menu icon
Book your open day visit nowClick to book open day
MSc Data Analytics and Technologies: Extended

MSc Data Analytics and Technologies: Extended

Different course options

Study mode

Full time


18 months

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type


Course Summary

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. The University of Bolton's MSc Data Analytics and Technologies: Extended is open to computing graduates and those with extensive relevant work experience 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.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

You should have at least a lower second class (2.2) honours degree (or equivalent) in a computing-related subject or five years of relevant work experience.