Skip navigation

Enter your details to receive an email with a link to a downloadable PDF of this course and to receive the latest news and information from Northumbria University

* 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


Are you looking for a distance learning course that gives you the flexibility to combine your existing job, or other commitments, with a Masters-level qualification in the field of data analytics? This course combines core modules in information science with specialised modules in Database Modelling as well as Statistics and Business Intelligence.

Compared to the full-time on-campus version of this course, this Masters is taught via a flexible distance learning mode and it has a slightly extended duration of 16 months. This makes it very suitable for those who are already employed as information professionals, in addition to those looking to break into the sector for the first time. 

Accredited by the Chartered Institute of Library and Information Professionals (CILIP) to assure students that programmes provide an excellent preparation for professional practice. This accreditation makes our courses stand out and enhances their credibility and currency among employers, and is also crucial for progressing to Chartership status once qualified.


Course Information

Level of Study

Mode of Study
2 years distance learning
2 other options available

Computer and Information Sciences

City Campus, Northumbria University


September 2019


Book an Open Day / Experience Information Science (Data Analytics)

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

Our teaching is linked to what you want to learn and also to what you need to learn in order to achieve greater success in information science.

Our long established relationship with employers ensures that you receive the most relevant and up-to-date knowledge to bring innovation, relevance, ethical sensitivity and currency to all you do. There is an emphasis on learning by doing; coursework will include projects, portfolios of work, reports and presentations as well as essays. All this helps you to make sense of the subject, getting a clear understanding of important concepts and theories. 

While some assessments contribute to your final grade, there are other assessments that are provided purely to guide your progress and reinforce your learning. You can expect both your tutors and your peers to provide useful comments and feedback throughout the course.

Book an Open Day / Experience Information Science (Data Analytics)

Visit an Open Day to really get an inside view of what it's like to study Information Science (Data Analytics) at Northumbria. Speak to staff and students 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.

Our course is delivered through the Northumbria iSchool, which is one of only six iSchools in the UK. A hallmark of an iSchool is an understanding that expertise in all forms of information is required for progress in science, business, education and culture. This expertise must cover the uses and users of information, the nature of information itself, as well as information technologies and their applications.

Information Science at Northumbria was established over 70 years ago and has developed in close collaboration with the profession. That dynamic working relationship has allowed us to not only reflect professional requirements, but also to be instrumental in understanding and shaping those requirements.

Teaching Staff / Profiles

Book an Open Day / Experience Information Science (Data Analytics)

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

As a distance learner you will have full access to our eLearning Portal, ‘Blackboard Learn’, which includes lecture materials, web conferencing, study notes, discussion boards, virtual classrooms and communities. Blackboard Learn brings together all aspects of course management as well as assessment and feedback. Simpler technology is also effective and there’s still the option to reach tutors through a quick telephone call!

You will also have online access to Northumbria’s library, which has half a million electronic books that you can read whenever or wherever you need them. The 24/7 University Library achieves some of the highest levels of student satisfaction in the UK and has held the Cabinet Office accreditation for Customer Service Excellence since 2010.

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. The use of such software and tools is an important aspect of our information science courses.

Facilities / Computer and Information Science

Book an Open Day / Experience Information Science (Data Analytics)

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

In fast-moving fields like information science it’s particularly important for teaching to take account of the latest research. Northumbria is helping to push out the frontier of knowledge in a range of areas including digital consumers, behaviours and literacydigital socio-technical design and digital libraries, archives and records

As a student, you will be heavily engaged in analysing recent insights from the field of information science. You will undertake a major individual study that will require you to evaluate relevant literature as well as to develop your ideas within the context of existing research. Your study will be tailored to your particular interests but the underlying theme will be the relationships between information, people and technology. Many of our students publish their own research and present at professional and academic conferences, before or soon after graduating.

Research / Computer and Information Science

Book an Open Day / Experience Information Science (Data Analytics)

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

This course is accredited by the Chartered Institute of Library and Information Professionals. This reflects the relevance of the curriculum, which is informed by contact with employers and close professional links.

