Data Science (with Specialisation in Artificial Intelligence) at Newcastle University - UCAS

Newcastle University

Degree level: Postgraduate

Data Science (with Specialisation in Artificial Intelligence) (Taught)

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Course summary

Our Data Science (with Specialisation in Artificial Intelligence) MSc provides a comprehensive grounding in the knowledge and skills required to work within Data Science and Artificial Intelligence. About this course Artificial Intelligence is all around us and used on a daily basis. All Artificial Intelligence uses data analytics as the underpinning science. Throughout your degree you will explore the key topics in the field of Artificial Intelligence and develop the skills needed to address real problems in a given application area. This MSc forms part of the following suite of data science courses: Data Science MSc, PGDip, PGCert Data Science (with Specialisation in Statistics) MSc, PGDip, PGCert Data Science (with specialisation in Visualization), MSc, PGDip, PGCert What you'll learn Through this course you'll receive a comprehensive grounding in theory and application of data science. You'll also gain the ability to apply these skills to real problems in a given application area. Through project work, you'll experience the full lifecycle from design of interactive visualization to experimental evaluation of an advanced visualization approach. Topics covered in the course include: data visualization cloud computing Bayesian statistics machine learning Your development We have substantial expertise in data science, focusing on a wide range of application areas. This includes: healthcare transport cybersecurity smart cities manufacturing We are home to the UK’s National Innovation Centre for Data (NICD). We are also a partner of the Alan Turing Institute, the national institute for data science and artificial intelligence. All our academic staff involved in teaching data science modules have international reputations for their contributions to the field. Many of them have extensive experience as practitioners in industry as well as work in academia. You will be encouraged to play a full part in the life of the School of Computing, including: taking advantage of dedicated computing and study facilities participating in seminars delivered by researchers and distinguished external speakers Delivery The School of Computing and School of Mathematics, Statistics and Physics deliver the course. The course starts in mid-September. You will be taught in modern facilities in the newly-opened Urban Sciences Building. The course has three phases. In phase one you’ll be introduced to core knowledge and skills in statistics and computer science. These modules are taught as an intensive block, with two modules taught concurrently for full-time students. Teaching is timetabled to accommodate participants from industry, working alongside full-time employment. Phase two will present further advanced technical modules. You will be introduced to the aspects that underlie all areas of data science practice including: professionalism legislation ethics This phase also includes a group project in collaboration with industry. You'll develop and evaluate a data science solution to a complex, real-world problem. Phase three is an individual research and development project. You'll receive personal supervision in one of the School’s research labs in collaboration with industry or with your current employer. You'll be assessed by a portfolio of practical work, accompanied by an oral interview. There will be no written examinations as part of the Data Science MSc. If you’re a part time student, you have the flexibility to study over two years. The part time version of the course encourages participation of practitioners from industry. As a part time student you can: align your assessed work with the priorities of your job role carry out your individual project in your place of work (as long as the supervisory processes in place meet University standards)

How to apply

International applicants

English Language Requirements To study this course you need to meet our Band 2 English Language Requirements. Direct Entry: IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills). If you have lower English Language scores, you may be accepted onto a Pre-sessional English course.

Entry requirements

A 2:1 BSc honours degree, or international equivalent, in: computer science mathematics statistics an engineering discipline with programming experience Applicants with lower or non-standard qualifications and relevant industrial experience will be considered on an individual basis. INTERNATIONAL STUDENTS: Direct Entry: IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills). If you have lower English Language scores, you may be accepted onto a Pre-sessional English course.

Fees and funding

Tuition fees

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Additional fee information

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Data Science (with Specialisation in Artificial Intelligence) at Newcastle University - UCAS