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**SUBJECT TO VALIDATION**

Designed in consultation with partners from industry, and the business sector, our highly practical Data Science Masters provides you with the relevant skills needed to analyse, synthesise and manage different types and sizes of data efficiently. 

Our Data Science MSc will provide you with the ability to explore data insights to ensure organisations are making the most out of their data. You will develop knowledge insight from a variety of structured and unstructured data, using a range of data analysis methods, processes, algorithms and systems. 

The course provides a greater understanding of Big Data and Cloud computing and will equip you with skills needed to tackle realistic Big Data problems. You will use principal machine learning methods, advanced database technologies, data visualisation techniques and statistical approaches to apply modern, analytical and statistical techniques to business data - combining both theoretical and practical approaches. You will also become equipped with programming skills in Python and R for effective, efficient, statistical data analysis.

This course is suited to those who have an undergraduate degree in computing/information sciences, or mathematical and statistical disciplines with applied computing components. It is ideal for graduates who wish to advance their career by becoming a data scientist. Alternatively, those with a considerable computing background in an industrial / business setting are suitable applicants.

**SUBJECT TO VALIDATION**

Designed in consultation with partners from industry, and the business sector, our highly practical Data Science Masters provides you with the relevant skills needed to analyse, synthesise and manage different types and sizes of data efficiently. 

Our Data Science MSc will provide you with the ability to explore data insights to ensure organisations are making the most out of their data. You will develop knowledge insight from a variety of structured and unstructured data, using a range of data analysis methods, processes, algorithms and systems. 

The course provides a greater understanding of Big Data and Cloud computing and will equip you with skills needed to tackle realistic Big Data problems. You will use principal machine learning methods, advanced database technologies, data visualisation techniques and statistical approaches to apply modern, analytical and statistical techniques to business data - combining both theoretical and practical approaches. You will also become equipped with programming skills in Python and R for effective, efficient, statistical data analysis.

This course is suited to those who have an undergraduate degree in computing/information sciences, or mathematical and statistical disciplines with applied computing components. It is ideal for graduates who wish to advance their career by becoming a data scientist. Alternatively, those with a considerable computing background in an industrial / business setting are suitable applicants.

Course Information

Level of Study
Postgraduate

Mode of Study
1 Year Full-Time

Location
City Campus, Northumbria University

City
Newcastle

Start
September 2020

Fee Information

Discover more / Data Science MSc

Listen to Programme Leader Dr Akhtar Ali talk about the Data Science MSc at Northumbria, in our Masters in a Minute (or so) and discover what the course involves and why this course could be for you.

Book an Open Day / Experience Data Science

Visit an Open Day to really get an inside view of what it's like to study Data Science at Northumbria. Speak to staff from the course and discover your funding options.

Our Data Science MSc has been designed in consultation with partners from the industry/business sector to ensure you learn up-to-date knowledge and practical skills in data science required by employers across a range of industries/businesses.

You will undertake five taught modules covering core areas in data science from principles, computational and statistical methods, as well as techniques to programming in Python and R to advanced databases. You will also study Big Data in a cloud computing setting, and machine learning. The sixth module covers transferable skills in project management and research that supports your preparation for a Masters Project. 

Finally, you will undertake a major data science project, allowing you to specialise in a subject of interest to you (for example in areas such as business analytics, health analytics and game analytics). You will complete practical tasks based on real-life situations, accompanied by critical reflection, and will follow standard professional practice within an organisation/ industry/ business. 

During the summer you have the opportunity to get involved with the Data Analytics Clinic – here you can gain further real world experience, working with industry on live projects that can feed into your final year project. This is under the supervision of academic and enterprise supervisors, enabling you to work on a data science aspect of a project and understand the business value of data.

Book an Open Day / Experience Data Science

Visit an Open Day to really get an inside view of what it's like to study Data Science at Northumbria. Speak to staff from the course and discover your funding options.

Our teaching staff include cutting-edge researchers, whose specialisms overlap with the content of this course, helping ensure that teaching is right up-to-date. Specialisms include big data, data mining, decision-making, digital literacy, information behaviour, information retrieval systems, recommender systems, and the link between information science and cognitive psychology.