The topics and activities in the course have a strong emphasis on employability. For example you will develop skills in how to analyse, monitor and evaluate user behaviour. You will also learn how to evaluate and use a range of appropriate technologies for solving problems and supporting decision-making in organisations. Your knowledge and practical skills will help you take a lead on research-informed approaches that give organisations and professionals a valuable advantage.

Book an Open Day / Experience Information Science (Data Analytics)

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

Data analytics is firmly in the spotlight due to transformations in information science and the emergence of big data. As we look to the future, which will be marked by ever greater capabilities for data processing, and a rising expectation that major decisions should be based on data-driven insights, data analytics will become increasingly valued and rewarded.

On graduation, you will be well placed to take advantage of this trend. Employers are looking for information professionals who can develop new insights through mastery of their subject and critical scholarship. With your Masters qualification, you will be equipped to make a difference, advance your practice and make well-balanced judgements. You could work for a wide range of employers in the field of data analytics or you could progress in a career that you have already started. Your Masters qualification can also form the basis for further postgraduate studies at a higher level.

Book an Open Day / Experience Information Science (Data Analytics)

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

Entry Requirements 2019/20

Standard Entry

Applicants should normally have:
A minimum of a 2:2 honours degree, or equivalent.

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

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

Fees and Funding 2019/20 Entry

Full UK Fee: £6,990

Full EU Fee: £6,990

Full International Fee: £6,990


There are no Additional Costs

Scholarships and Discounts

Click here for UK and EU Masters funding and scholarships information.

Click here for International Masters funding and scholarships information.



If you'd like to receive news and information from us in the future about the course or finance then please complete the below form

* 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

How to Apply

How to Apply

Application for most courses is direct to the University via our online application form. Simply click on the 'Apply Online' button you will see on each of our course entries.

However, there are some courses where the application method is not directly to the University. These are:


Postgraduate Research
If you wish to apply for postgraduate research then please submit a research enquiry.

Application Deadlines 

Whilst most of our courses do not set an exact deadline for applications, you are advised to apply early to secure your place and organise any sponsorship or funding. Overseas students should submit applications to us by no later than 31 July for courses starting in early September or 1 December for courses that commence in January. This allows sufficient time to process our decision, for you to obtain visas and to organise your accommodation and travel arrangements.

Graduate Teacher Training Courses
Equal consideration is given to all applications received by UCAS Teacher Training by the main application deadline, details of all deadlines can be found on the UTT website.

Law professional courses
For details about the selection and allocation process for the full-time Law Professional courses please see the relevant website. For the Legal Practice Course (LPC)/Common Professional Examination and the Graduate Diploma in Law (CPE/GDL) courses, and for the Bar Professional Training Course (BPTC and BPTC LLM)

 Master of Fine Art (MFA)

Master of Fine Art (MFA) We encourage all applications to the MFA programme for entry in September 2017 to apply prior to our guaranteed application review date of 1st June 2017. After this date, we will review applications subject to there being remaining spaces on the programme.


Decision Making Process

Most courses require at least one reference, but some may need two. It is the responsibility of the applicant to ensure Northumbria receives a satisfactory academic reference. If you have not been in education for a number of years, then a reference from your employer may be acceptable.

We try to reply to applicants as soon as possible but you should receive a response within 10 working days, and this will be one of the following.

  • Conditional offer which will normally be upon the completion of your undergraduate degree or equivalent qualification and achieving a particular classification or grade. You will be required to send us a confirmation that you have passed your current degree course as soon as you receive notification to enable us to confirm your offer. 
  • Unconditional offer is made if you have already met the entry requirements of your chosen course 
  • Reject your application 

You will be asked to confirm your acceptance in writing of any offer made.

Fairness and Transparency
The University is committed to a system of admissions that ensures fairness, transparency and equal opportunities within the legal framework of the UK and best practice. All reasonable effort will be made to ensure that no prospective or existing student is unreasonably treated less favourably on the grounds of age, race, colour, nationality, ethnic origin, creed, disability, sexual orientation, gender, marital or parental/carer status, political belief or social or economic class, or any other type of discrimination.

