Overview
Why choose our MSc Artificial Intelligence & Computer Science?
- Explores wide-ranging disciplines including programming, design, algorithms, software engineering, data management, artificial intelligence and machine learning.
- Delivers practical experience in deploying tools and techniques across a variety of applications areas including software development, website, mobile and scalable systems.
- Incorporates three individual software development projects which challenge students to develop and defend a solution to a substantial real world problem by applying the state-of-the-art techniques and tools they have studied.
Introduction
Designed to prepare students for a variety of careers in computer science, the MSc Artificial Intelligence & Computer Science masters programme combines both computing and important application domains, enabling you to increase your broad-based knowledge in the field while focusing on one of a range of curricular specialisations.
This Artificial Intelligence and Computer Science masters will enable you to:
- Exhibit proficiency in the design, implementation and testing of software
- Demonstrate skills and experience working in small teams
- Apply algorithmic and theoretical computer-science principles to solve computing problems from a variety of application areas
- Demonstrate the ability to learn and develop competencies in specialized or emerging computer science fields
Career Development
The MSc Artificial Intelligence & Computer Science is designed to produce graduates who are equipped to succeed in a variety of technology sector jobs including Computer Consultant, Software Engineer, and Software Developer.
In addition to their degree students, students of the MSc Artificial Intelligence and Computer Science have access to personalised guidance to help clarify and create practical plans to achieve career aspirations.
In addition, they enjoy opportunities to network with our partner employers in the technology and public sector, while studying just minutes from both London’s Central Business District and East London Tech City.
Graduates will find success in a wide range of careers, including:
- Software Development Engineer at Amazon
- Consultant at Deloitte
- Software Engineer at Microsoft
- Full Stack Developer at Cartera Commerce, Inc.
Structure
Structure
The University’s MSc Artificial Intelligence and Computer Science masters is a 180-credit programme.
The programme provides an opportunity for students to pursue an interdisciplinary project in digital humanities and computer or data, under the joint supervision of academic advisors from each discipline.
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.
Our Masters programmes are demanding and we advise students that, if they intend to work alongside the course, their work should be flexible in nature. However, we will work with students, where possible taking into account their individual circumstances and need, to be flexible with our provisions.
Timetables
Timetables are usually made available to students during Welcome 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.
Costs
Funding
Admissions
Entry requirements for the MSc Artificial Intelligence & Computer Science at Northeastern University London.
Graduates
Offers are typically made to applicants holding an upper second-class honours undergraduate degree (or equivalent) in computer science or related engineering or informatics disciplines.
Good knowledge of Mathematics acquired during undergraduate studies or through professional experience is preferable.
Good knowledge of programming (e.g. Python) is essential.
Each applicant will be assessed on an individual basis through their application, a reference and personal statement.
Professionals
Northeastern University London welcomes applications from mature students who may have been out of education for a while who have equivalent professional experience.
(including 6.0 in all four components) or an equivalent qualification.