Our eminent academics have written books that regularly appear on reading lists for information science courses at universities all over the world. They also work as external examiners and reviewers of courses at other UK and non-UK universities.

Book an Open Day / Experience Data Science

Visit an Open Day to really get an inside view of what it's like to study Data Science at Northumbria. Speak to staff from the course and discover your funding options.

Northumbria University uses a range of technologies to enhance your learning, with tools including web-based self-guided exercises, online tests with feedback, videos and tutorials. These tools support and extend the material that is delivered during lectures, and are available anywhere anytime. Group work and peer interaction feature prominently in our learning and teaching, this reflects the practices you are likely to encounter within the working environment.

You will have 24/7 term-time access to Northumbria’s library, which has over half a million print books as well as half a million electronic books available online. 

The University has advanced search software and database tools, including NORA Power Search that allows you to use a single search box to get fast results from across a wide and reliable range of academic resources.

Throughout the duration of your course you will have access to our state-of-the-art facilities including our new Computer and Information Sciences building, this gives you access to dedicated IT systems and is available evenings and weekends.

Facilities

Explore our brand new Computer and Information Sciences building.

Book an Open Day / Experience Data Science

Visit an Open Day to really get an inside view of what it's like to study Data Science at Northumbria. Speak to staff from the course and discover your funding options.

Through the dissertation module, you will undertake a major individual project. This provides a platform to conduct a substantial piece of research and development into a topic at the forefront of the Data Science discipline. This will include the need to utilise appropriate research techniques, critical evaluation and synthesis. 

You are also invited to attend department research seminars and workshops organised by IoC (Institute of Coding). These provide another opportunity for exposure to research methods and contemporary research issues in computing and data sciences.

Research / Department of Computing and Information Sciences

Click through to discover our current research areas.

Book an Open Day / Experience Data Science

Visit an Open Day to really get an inside view of what it's like to study Data Science at Northumbria. Speak to staff from the course and discover your funding options.

Demand for those with specialist data science qualifications is high and this course can prepare you for a range of careers in the modern digital world. 

You will be well placed to take up a range of roles available in the IT based business world including, but not limited to, Information and Data Manager, Business Systems Analyst, Enterprise Data Analyst, Data Scientist, Data Engineer, and Data Specialist. These roles are in a variety of industries including investment management, healthcare and banking, amongst many others.

Book an Open Day / Experience Data Science

Visit an Open Day to really get an inside view of what it's like to study Data Science at Northumbria. Speak to staff from the course and discover your funding options.

Entry Requirements 2020/21

Standard Entry

Applicants should normally have:

A minimum of a 2:2 honours degree (or equivalent) in a quantitative subject such as computer / information science, engineering, maths, statistics, or a related discipline (e.g. IT, software engineering). Other subject qualifications, equivalent professional qualifications and/or relevant work experience will be considered on an individual basis.

International qualifications

If you have studied a non UK qualification, you can see how your qualifications compare to the standard entry criteria, by selecting the country that you received the qualification in, from our country pages. Visit www.northumbria.ac.uk/yourcountry

English Language requirements

International applicants are required to have a minimum overall IELTS (Academic) score of 6.5 with 5.5 in each component (or approved equivalent*).

*The university accepts a large number of UK and International Qualifications in place of IELTS. You can find details of acceptable tests and the required grades you will need in our English Language section. Visit www.northumbria.ac.uk/englishqualifications

Fees and Funding 2020/21 Entry

Full UK Fee: TBC

Full EU Fee: TBC

Full International Fee: TBC

ADDITIONAL COSTS

TBC

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* By submitting your information you are consenting to your data being processed by Northumbria University (as Data Controller) and Campus Management Corp. (acting as Data Processor). To see the University's privacy policy please click here

Any Questions?

Our admissions team will be happy to help. They can be contacted on 0191 406 0901.

Contact Details for Applicants:

bc.applicantservices@northumbria.ac.uk

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