MSc Big Data and Data Science Technology

at Northumbria University - London

• Develop in-demand skills essential for various roles within the IT industry, ensuring versatility and adaptability.
• Enhance your proficiency in programming languages, big data, and machine learning applications on cloud platforms, staying at the forefront of technological advancements.
• Participate in the Advanced Practice option, featuring an internship or group consultancy project, to gain invaluable work experience and enhance employability.
• Aligned with the accreditation criteria of BCS, the Chartered Institute for IT, ensuring eligibility for registration as a Chartered IT Professional and enhancing professional recognition.

Modules 

• 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)

Important Dates

The programme commences in January, May and September. Prospective students should regularly check the university's website for any updates regarding the application process. Although applications can be submitted through UCAS, students should ensure they have all required documents prepared in advance.

• A minimum second class honours degree (2:2) or higher, or its equivalent in any subject, is required.
• An IELTS score of 6.5, with no individual component scoring below 5.5, or an equivalent qualification, is necessary.

The MSc Big Data and Data Science Technology fees are £19,750/Yr . Students should thoroughly review the university's website, evaluate associated costs, and explore potential financial assistance options to make well-informed decisions.

Graduates of the MSc Big Data and Data Science Technology programme are well-positioned for diverse career opportunities in the rapidly evolving field of data science and big data technology. Additionally, opportunities for further academic research or advanced studies in data science are also available for graduates of this programme.