traditional data analysis approaches and techniques. This programme is specifically designed to enable you to develop this in-depth technical knowledge that will allow you to discover new data-driven solutions.

Key facts

  • Develop in-demand skills to work in a range of roles in the IT industry
  • Enhance your knowledge in the application of programming language, big data and machine learning on cloud
  • The Advanced Practice includes an Internship or Group Consultancy Project, enhancing your employability with all-important work experience
  • This programme has been designed to meet the accreditation criteria of BCS, the Chartered Institute for IT for the purposes of meeting the academic requirement for registration as a Chartered IT Professional
  • Upon completion of your programme, you will be eligible for the QA Professional Pathways programmes which will enable you to further develop your skills with one of the UK’s largest providers of IT and project management training

Entry Requirements

Academic requirements

  • Minimum 2:2 honours degree, or equivalent in any subject

If you don’t meet the academic requirements

Applicants who are not graduates and do not hold professional qualifications of equivalent standing can also be considered for entry if they show evidence of strong motivation and capability for academic study and personal development (e.g. evidence of attendance at short courses) and/or suitable experience of working in areas which involve a significant amount of Information Technology..

English language requirements

  • Students require an IELTS 6.5, with no single element below 5.5, or equivalent.

Career Prospects

This Master’s programme has been designed to ensure that graduates will be equipped to work in a variety of careers in the IT industry or to progress to academic or research-orientated careers. Indeed, the qualification is designed to accelerate your skills and competence in a range of job roles, including roles in leadership and management such as:

Machine Learning Engineer

Data Engineer

Business Analyst

Data and Analytics Manager

Business Intelligence Analyst

AI Cloud Architect

Data Architect

Furthermore, this programme will prepare you to meet the educational requirements of the BCS, The Chartered Institute for IT for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.

Course Details

All modules on this course are core and 20 credits unless otherwise stated.

Year 1

Information Governance and Cyber Security
Leadership in a Digital Age
Applied Data Science
Academic Language Skills for Computer and Information Sciences (0 credits)
Research Methods for Professional Practice
Big Data Analytics
Machine Learning on Cloud
Computing and Digital Technologies Project (60 credits)

Advanced Practice Stage

You will choose one of the following modules:
Engineering and Environment Advanced Practice London Campus – Consultancy Project (60 credits)
Engineering and Environment Advanced Practice London Campus – Research Project (60 credits)
Engineering and Environment Advanced Practice London Campus Internship (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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