Sitz
Großbritannien
Studienformat
Campus
Kurssprache
Englisch
Studienbereiche
Informatik, Datenwissenschaft, Künstliche Intelligenz
Dauer
1 Jahr
Studienrhythmus
Vollzeit, Teilzeit
Niveau
Master of Science (MSc)
Studiengebühren
Infos anfordern
Sitz
Großbritannien
Studienformat
Campus
Kurssprache
Englisch
Studienbereiche
Informatik, Datenwissenschaft, Künstliche Intelligenz
Dauer
1 Jahr
Studienrhythmus
Vollzeit, Teilzeit
Niveau
Master of Science (MSc)
Studiengebühren
Infos anfordern
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.
Northeastern University London offers a vibrant, collegiate community delivering broad and academically rigorous degree programmes, designed to equip graduates with the combination of skills and knowledge that are increasingly desired by organisations, employers and society.
As part of Northeastern University's global campus network, all students have access to Northeastern's vast online library. Undergraduate students have the option to spend a semester abroad studying at one of Northeastern University's US campuses, while NU London's alumni benefit from generous alumni scholarships to study for their master's degree at one of Northeastern's North American campuses.
Undergraduates enjoy an extraordinary level of flexibility in choosing subjects and courses to create a bespoke programme of studies for their degree, that is tailored to their academic interests and their future aspirations. They can choose to focus on a single academic discipline for their degree or to combine the main subject of study with one or a range of complementary subjects and interdisciplinary themes.
Subjects and thematic pathways include:
The University's postgraduate programmes are cutting-edge courses exploring the intersection of the humanities and science. Studying at Northeastern Univeristy London is an enriching pursuit, both personally and professionally, and postgraduate students play an integral role in the ongoing development of the overall vibrant collegiate community.
Our master's programmes foster advanced skills in critical questioning, information gathering, synthesis and analysis, coding, and oral and written communication.
Teaching at Northeastern University London comprises interactive lectures, seminars, and small group tutorials. Some of our courses are delivered through a high number of scheduled teaching or ‘contact’ hours, while others focus on smaller, more personalised, guided independent study, or hands-on or community-based projects. Most lectures and seminars will have around 20-30 student participants, while tutorials will typically have five or fewer students, and may sometimes be one-to-one. This personalised approach to teaching allows everyone to participate and thrive
Since the University’s inception, it has developed a reputation for delivering an unrivalled university experience, consistently exceeding all Russell Group universities for overall student satisfaction in the UK's National Student Survey (2019, 2020, 2021 and 2022).
NU London offers an intensive learning experience and immense opportunities for individual growth. Students who choose to study at the University develop into assured, well-rounded, eloquent individuals with a capacity for independent critical thought and intellectual debate, impressive research skills, a range of interests and passions, and an understanding of how to apply their studies to the world at large.
The University believes in teaching versatile skills and behaviours, relevant to a wide range of industries. The subjects offered embed skills that are transferable to an array of careers and jobs, including arts, technology, finance, law, journalism, publishing, civil service, and advertising.
Alumni have gone on to work for prestigious companies such as Accenture, BBC, Civil Service, Deutsche Bank, M&C Saatchi, PwC and Slaughter & May. Graduates have pursued further study at leading institutions, including the Universities of Oxford and Cambridge, LSE, UCL, King’s College London, the University of Chicago, the New School in New York, and Northeastern University.
The University of Manchester
Großbritannien
Datenwissenschaft, Umweltwissenschaften, Statistik
Master of Science (MSc)
Englisch
1 Jahr
The University of Manchester
Großbritannien
Datenwissenschaft, Wirtschaftswissenschaften
Master of Science (MSc)
Englisch
1 Jahr
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Großbritannien
Datenwissenschaft
Master of Science (MSc)
Englisch
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Online
Großbritannien
Datenwissenschaft
Master of Science (MSc)
Englisch
2 Jahre
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