MSc Artificial Intelligence (Machine Learning)

About this course

A very topical course, combining theory and practical aspects of machine learning with a view to forming capable professionals for the jobs market in this field.

• Embark on this newly developed course on a topic of great recent and predicted growth
• Explore the theory of machine learning and practical applications
• Benefit from studying both the practical focus and real industrial applications - this is one of a small number of such courses available
• Learn from academics with substantial experience in machine learning and industrial collaboration

Machine Learning is the scientific study of the ways in which computer systems can be programmed to perform a specific task without using explicit instructions, relying on patterns and inference instead through algorithms and statistical models.

This course is unique in combining theoretical and practical aspects of Machine Learning that will prepare graduates for a career in Industry or Academia. Modules include both aspects throughout the programme and prepare graduates for a variety of roles in Machine Learning development and deployment.

Course modules

Discover the building blocks of your programme

Further guidance on modules

Modules are designated core or optional in accordance with professional body requirements, as applicable, and LJMU’s Academic Framework Regulations. Whilst you are required to study core modules, optional modules provide you with an element of choice. Their availability may vary and will be subject to meeting minimum student numbers.

Where changes to modules are necessary these will be communicated as appropriate.

Core modules

• Research Methods (20 credits)
  • The aim of this module is to develop your knowledge of effective and academic research design at Masters level and provide guidance on the purpose and design of literature reviews; the use of theory; writing strategies; citation and ethical considerations. It provides an understanding of how the range of qualitative, quantitative and mixed method data approaches can be most appropriately applied. It provides the knowledge and research skills you need to:
    • establish the most effectual research design and method for the dissertation project and write a successful research proposal
    • prepare for the project module and for a possible future research career
• Project Dissertation (60 credits)
  • This module aims to develop your ability to plan, execute and report in-depth on a major investigation.
• Foundations of Machine Learning (20 credits)
  • This module provides fundamental skills required in machine learning to solve real-world problems. These skills will help to equip the student with the fundamental principles of machine learning to support advanced topics taught in the course. Furthermore, these skills will be practical core requirements for a successful career as a machine learning engineer in industry.
• Deep Learning Concepts and Techniques (20 credits)
  • This module provides fundamental skills required in deep learning to conduct a wide variety of projects from signal processing to object detection and segmentation.
• Accelerated Machine Learning (20 credits)
  • This module provides the key skills required in accelerated machine learning to solve large scale machine learning problems. These skills will help to equip you with the fundamental principles of accelerated machine learning to support your final degree project. Furthermore, they will be practical core requirements for a successful career as a machine learning engineer in industry.
• Advanced Topics in Deep Learning (20 credits)
  • This module provides advanced skills required in deep learning to conduct a wide variety of projects in signal processing, object detection, natural language processing and time series analysis. These skills will help to equip you with advanced skills in deep learning. They are practical core requirements for a successful career as a deep learning engineer in industry.
• Enterprise Machine Learning (20 credits)
  • This module provides a best-practice set of enterprise tools for deploying large-scale machine learning projects. This will help to equip you with enterprise ready skills needed to deploy large-scale machine learning projects in industry.

Your Learning Experience

Teaching Assessment

Study Hours

Students should expect between nine and 12 hours of contact per week, in addition to an average of approximately 30 hours of self-study per week throughout the academic year. In the summer term, you will work solely on your project, which has an expected workload of 600 hours.

Teaching Methods

You'll gain core knowledge and understanding on this course via lectures, tutorials, practicals, coursework, projects, seminars and guided independent study. You will also receive feedback on all work you produce.

Career paths

Further your career prospects

LJMU has an excellent employability record with 94% (HESA 2022) of our postgraduates in work or further study fifteen months after graduation. Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.

As a machine learning graduate, you can expect to be responsible for creating software, algorithms and mechanisms that support intelligent systems, that can learn and develop themselves as they operate. Self-driving cars, pattern recognising predictive systems, for instance, are examples of such systems. Machine Learning medical systems that can recognise patterns to predict health outcomes are becoming increasingly relevant for medical prediction and diagnosis.

You will provide computers with the automatic ability to learn, fine tune and improve performance with their own experience.

In addition, there are huge opportunities in research, both academic and in industry, developing new algorithms, systems and conducting experiments on intelligent systems.

Tuition fees and funding

Home

• Full-time per year: £10,250

International

• Full-time per year: £18,250

Entry requirements

Home

• A 2.2 Bachelors Honours degree in a cognate subject area
• A 2.2 Bachelors Honours degree in a non-cognate subject area when supplemented by relevant skills and / or experience
• Degree equivalent professional qualifications, e.g. BCS Professional Graduate Diploma in IT
• A HND plus a minimum of three years of relevant professional experience

International

• IELTS score of 6.0 (5.5 each component)

How to apply

Securing your place at LJMU

To apply for this programme, you are required to complete an LJMU online application form. You will need to provide details of previous qualifications and a personal statement outlining why you wish to study this programme.

---

Overview:

Liverpool John Moores University (LJMU) is a public university located in Liverpool, England. It is a large and diverse institution with a strong focus on providing high-quality education and research opportunities.

---

Services Offered:

LJMU offers a wide range of services to its students, including:

Accommodation:

On-campus and off-campus accommodation options are available for students.

Student Support:

The university provides comprehensive support services, including academic advising, career counseling, financial aid, and mental health resources.

Library:

LJMU has a well-equipped library with extensive resources and study spaces.

Student Futures:

This service helps students with career planning, job searching, and employability skills development.

International Student Support:

Dedicated support is available for international students, including visa guidance and cultural adjustment programs.

---

Student Life and Campus Experience:

LJMU offers a vibrant and engaging campus experience for its students. Key aspects include:

Sports, Societies, and Lifestyle:

Students can participate in a wide range of sports clubs, societies, and social events.

Campus:

The university has multiple campuses located in Liverpool, providing a diverse and stimulating environment.

Go Abroad:

LJMU offers opportunities for students to study abroad and gain international experience.

Volunteering:

Students can engage in volunteering activities and contribute to the local community.

---

Key Reasons to Study There:

Strong Academic Reputation:

LJMU is known for its high-quality teaching and research.

Diverse Programs:

The university offers a wide range of undergraduate and postgraduate programs across various disciplines.

Location:

Liverpool is a vibrant and culturally rich city, providing students with a stimulating and enjoyable living experience.

Student Support:

LJMU provides comprehensive support services to ensure student success.

---

Academic Programs:

LJMU offers a wide range of academic programs, including:

Undergraduate:

Bachelor's degrees in various fields, including business, law, health sciences, engineering, and the arts.

Postgraduate:

Master's degrees, PhD programs, and other postgraduate qualifications.

Degree Apprenticeships:

Programs that combine work experience with academic study.

Continuing Professional Development:

Short courses and programs for professionals seeking to enhance their skills.