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MSc Artificial Intelligence & Data Analytics
Northeastern University London, London,, United Kingdom
12 monthsProgram duration
01 Aug, 2024Application Deadline
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc Artificial Intelligence and Data Analytics 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.
Degree Overview
The MSc Artificial Intelligence and Data Analytics will develop professional practice, contextualised to the relevant business environment using industry-standard technologies and approaches that are shaped by modern businesses. Students studying this programme are likely to be working, or aspiring to work, in roles that focus on the AI and data analytics aspect within a business context. They will learn how to analyse and interpret data to identify trends and patterns, using statistical and visualisation tools, to provide insights that can be used to improve business processes, operations, and decision-making.
The MSc award is 180 credits. Each course, typically 15 or 20 credits, is assessed by a range of activities aligned to industry norms, meaning that almost all assessments align with typical activities that are expected in a data-related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc Artificial Intelligence and Data Analytics 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.
Degree Overview
The MSc Artificial Intelligence and Data Analytics will develop professional practice, contextualised to the relevant business environment using industry-standard technologies and approaches that are shaped by modern businesses. Students studying this programme are likely to be working, or aspiring to work, in roles that focus on the AI and data analytics aspect within a business context. They will learn how to analyse and interpret data to identify trends and patterns, using statistical and visualisation tools, to provide insights that can be used to improve business processes, operations, and decision-making.
The MSc award is 180 credits. Each course, typically 15 or 20 credits, is assessed by a range of activities aligned to industry norms, meaning that almost all assessments align with typical activities that are expected in a data-related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses.
Admission requirements
Important Dates
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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Postgraduate study at NU London is distinguished by, among other things, very small, highly interactive classes, and access to the best study and research resources at Senate House Library and expert Professors.
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