MSc Data Analytics and Technologies

This innovative and dynamic MSc in Data Analytics and Technologies offers you the opportunity to develop key employability skills and expertise so you can interrogate and make sense of data, unlock vital insights and communicate your discoveries. Combining focused study in data analytics and technologies with essential training to develop the high-level transferable skills needed for career success, this course allows you to become the master of your own career development.

Key information



Mode of Study:



24 months


University of Bolton

Start date:


Course Details

Data skills are in-demand
A recent survey of 9.2 million job adverts found that just over one in ten roles required data expertise (1). Across the economic spectrum, there is a growing need for professionals who can unlock the potential of data, turning raw information into actionable insight. From healthcare, government and public services to marketing, telecommunications and the energy sector, data skills are highly transferable between industries. It doesn’t matter what your background area of expertise is, the University of Bolton's MSc in Data Analytics and Technologies is open to everyone wishing to launch their career in data analysis, data visualisation and the technologies that underpin these essential business activities.

Supporting you to become the ‘complete package’
Employers are not looking for ‘robots’ that process data – they are looking for well-rounded human beings with a combination of high-level technical expertise and essential interpersonal and employability skills, such as leadership, communication, critical thinking, team working and problem-solving. We draw expertise from across the University to ensure you gain the vital mix of hard and soft skills necessary for career success. In addition, our extensive links with regional and national employers offer opportunities for masterclasses, networking and individual industry-based projects. Overall, this course offers you the opportunity to develop extensive knowledge of data analytics and a broad grounding in technology solutions, coupled with essential skills development for business and leadership. Together these attributes will take your CV to the next level.

Mastering the data
Our experts will support you as you develop an extensive knowledge of data analysis principles and methods and gain a broad grounding in technology solutions. We’ll focus on high-impact areas such as digital marketing and how the culture of the web, social media and digital technologies affect consumer behaviour. You’ll be encouraged to explore how concepts from consumer psychology, marketing and business intelligence are applied in areas such as web analytics, email marketing, search engine optimisation and online advertising. We’ll guide you as you learn how to use a selection of data analytics software packages, and apply this knowledge to contemporary case studies in a hands-on way to extract and present valuable insights from the data. This course offers you the skills to interrogate and make sense of data, unlock vital insights and communicate your discoveries.

Helping you pursue Amazon Web Services (AWS) certification
To ensure you have the skills to effectively manage and store data, we’ll support you to develop critical understanding and practical ability in the use of core IT infrastructure, architecture, processes and technologies. This will be particularly helpful when you undertake cloud-based data analysis. Companies are increasingly using the public cloud so need professionals with the skills to design, deploy and manage applications in cloud computing so we offer specific materials to help you pursue AWS certification as a Cloud Practitioner (2). AWS certification emphasises hands-on experience and best practice, meaning it stands out for its rigour and thoroughness in evaluating your skills. As the market leader in the cloud computing space, AWS certification demonstrates and validates your technical cloud knowledge and skills, helping you stand out to employers.

Future-proof your career
Big data, cyber laws, consumer data analytics and AI is revolutionising and transforming how people do business. Being able to adapt and work effectively in a digitally enriched business environment is a key skill required by employers. Our MSc Data Analytics and Technologies degree offers an innovative approach that will help you to become your own careers coach. We’ll take a multi-faceted approach to help you gain a combination of academic, analytical, business and professional skills that will prepare you for a career as a data analyst, as well as provide a sound basis for doctoral-level study. We’ll use tried and tested, research-informed coaching and training methods to support your development and help you form clear plans for your future. You’ll undertake individual industry-based projects and create a body of work that focuses on your progression into employment. Completing this course will extend your skills and increase your self-confidence so you can compete with confidence for your dream job, secure a promotion or build your own business.

(1) accessed on 16 November 2021

(2) Please note, to achieve AWS certification you’ll need to commit to significant additional independent study. Achieving AWS certification is not part of the learning outcomes for this master’s degree.

Would you prefer to complete your studies more quickly? We also offer this course by full-time study with a duration of 12 or 18 months. To complete your studies in 12 months, please visit our MSc Data Analytics and Technologies course search web page for details and to apply. Alternatively, to study this course full-time over 18 months, please visit our MSc Data Analytics and Technologies: Extended course search web page.