Tuition Fee Assessment
Tuition fees are set at different levels for Home/EU and International Students. Before you begin your course the University must establish your tuition fee status. In many cases, the University will be able to make this assessment without requiring any additional information.

Guidance can be found on the UK Council for International Student Affairs (UKCISA) website to help you understand how Higher Education Institutions (HEI's) make an assessment on your fee status.

Selection Process 

Applicants who may not have the standard entry qualifications are welcome to apply and may be interviewed. Some courses will interview as part of the selection process. This applies particularly to courses in art and design, teaching and health.

Health Screening
Applicants for Nursing, Midwifery, Physiotherapy, Occupational Therapy, Primary (Early Years) and Social Work will be required to complete a health questionnaire. They may be required to attend for doctor or nurse assessment at the University Health Centre.

Prior to beginning their programme, all applicants to Nursing, Midwifery, Physiotherapy and Occupational Therapy are advised to start a course of Hepatitis B vaccinations, available from their own GP. In addition, Midwifery applicants must provide evidence before they commence training that they are immune to Hepatitis B or have Hepatitis B non-carried status.

Applicants to these courses who have had contact with MRSA in the previous 6 months may be asked to provide evidence that they are not colonised by submitting negative swabs results prior to commencement of training. Alternatively, they may be screened on commencement of the programme.

All applicants will receive vaccination screening at the University Health Centre on commencement of their programme.

Disclosure of Criminal Background
To help the University reduce the risk of harm or injury to any member of its community caused by the criminal behaviour of other students, it must know about any relevant criminal convictions an applicant has.

Relevant criminal convictions are only those convictions for offences against the person, whether of a violent or sexual nature, and convictions for offences involving unlawfully supplying controlled drugs or substances where the conviction concerns commercial drug dealing or trafficking. Convictions that are spent (as defined by the Rehabilitation of Offenders Act 1974) are not considered to be relevant and you should not reveal them.

If you are applying for courses in teaching, health, social work and courses involving work with children or vulnerable adults, you must complete the section of your UCAS application form entitled 'Criminal Convictions'. You must disclose any criminal convictions, including spent sentences and cautions (including verbal cautions) and bindover orders. Further information on how to complete this section is available from the UCAS booklet 'How to Apply'. For these courses, applicants are required to undergo police clearance for entry and will need to complete a Disclosure and Barring Service (DBS) enhanced disclosure form. The Disclosure and Barring Service (DBS) helps employers make safer recruitment decisions and prevent unsuitable people from working with vulnerable groups, including children. It replaces the Criminal Records Bureau (CRB) and Independent Safeguarding Authority (ISA). Access to the DBS checking service is only available to registered employers who are entitled by law to ask an individual to reveal their full criminal history, including spent convictions - also known as asking 'an exempted question'. The University is such a 'registered employer' and will send you the appropriate documents to fill in if you are offered a place in the course.

If you are convicted of a relevant criminal offence after you have applied, you must inform the university immediately. Do not send details of the offence; simply tell the University that you have a relevant criminal conviction. You may then be asked to supply more details.

Anti-fraud Checks
Please note that the University follows anti-fraud procedures to detect and prevent fraudulent applications. If it is found that an applicant supplies a fraudulent application then it will be withdrawn.

The University reserves the right to cancel an application or withdraw any offer made if it is found that an application contains false, plagiarised or misleading information.


Disabled Students

Northumbria welcomes enquiries and applications from disabled students whether disability is due to mobility or sensory impairment, specific learning difficulties, mental health issues or a medical condition. Applications from disabled students are processed in the usual way, but applicants should declare their disability at the application stage so that the University can contact them to assess how to meet any support needs they may have. Disabled applicants may be invited to visit the University so that this can be done in person.

To find out more contact:
Disability Support Team
Tel +44 (0)191 227 3849 or
Minicom +44 (0)191 222 1051


International Students

The University has a thriving overseas community and applications from International students are welcome. Advice on the suitability of overseas qualifications is available from:

International Office
Northumbria University
Newcastle upon Tyne

Tel +44 (0)191 227 4274
Fax +44 (0)191 261 1264

(However, if you have already applied to Northumbria and have a query, please contact or telephone 00 44 191 243 7906)

Provision of Information
The University reserves the right at any stage to request applicants and enrolling students to provide additional information about any aspect of their application or enrolment. In the event of any student providing false or inaccurate information at any stage, and/or failing to provide additional information when requested to do so, the University further reserves the right to refuse to consider an application, to withdraw registration, rescind home fees status where applicable, and/or demand payment of any fees or monies due to the University.

