MSc Big Data and Data Science Technology (with Advanced Practice)

at Northumbria University - London

• Acquire in-demand skills essential for various roles within the IT industry, ensuring adaptability and readiness for diverse career opportunities.
• Deepen your understanding and application of programming languages, big data, and machine learning on cloud platforms, staying abreast of technological advancements.
• Engage in the Advanced Practice option, offering an internship or group consultancy project, to gain valuable work experience and enhance your 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 applicants are encouraged to initiate their application process promptly, ensuring ample time to fulfil requirements such as English proficiency exams (IELTS or TOEFL). It is recommended to begin preparations approximately one year in advance and submit applications about six months before the programme's start date.

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

International Tuition Fees:

£22,750

The Master’s programme is meticulously crafted to equip graduates for a myriad of opportunities within the IT industry or to pursue academic and research-oriented careers. With an emphasis on accelerating skills and competence, this qualification prepares individuals for diverse job roles, ensuring readiness for dynamic career pathways.