Artificial Intelligence & Data Analytics Northeastern University London

Overview

Key Features

The MSc Artificial Intelligence & Data Analytics program at Northeastern University London will enable students to specialise in AI and Data Analytics to work in an economy where this skill set is greatly needed. Students will build on their previous computational expertise and acquire the skills they need to become AI and Data specialists with commercial awareness.

By studying this programme, students will gain an in-depth understanding of the statistical and mathematical foundations of AI and achieve advanced practical knowledge of AI and machine learning methodologies applied to complex datasets to meet business objectives. Students will learn the engineering principles used to investigate and manage the design, development and deployment of new data products within a business. Students will also gain the knowledge and ability to apply the techniques applicable to data engineering, data pipelines and the design, development and deployment of scalable data solutions. Furthermore, they will gain the knowledge and skills to manage successful AI and data analytics projects through effective communication and stakeholder management skills. The comprehensive skill set will equip students with the ability to analyse data and gain insights, as well as improve problem-solving skills, critical thinking, and analytical abilities.

Suitable for recent graduates and for those looking to retrain or restart careers, the MSc Artificial Intelligence and Data Analytics provides an ideal pathway for those aspiring to further their careers in the advanced application of artificial intelligence (AI) and data analytics. Students will have the opportunity to further their career opportunities from day one of the programme by gaining professional skills as they progress.

We welcome learners from all backgrounds, and are committed to lifelong learning, pastoral support and to providing routes into digital careers for all graduates, especially those from groups that are currently underrepresented in the technology sector. Businesses need to build teams with diverse thought and experience because this is a critical factor in innovative thinking within teams and will facilitate the delivery of solutions applicable to an inclusive society.

Career Outcomes

In their daily work, an employee in this occupation interacts with a broad spectrum of people and collaborates with, and provides technical authority and insight to, a diverse business community of Senior Leaders, Data Scientists, Data Engineers, Statisticians, Analysts, Research and Development Scientists and Academics. Their interactions extend to working externally alongside other organisations, such as local and international governments, businesses, policy regulators, academic research scientists and non-technical audiences. They will work independently and collaboratively as required, reporting to Heads of Data, Chief Architects, Company Directors, Product Managers and senior decision-makers within any organisation.