MSc Artificial Intelligence & Data Analytics
Northeastern University London
Key Information
Campus location
London, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
GBP 23,000 / per year *
Application deadline
01 Sep 2024
Earliest start date
01 Sep 2024
* for full-time international | international part-time tuition fees: £11,500 | home part-time tuition fees: £5,500 | home full-time tuition fees: £11,000
Introduction
Our MSc Artificial Intelligence and Data Analytics will enable students to specialize 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 program, 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 analyze 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 program 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 Opportunities
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 organizations, 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 organization.
Curriculum
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.
Part-time study
The Masters programme can be taken part-time over two years. Part-time students attend the same classes as their full-time colleagues, taking 50% of the course load each academic year.
Timetables
Timetables are usually made available to students during Freshers’ Week. Teaching can be scheduled to take place during any day of the week. However, when possible, Wednesday afternoons are usually reserved for sports and cultural activities.
Courses (Subject To Approval)
- Programming
- Data Analytics
- Mathematics and Statistics
- AI & Data Ethics
- Machine Learning
- Advanced Data Engineering
- Project Management and Communication
- MSc Dissertation Project
Admissions
Program Tuition Fee
Scholarships and Funding
September 2023 cohort
- Home: £1,500
- International: £3,500
January 2024 cohort
- Home: £1,000
- International: £2,500
Scholarships for postgraduate students
A number of scholarships of up to £3,000 are also available across all postgraduate programmes for students who fall under one of the following:
- Students from areas of low higher education participation, low household income or low socioeconomic status
- Disabled students
- Carers
- Estranged students
- Refugees
- Asylum seekers/humanitarian protection (or children of)
- Persons granted leave under the Afghan and Ukrainian resettlement schemes
Applying for Scholarships
- Apply for your Degree programme. You will need to apply by 30 April in order to receive an offer by 31 May.
- Apply for Scholarship by 23.59 on 31 May. The scholarship application will open on 6th April. Submit your application for a scholarship
- Successful candidates will be notified by 31 July. If you have not heard from us by this time, you should assume that your application is unsuccessful.
- Incomplete scholarship applications or those submitted after the deadline will not be considered.
Eligibility
- Candidates must hold either a conditional or unconditional by 31 May scholarship deadline.
- You must have achieved a 2:1 or overseas equivalent or higher.
- The scholarship is deducted directly from tuition fees payable to the university for the first year of your studies if studying full-time and pro-rata for part time students.
- Recipients cannot defer their entry and scholarship to the following year.
- The scholarship cannot be combined with any other award i.e. Alumni discount
- Preference will be given to those studying for their first postgraduate degree.
Postgraduate funding
Postgraduate Loan for masters study
The UK Government Postgraduate Loan (PGL) of up to £11,836 per student for postgraduate masters study in the UK is available for students normally residing in England. PGL will be a contribution towards the costs of study and whether the loan is used towards fees, maintenance or other costs will be at your own discretion.
There are separate loans for students domiciled in Wales, Scotland and Northern Ireland.
To determine if you are eligible for a Postgraduate Loan, please consult the Student Finance Zone.
Applications for Postgraduate Loans for all of our masters programmes are now open
English Language Requirements
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