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1 year
Full time
Master's degree
Scholarships available
Sunderland
English

Program description

Data Science

Harness new forms of data with increasingly powerful computer techniques. Gain the technical and practical skills to analyse big data. Study a unique course developed according to the needs of the employment sector.

This newly developed Data Science course will provide you with the technical and practical skills to analyse big data that is key to success in future business, digital media and science. Study industry-specific topics and specialise in areas such as data mining, machine learning, data analytics and visualisation, and security of big data.

Our close links to industry and businesses in the North East, as well as the research expertise of our academics, makes this course unique and ensures that the course structure is developed according to the needs of the employment sector.

Admission requirements

A 3 year (4 year for Engineering) graduation degree from an AICTE / UGC recognised University - 55% (52% for Computing and Engineering programmes; 50% MBA programme with some experience)

A 3 year (4 year for Engineering) graduation degree from an AICTE / UGC recognised University - 57-60% (depending on reputation of University)

English language Requirements

We accept a wide range of English language qualifications. The standard of English language required varies between courses so please check each course page carefully.

If English is not your first language you should have at least one of the following qualifications (or equivalent) as a minimum.

International English Language Testing System (IELTS)

You need an overall score of 6.0, with at least 5.5 or higher in each component: reading, writing, listening and speaking. An alternative approved Secure English Language Test (SELT) will also be accepted if the applicant’s element scores are equivalent to those required for IELTS. After 6 April 2015, you must take your IELTS exams at one of the test centres listed on the UKVI website.

Pearson Test of English Academic

You need an overall score of 56 with no less than 51 in each skill.

Cambridge Certificate of Proficiency in English (CPE)

You need grade C or above.

Cambridge Certification in Advanced English (CAE)

You need grade C or above.

O-Level English Language or GCSE English Language

You need grade C or above (UK Exam board).

Malaysian SPM 1119

You need grade 6 or above (only grades 1, 2 or 3 are acceptable for Law).

Trinity Integrated Skills in English (ISE) II

You need Merit or Distinction.

Degree in English

If you have another qualification not listed above, contact the International Office for advice. If you do not have the necessary level of English you may need to take one of the University's English for Academic Purposes (EAP) University Preparation Courses before you begin your course.

For more information about admission requirements, please visit the university website.


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Program content

Data Science Fundamentals

Learn how to use different types of data and understand how to fuse more than one dataset together. Apply a full range of traditional and intelligent analytics to a variety of datasets and make use of modern data science / big data platforms and languages. Cover techniques and tools for presenting and visualisation.

Data Science Product Development

Learn how to design and develop a data science product to solve a challenging real world problem, based on a systemic literature review on state of the art data science software technologies and project development methodologies, prototyping the product with end users’ evaluations. Produce a project summary report.

Machine Learning and Data Analytics

Study three interrelated subjects: machine learning, data mining, and data analytics including relevant professional, ethical, social and legal aspects. Focus on information and knowledge management, problems with data, approaches to selection of data analytics tools, principles of modelling and simulation, and operations research. Examine the trends, tools, and current developments in the area of machine learning, data mining and data analytics and their practical applications

Technology Management for Organisations

Learn to apply the principles, policies and procedures of cybersecurity and data science to provide resilient and robust organisational solutions for secure and valuable information. Develop techniques and use tools that will enable you to undertake critical analysis of the challenges and opportunities of using cybersecurity to mitigate and manage risk to data and enable business continuity in the case of data breaches. Develop a critical understanding of governance, standards, audit, assurance and review in order to evaluate the challenges in managing technology.

Computing Masters Project

Develop a practical deliverable and investigate an area of academic research through the support of a sponsor for example: an IT strategy; an investigative study; a technically challenging artefact (e.g. a feasibility study, design, implementation, re-engineered solution); or undertake a theoretical review based on a novel research question (provided by a research active member of staff). Underpin the project with a literature review that is a conceptual framework of your study - a systematic synthesis of concepts, assumptions, expectations, beliefs, and theories that supports and informs your research.

Scholarships & funding

Several scholarship options are available, Please visit university website for more information.

Tuition fees

  • £7,500 if you are from the UK/*Europe
  • £14,500 if you are an international student

Career opportunities

The digital sector will require 300,000 new recruits by 2020, with a specific specialist demand of ‘high-level IT specialists, such as IT architects, big data and security specialists’ (UK commission for Employment and Skills 2013). According to the McKinsey Report (2011), “the demand of people with data science skills is predicted to double over the next five years”.

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About this institute

University of Sunderland

We’re known as the friendly University – we welcome students from all corners of the globe and have a number of events and activities to help you make new friends and settle in. Our Students’ Union offers a buddies scheme and...


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Contact info

University of Sunderland

Edinburgh Building, City Campus, Chester Road
SR1 3SD Sunderland

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www.sunderland.ac.uk


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Want to know more about Data Science? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.

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