  • Dr Selva Pankaj, the author of ‘Thinking into Character – A Proven Methodology for the Creation of Success & Self-Fulfilment’, is a valued partner of the University whose work will support you in the development of business and career planning, confidence and knowledge.
  • Our industry‐engaged staff have strong links with organisations across the range of public, commercial and industrial sectors, offering opportunities for industry masterclasses and lectures, joint projects, and networking.
  • We offer you the opportunities to develop extensive knowledge of the key data analysis principles and methods, along with a broad grounding in technology solutions.
  • Working with local and regional public bodies, we offer you the chance to participate in data-focused hackathons that use outcomes to benefit communities.
  • This MSc is part of the University of Bolton’s ‘Career Development Masters’ suite, offering shared modules that give you a wider business perspective. Inspired by the graduate training programmes of major companies, these modules will help you develop high-level employability and transferable skills and apply them in your career.
Key Features
  • All classes are planned to allow part-time students to continue with their employment whilst studying, so working professionals can undertake the programme. The part-time course would be completed in 24 months.
  • Teaching and supervision are delivered by dedicated staff chosen for their expertise and experience in fields relevant to data analytics and big data, relevant technologies and your professional development needs.
  • We offer an engaging programme of visiting speakers so you can enjoy masterclasses with industry professionals, gaining insights into contemporary issues, developments and practice in data analysis, digital technologies and the broader commercial environment.
  • We'll offer you opportunities for interdisciplinary work and collaboration.
  • On graduation, you’ll be able to showcase your expert knowledge to employers through your Professional Dissertation. This independent and substantial body of work will demonstrate your mastery of an aspect of data analytics and technologies, as well as your postgraduate-level skills in research and critical thinking.

  • You should have at least a lower second class (2.2) honours degree (or equivalent) in any subject or five years’ relevant work experience.
  • You must also have GCSE Mathematics at grade C or above or grade 4 to 9. Please contact us for details of other acceptable qualifications. If you don’t have an acceptable mathematics qualification, you’ll need to attain a minimum mark in a diagnostic mathematics test.
  • If you wish to gain admission on the basis of five years’ relevant work experience, you’ll be required to attend an online or face-to-face interview and present evidence in the form of a portfolio of work and examples that demonstrate your suitability and aptitude for the course. The evidence should be presented in electronic format and attested by an independent person. The independent person could be a current or former lecturer or an employer who has a more senior role than yourself. The University is looking for candidates who can demonstrate a clear style and commitment to their professional practice and who will benefit from experiencing this area of study.
  • We'll consider applications where appropriate work experience can be demonstrated in lieu of, or in addition to, the published academic qualifications in line with the University’s Recognition of Prior Experiential Learning (RPEL) procedures.
  • If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications – please visit our English Language Requirements web page for more details.

Where changes are made to material information contained in this course description or a decision is taken to suspend a course between the offer of admissions and enrolment, we will inform applicants at the earliest possible opportunity and will outline the various options available to the applicant.

Data is rewriting the rules of many professions and employers from government departments to technology start-ups are scrambling to recruit professionals who can help them make sense of it. The demand for workers with specialist data skills is enormous. The UK data market was £1.1 billion in 2018 – the largest in Europe and the second largest in the world (3). Organisations from across the economic spectrum are seeking to recruit people with data science skills and the opportunities for professionals continue to grow.

Our MSc Data Analytics and Technologies offers a postgraduate route into this in-demand and varied career. It also acts as a bridge into data analysis and technologies if your undergraduate degree was in an unrelated subject area. Additionally, it’s an excellent option if you’ve been working in a relevant field gaining degree-level knowledge through experience and self-study rather than formal education. You can join this course without ever having studied data or computing before.

As a graduate of this master’s degree, you’ll possess an impressive all-round combination of skills and knowledge. In addition to a strong theoretical and practical knowledge of data analytics and technologies, you’ll be able to demonstrate essential interpersonal and people skills, such as collaboration and team working, negotiation and persuasion. You’ll have a clear understanding of the contexts in which data analysts work, coupled with commercial awareness and business-relevant knowledge. You’ll also possess high-level academic skills in research, critical thinking and curiosity. Not only will all this help you become established early on in your career, but you’ll also be primed to take on leadership roles. Moreover, you’ll have the lifelong learning, problem-solving and decision-making skills needed to adapt to new challenges throughout your career.

(3) accessed on 16 November 2021

What can I do with this qualification?

An essential focus of this course is on giving you the confidence to promote yourself effectively by drawing on the most appropriate elements of your expertise and presenting your ideas and work in the correct way. As a graduate of this industry‐focused, hands-on MSc, you’ll possess strong skills in data analytics and technologies, along with clear plans as to how you will use these to progress your career. Depending on your prior qualifications and experience, a wide range of career opportunities will be open to you as well as the option of further study towards a PhD should you choose a career in research or academia.

Data analysts are in high demand across all sectors and data analytics roles are diverse. You may be involved in looking for trends and patterns to help companies make business decisions, predicting demand for goods or services or checking quality control standards in areas like food and drug testing. There are also many roles in marketing and marketing research; for instance, in opinion poll design and analysis, analysing trends in consumer feedback and search engine optimisation for websites.

Organisations in areas such as finance, consulting, manufacturing, pharmaceuticals, government and education all need professionals to help mine and analyse large datasets, draw conclusions and present these insights to managers so that they can drive the business forward. Big data has intensified the need for analysts who can create data dashboards, graphs and visualisations to communicate trends to business leaders and other stakeholders. Conversely, small and medium-sized enterprises have need of consultants to help them make business decisions based on their data on an ad hoc basis so you could consider starting your own business to support their needs.