Modules Overview 2019/20


Module information is indicative and is reviewed annually therefore may be subject to change. Applicants will be informed if there are any changes.

KC7013 -

Database Modelling (Core,20 Credits)

You will understand the conceptual basis for current database technology and will be able to apply such knowledge in implementing database applications.
You will be able to understand data modelling through the example of the relational model; be able to design and manipulate relational databases with relational algebra and SQL; normalise relational data structures. You will appreciate limitations of data models and the need for database programming to achieve complete solutions, write transactions and procedures for relational databases, specify security for operations, and apply business rules.

You will gain knowledge of advanced object models, their rationale, advantages and disadvantages, construct object-relational databases with nested capability, write user-defined types as ADTs and subtypes for inheritance, use object features in Oracle database system.

You will be able to learn and employ data warehousing techniques to integrate and consolidate data from different sources, which can then be used for business reporting and exploratory data analysis. In addition, you will realise the responsibilities of database designers with respect to professional, legal, security and ethical issues.

More information

KC7020 -

Information Organisation and Access (Core,20 Credits)

You will learn about the key principles of information organisation and retrieval, and put them into practice and demonstrate advanced information and data management skills in diverse environments. You will be able to critically reflect on the theory and practice as well as contemporary research into the issues and contexts of information organisation and interactive information retrieval. You will also develop creative, critical and reflective problem solving capabilities and a commitment to lifelong learning in the management of information and data in different contexts.
Topics include:
1) Information organisation and access
a) Context, concepts, approaches, tools, techniques and standards
b) Structured and unstructured information, web information
c) Research data

2) Interactive information retrieval
a) Indexing techniques
b) Information retrieval models
c) Information interactions in specific domains and contexts

3) Human information behaviour
a) Human information behaviour models
b) User interfaces
c) Usability an devaluation of information retrieval

More information

KC7022 -

Information Systems and Technologies (Core,20 Credits)

You will learn the necessary knowledge and skills to analyse, synthesise and evaluate information systems; and to appraise and use a range of appropriate information technologies for solving problems within a business / enterprise context. You will learn about modern data-storage paradigm and how contemporary business is making use of cloud computing technologies and services. The module will be taught from two complementary perspectives: the managerial perspective and from the perspective of a developer. From these perspectives you will learn how an appropriate incorporation of technology and innovation into corporate strategy and management can lead organisations to achieve profitable and sustainable competitive advantage. Throughout the module, key issues around security and ethics when implementing and using such technologies will be introduced and discussed.

More information

KC7023 -

Research Methods and Professional Practice (Core,20 Credits)

You will learn about the techniques and methods used in applied, contract, academic and/or professional research. You will also develop your understanding of the theoretical philosophies underpinning research, as well as how to design and run research in an applied context. This will focus on the problems and issues that occur in establishing empirical knowledge in the information science area. You will explore various research philosophies and methodologies which can be applied to professional practice. You are also encouraged to apply models of reflective practice throughout the module.
Topics include:
1) The research landscape (research philosophies)
a) The epistemology and ontology of major research paradigms
b) Limitations of the research philosophies
c) The research hierarchy

2) Information Discernment
a) High level of Information Literacy in all domains
b) Developing critical arguments in support of the students own research
c) Identifying appropriate evidence from practice literature to demonstrate engagement with the profession
d) The ethical researcher
e) The reflective researcher
f) Developing research questions, aims and hypotheses

3) Research methods, data collection techniques and data analysis
a) The use of methods in research and implications of choice
b) Exploring methods, including; phenomenology, ethnography, case study, action research, Delphi study, experiments, quasi-experiments, survey etc.
c) Exploring techniques, including; questionnaire design, interviewing, focus groups, observation, diaries etc.
d) Data analysis, including; descriptive and inferential statistics, statistical modelling, multivariate techniques, constant comparative analysis, grounded theory and theoretical sensitivity.
e) Research data management
f) Writing research proposals

More information

KC7021 -

Statistics and Business Intelligence (Core,20 Credits)

The aim of the module is to provide you with the knowledge and practical skills for applying modern analytical techniques to business data. The module combines both theoretical and practical approaches so that you will have the skills to tackle problems in various realistic business settings.

