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MSc Data Analytics and Technologies: Extended

University of Bolton

Course Details

Data skills are in-demandA 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.

Data skills are in-demand

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.

Supporting you to become the ‘complete package’

Mastering the dataOur 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.

Mastering the data

Helping you pursue Amazon Web Services (AWS) certificationTo 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.

Helping you pursue Amazon Web Services (AWS) certification

Future-proof your careerBig 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: Extended 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.

Future-proof your career

(1) https://royalsociety.org/news/2019/05/data-science-skills-shortages/ 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 course over a different timeframe? We also offer this course full-time over 12 months or part-time over 24 months. For details of the 12-month course, please visit our full-time MSc Data Analytics and Technologies course search web page. Alternatively, to find out more and apply for the 24-month course, please visit our part-time MSc Data Analytics and Technologies course search web page.

Would you prefer to complete your course over a different timeframe?full-time MSc Data Analytics and Technologiespart-time MSc Data Analytics and Technologies
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Modules

  • Data Science
  • Big Data Technologies
  • Research Methods
  • Solutions Design and Ethical Practice
  • Masters Project
  • Requirements

    Listed below are the documents required to apply for this course.
    2 years

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024
    • September 2025

    Mode of Study

    • Full Time