Completing this course will open a multitude of doors to you and you'll be well prepared to seek employment or promotion, or become self-employed using the enterprise and innovation skills you’ve developed as part of the course. You’ll also be invited to continue your education via the MPhil and PhD degrees that are available at the University of Bolton.

Alternative career options

Depending on your prior qualifications and experience, after graduation you can also use this master’s degree as a stepping-stone into a range of other careers. For some of these roles, both relevant experience and/or postgraduate study may be required. Some of these careers include:

  • Leadership and management
  • Use of technology in enhancing business and industrial processes
  • Solutions driven business and industrial investigation
  • Marketing and public relations
  • Social media management
  • Information systems management
  • Cyber security
  • Social enterprise
  • Policy management
  • Education and teaching
  • Advising and consultancy

Course fees

Useful information

This course is one of our Career Development Master's - Game Changers degree programmes. Generous bursary schemes are being offered for these courses. Please see our Scholarship and Bursaries web pages.

Important note regarding tuition fees for the 2022-2023 academic year: EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for 'Home' fee status. If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for 'Home' fee status under the Common Travel Area arrangement. Please read the student finance for EU students web page on for information.

The fees for a student's course of study will be set for the normal duration of that course subject only to inflationary increases – measured by the Consumer Price Index (CPI) recorded in March each year to take effect for subsequent start dates.


Click here for more information on our Master's Bursaries.

For details of how to apply for this course, please choose your status from the options below:

You may apply directly to the University using the University's online application form. Please select your chosen start date from the list below:

You should have to hand:

  • Details of the educational establishments you attended and dates

  • Your certificates for the qualifications you are using to gain entry to the course – you will need to enter the completion date and upload copies

  • Details of any employment history including name, address, dates and role

  • Personal statement – this can be either input into the relevant field or uploaded separately

  • Details including e-mail addresses of two referees, at least one of which should be someone who can provide an academic reference

Please make sure any documents you wish to upload in support of your application are in pdf or jpeg format. Personal statements may be word documents.

Please ensure your data is correct at each stage of the application before you proceed to the next page. If you use the back button at any time during the application, you should check the validity of the data you have already input.

If you experience difficulties during the application process, contact the Admissions Team on 01204 903394 or

International applications are not possible for this course

As an international student you are not allowed to study this course because of the restrictions on your visa.

We offer a wide range of full-time courses in lots of different subjects, many of our courses start in September and January. If you would like to see what courses are available please visit our Course Search.

Our team of academic and professional staff will use a variety of teaching and learning strategies to help you gain and develop appropriate concepts, knowledge and skills. You can expect practice-based enquiry, self-directed study, lectures, seminars, tutorials, presentations and work-based learning. Scheduled sessions will be held in the evening, allowing full-time and part-time students to study together and offering opportunities for those working in professional/industrial environments to present live case studies.

It’s important to realise that the time spent with a tutor during formally scheduled activities is only a small part of the learning time identified for a module. You’ll also be expected to spend a significant amount of time in guided independent study, such as general background reading, preparing for seminar activities and working on assignments. We are committed to supporting you throughout your learning journey. Over time, our guidance will purposefully become less structured and prescriptive. This will encourage you to develop confidence and independence in your studies and take responsibility for managing your own learning time as you increase in autonomy.

The assessment strategy for the programme is designed to help you achieve the overall aims of the curriculum, as well as the learning outcomes for individual modules. As well as assessing your achievement, it helps to organise and develop your learning. Assessment feedback can help you develop your skills and an understanding of your strengths and weaknesses.

The types of assessment you’ll be required to complete fall into two general categories: formative and summative. Formative assessments help in learning and developing knowledge and skills. Summative assessments, on which grades are allocated, reflect the quality of the learning that has been achieved. Formative assessment will take place via tutorial discussion, group workshops including peer and tutor review, and guidance on work in progress. Formative feedback will be provided face-to-face via discussion, online or in written form. Summative assessments consist of both practical and applied theoretical work. These will include a range of assessments including practical projects, written work, presentations and portfolios.


The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.

  • Data Science
  • Big Data Technologies
  • Research Methods
  • Masters Project
  • Solutions Design and Ethical Practice
Assessment methods
LevelAssesment method
Level oneCoursework 100%
Learning activities
LevelLearning activity
Level oneGuided independent study 80%, Scheduled learning and teaching activities 20%


The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. The university considers changes to courses very carefully and the university will minimise any changes. Please be aware that our courses are subject to review on an ongoing basis and changes may be necessary due to legitimate staffing, financial, regulatory and academic reasons. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up-to-date and responsive to employment and sector needs. The published course material and the programme specification contain indicative ‘optional modules’ that may be subject to change due to circumstances outside of our control. For this reason, we cannot guarantee to run any specific optional module.

The academic staff detailed above teach across a range of courses in this subject area and may not teach on this course specifically.

Programme Contacts

Francis Morrissey
Programme Leader

+44 (0)1204 903530

Enquiry Team
University of Bolton

+44 (0)1204 903903

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