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data science

Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

Overview

The demand for data scientists is ever rising. A report by Harvard Business Review suggests that the shortage of data scientists has become a serious constraint in certain sectors, leading the authors to claim Data Scientist as the Sexiest Job of the 21st Century.

Data Scientists carry out applied research to create innovative data-driven solutions to business problems. Usually, they work with large, complex, varied, and unstructured data sets that are not suitable for using traditional data analysis approaches and techniques. This programme is specifically designed to enable you to develop this in-depth technical knowledge that will allow you to discover new data-driven solutions.

Key Facts

  • Develop in-demand skills to work in a range of roles in the IT industry
  • Enhance your knowledge in the application of programming language, big data and machine learning on cloud
  • Designed to meet the accreditation criteria of BCS, the Chartered Institute for IT for the purposes of meeting the academic requirement for registration as a Chartered IT Professional

What will I study?

To accelerate your learning, you will be exposed to theories, methods, tools, and technologies (including SQL, MySQL, Python, R language or similar) relating to the design, development and testing of data science applications for business intelligence.

You will train and deploy distributed machine learning models using a cloud-based platform such as Google Cloud, Microsoft Azure or AWS or similar and machine learning technology using TensorFlow. You will also be exposed to the fundamental concepts, principles, technologies, and techniques of big data analytics.

You will be able to apply this knowledge and skill in your context, and critically analyse the implementation and recommend future improvements. Recognising that information governance and cyber security are critical to the adoption and use of computing systems in businesses and organisations, you will also cover fundamental concepts, principles, techniques and tools of information governance and cyber security.

How will I be taught and accessed?

  • Teaching is delivered through a mix of lectures, workshops, labs, seminars and tutorials, totalling between 10-12 hours per week.
  • You're expected to engage in independent study and self-directed learning, around 30-32 hours per week.
  • The programme is 100% assessed through coursework, including critical report writing, portfolio, projects and a physical artefact such as a programme or a database.
  • Taught by experienced lecturers and academics who use their industry experience to demonstrate how theories translate into real-life situations.
  • Technology-enhanced learning is embedded throughout the course to guide your preparation for seminars and independent research
  • Benefit from weekly academic support sessions designed to build your ability and confidence as an academic learner
  • You will be assigned a guidance tutor at induction who you will meet with regularly during your studies

Career and further study

This master's programme has been designed to ensure that graduates from the programme will be equipped to work in a variety of careers in the cyber security/IT industry or to progress to academic or research-orientated careers.

Upon successfully completing your course, you may undertake further professional development and training through Professional Pathways programmes

This course will equip you with the theoretical and algorithmic basis for understanding learning systems and the associated issues with very large datasets/data dimensionalities. You will be introduced to algorithmic approaches to learning from exemplar data and will learn the process of representing training data within appropriate feature spaces for the purposes of classification.

In this module, you will develop new knowledge and skills in leadership in a digital context. These capabilities are essential for your career development as they enable you to become competent at the visioning, development and deployment of technological strategies and responses to challenges and opportunities in complex organisational environments.

This module is designed to ensure you have the skills and knowledge to complete a postgraduate research project, relevant to Big Data and Data Science Technology and your career or future aspirations. As such, you will work closely with tutors and our careers and professional development specialists to consider the future opportunities post completion of your degree. You will develop a career plan and reflect on your learning considering how your learning from this module and the programme can accelerate the achievement of this plan.

The module aims to provide you with a critical review of the theory and practice of machine learning on the cloud platform. You will critically analyse the capabilities of machine learning and apply its methods and techniques to discover patterns for trends analysis.

This module provides you with in-depth coverage of fundamental concepts and principles of big data and the analytical techniques and technologies used for big data analytics.

How to find out more

Enquire now to find out more information about the course, studying with us, the application process, and to ask any other questions you may have.

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Course Information

  • Level of study:

    Post-graduate

  • 2021/22 Tuition fee:

    UK/Home Fee: £7,350

    International Fee: £16,000

  • Entry requirements:

    Minimum of GCSE or Equivalent.

  • Mode of study:

    Full-time classroom

  • Duration:

    1 year

  • Assessment methods:

    Coursework

  • Scholarship or bursaries:

    Available

  • Payment plan:

    Available

  • Starts:

    January, May, September

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