This module is primarily concerned with examining and analysing (big) data arising from business(es) and to relate the extracted information to strategic, tactical and operational decision-making in organisations. You will covers topics such as:

• Data processing and big data
• Exploratory data analysis
• Probability and distributions
• Hypothesis testing
• Correlation and regression analysis
• Classification
• Distance measures
• Clustering

More information

KC7024 -

User Behaviour and Interaction Design (Core,20 Credits)

You will gain an insight into a range of theories, models, metaphors and frameworks regarding user behaviour in information environments.. You will learn how these can be harnessed to enhance the design process enabling interface designers to move towards user-centred design approaches. You will develop skills in the practice of analysing, monitoring and evaluating user behaviour.

You will be examining in depth theories and models of cognitive, social and emotional interaction in the technological environment and you will be exposed to current research in this area. Quantitative and qualitative methods including sentiment analysis will also be covered.

Tools such as eye-tracking devices, which can be used in the endeavour, will be demonstrated and you will be given an opportunity to evaluate their effectiveness.. Methodologies such as participatory design will also be analysed.

Related ethical and legal issues will be addressed on such issues as accessibility and assistive technologies, security and data protection, privacy issues and information governance.

In summary, the topics you will be learning about are as follows:
• Information behaviour from theory of least effort to co-creation of content
• The user experience and how to capture it
• Cognitive, social and emotional interaction in the technological environment
• Interaction design principles
• Persuasive technologies and behavioural design
• Participatory design methodologies and why they are useful
• Reflecting on wider use, inclusion and equality of access
• Ethical and legal aspects

More information

KC7026 -

Masters Dissertation (Core,60 Credits)

The dissertation will develop themes relevant to your studies during the taught element of the masters degree programme and/or related to your employment. The selection of your topic rests with you and discussions with staff can help to facilitate your choice of topic. The dissertation process will enable you to use and extend the knowledge and skills acquired during the taught element of your programme, by carrying out a small-scale research project that must be relevant to the particular programme and may be:
• Empirical research;
• A problem-based project, set in a real setting;
• A theoretical based project involving a critical and systematic review and synthesis of the literature.

All approaches should be based on an appropriate research methodology.

The dissertation will normally include the following:

1. A justification of the choice of the topic;
2. Exhibition of knowledge and critical analysis of existing literature, evidenced by a comprehensive list of references/bibliography;
3. Some evidence of original work in the form of data collection, field research, observation and/or analysis - supported by a description and justification of the method(s) used;
4. Conclusions, with an assessment of their general applicability, supported by relevant analytical procedures.

Dissertation briefings will also be held in the second semester of the year in which you complete the taught element of the Masters programme, prior to you commencing work on your dissertation.

More information

No module Data

Study Options

The following alternative study options are available for this course:

Any Questions?

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

Contact Details for Applicants:

Current, Relevant and Inspiring

We continuously review and improve course content in consultation with our students and employers. To make sure we can inform you of any changes to your course register for updates on the course page.

Your Learning Experience find out about our distinctive approach at

Admissions Terms and Conditions -
Fees and Funding -
Admissions Policy -
Admissions Complaints Policy -

You might also be interested in...

Order your prospectus

If you're a UK/EU student and would like to know more about our courses, you can order a copy of our prospectus here.

Get a downloadable PDF of this course and updates from Computer and Information Sciences

Enter your details to receive an email with a link to a downloadable PDF of this course and to receive the latest news and information from Northumbria University

* 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


Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.


Virtual Tour

Get an insight into life at Northumbria at the click of a button! Come and explore our videos and 360 panoramas to immerse yourself in our campuses and get a feel for what it is like studying here using our interactive virtual tour.

Back to top