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MSc Data Science and Artificial Intelligence (Online)


University of Liverpool Online Programmes

Summary

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Study method
Online
Duration
30 months · Self-paced
Qualification
Level 7 Master's degree
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Additional info
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Overview

Pursue a career in this high-demand sector while gaining a deep and systematic understanding of the domains of data science and AI with this fully online, part-time Data Science and Artificial Intelligence MSc from the University of Liverpool.

This conversion degree is designed for students from a non-computer science background, allowing you to gain a generalist masters in this specialist subject. The fields of data science and artificial intelligence continue to grow in importance to businesses from all sectors, and this programme benefits from the University of Liverpool’s cutting-edge research in this discipline.

Qualification

Level 7 Master's degree

Course media

Description

This programme will provide you with a systematic insight into the current state of the industry within the remit of data science and artificial intelligence in particular, and computer science in general. The programme will complement your first-degree knowledge with a deep and systematic insight into these innovative domains.

The MSc programme is accredited by the BCS, The Chartered Institute for IT, for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.

Through this course you will:

  • Achieve a generalist degree in a specialist subject. This conversion degree is designed to provide students from a non-computer science background with a specialist set of knowledge and technical skills that have immediate application within the workplace.
  • Develop your skills in a culture of research excellence. The University of Liverpool is globally renowned for the strength of its research into artificial intelligence and, through our Digital Innovation Facility, provides a home for world-leading academic research into a broad spectrum of emerging technologies.
  • Study practical solutions to real-world problems. This programme will provide you with the necessary knowledge to research, propose and implement creative solutions to practical problems, and furnish you with a systematic insight into current thinking within data science and AI.
  • Access our online development environment to practice and refine your new skills. Throughout your programme, you will be exposed to state-of-the-art technologies and have access to industry-standard solutions, available to you as cloud services, open-source software or commercials technology; all included within your tuition fee.

Module information

The Data Science and Artificial Intelligence MSc consists of the following taught modules and a final dissertation project.

  • Global Trends in Computer Science (15 credits)
  • Mathematics and Statistics for Data Science (15 credits)
  • Software Development in Practice (15 credits)
  • Databases and Information Systems (15 credits)
  • 3 elective modules from (3x15 credits):
    • Reasoning and Intelligent Systems
    • Machine Learning in Practice
    • Multi-Agent Systems
    • Robotics
    • Deep Learning
    • Natural Language Processing and Understanding
    • Deep Learning (15 credits)
  • Research Methods in Computer Science (15 credits)
  • Computer Science Capstone Project (60 credits)

There is a brief break scheduled between modules to allow students to refresh themselves and reflect on what they have learned.

Shorter postgraduate diploma (120 credits) and postgraduate certificate (60 credits) awards are also available in this subject.

Learn from industry experts.

Computer science at the University of Liverpool is research-driven and internationally renowned for its cutting-edge work. The 2021 Research Excellence Framework rated us 5th in the UK for world leading (4*) research outputs, and 100% of research environment rated as world-leading (4*) or internationally excellent (3*). We are especially well-regarded for our expertise in artificial intelligence, and our Digital Innovation Facility, which officially opened in 2022, provides a further hub for our collaborative research in emerging technologies.

Enhance your career opportunities.

Successful completion of the programme will allow you to take up careers in the growing area of data science and artificial intelligence, or in many other computer science settings, including interdisciplinary roles related to your undergraduate degree. The skills you develop will be of use in a wide range of industries including healthcare, government agencies and technology. Potential job titles are varied, and include examples such as data analyst, data scientist, database manager, machine learning practitioner and IT consultant.

Learn online anytime, anywhere.

Get the University of Liverpool experience wherever you are in the world. This 100% online course features interactive classes and regular contact with staff and fellow students across the globe. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online. On this platform, you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of eBooks and journals.

Assessments are exclusively through online assignments rather than examinations. You will be assessed through a range of activities, including written assignments, discussion forum participation and journal entries.

Love what you've read so far?

Visit our website for more information on this programme, you can also contact one of our admission advisers to get your questions answered.

One of the best ways to see if the programme is right for you is to join one of our regular virtual events where you will be introduced to our range of online programmes, our online learning facilities, and Q&A’s with staff to help you make the best decision about the future of your education.

Who is this course for?

The programme will allow students to build on their existing undergraduate degrees, and upskill their portfolio of abilities, in the context of current thinking in the domain of data science and AI. More specifically the programme will provide students with a comprehensive insight into the modern data analytics landscape with a focus on data science and AI.

Requirements

Applicants should possess either:

(i) a degree in any subject equivalent to a UK Bachelor’s degree (2:2 or above), or

(ii) at least 2 years experience in employment, which would normally be of a technical nature, comparable with the award of a bachelor’s degree.

All applicants must provide evidence that they have an English language ability equivalent to an IELTS (academic) score of 6.5.

Career path

Employment opportunities within data science and AI far outstrip the supply of qualified data science graduates. The Data Science and Artificial Intelligence MSc programme will address this skills gap by providing graduates with employment opportunities across the sector with a focus on, but not limited to, career opportunities within the field of data science and AI.

Questions and answers

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.