OVERVIEW

This programme is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning), developing smart and insightful software agents/algorithms that can help business decision making and strategic planning for any organisation.

The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the design and development of machine learning algorithms for automation, predictive modelling, and decision making.

The programme uses a series of face-to-face lectures, hands-on workshops (using Python, Hadoop, Spark, Matlab tools) and lab-based learning as a way of acquiring an AI knowledge base. Moreover, other teaching methods, practical sessions, seminars and reflection of work-based practice to enforce learning and professional skills are also employed.



ENTRY REQUIREMENTS

START DATE(S)

ATTENDANCE

LEARNING

Find out about entry requirementsFlexible entry requirements

January 2023 September 2023

Full time, 1 year

Part time

On campus

MSc with Placement Year

ENTRY REQUIREMENTS

START DATE(S)

ATTENDANCE

LEARNING

Find out about entry requirementsFlexible entry requirements

January 2023 September 2023

Full time, 2 years

Part time

On campus

Fees and Funding

Here's the fees and funding information for each year of this course

September 2023

Attendance

Fee

Note

HomeFull time 1/2 years£10,320Per year. Year 2 Industrial Placement Fee - £3500Part time£1,720Per 30 credit moduleInternationalFull time 1/2 years£15,240Per year. Year 2 Industrial Placement Fee - £3500



OVERVIEW

This programme is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning), developing smart and insightful software agents/algorithms that can help business decision making and strategic planning for any organisation.

The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the design and development of machine learning algorithms for automation, predictive modelling, and decision making.

The programme uses a series of face-to-face lectures, hands-on workshops (using Python, Hadoop, Spark, Matlab tools) and lab-based learning as a way of acquiring an AI knowledge base. Moreover, other teaching methods, practical sessions, seminars and reflection of work-based practice to enforce learning and professional skills are also employed.



WHAT YOU'LL LEARN

Knowledge

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of emerging technologies in intelligent agents, machine learning, and deep learning.

Knowledge and understanding of contemporary tools and technologies to produce solutions relevant to the domain of artificial intelligence to meet a set of agreed requirements.

Thinking skills

Demonstrate innovative independent thinking, critical investigation, and analytical skills in the real-world problems related to artificial intelligence.

Subject-Based Practical skills

Analyse, interpret, synthesise and evaluate design methods and alternative solutions for a given problem in the diverse fields of finance, medical, and technology domain.

Identification and implementation of appropriate intelligent algorithms.

Hands on experience in algorithm design using state-of-the-art programming languages.

Skills for life and work (general skills)

Structure and communicate ideas effectively, both orally and in writing.

Work professionally as an individual and as a team player to develop creative solutions to problems.

MODULES

CORE MODULES

Artificial Intelligence & Machine Vision

Machine learning on Big Data Intelligent Systems

Mental Wealth;

Professional Life (Dissertation)

Mental Wealth; Professional Life (Dissertation)

Conduct a practical project of a Master level quality related to the scope of the selected MSc programme and develop skills appropriate for a senior computing professional. You will consider the ethical, legal, social, and professional issues, and the dissertation will require appropriate research, analysis, design, implementation, quality assurance, evaluation and project management. You will reflect on the success of the strategies that you employed to further develop your reflective skills, self-awareness, 'life style' and self-care approaches and where necessary improve your approaches.

Big Data Analytics



HOW YOU'LL LEARN

Intelligent Systems, Machine Learning, Deep Learning, and a wider range of application areas ranging from predicting modelling to decision making to fintech to computer vision.

Dr Mustansar Ali Ghazanfar is a Senior Lecturer in the Department of Computer Science and Digital Technologies (CS&DT). He is the course leader for MSc Artificial Intelligence. His main area of research includes recommender systems, predicting modelling, machine learning, deep learning, and data science. He has published more than 60 international conference and journals. His research is receiving more than one citation per day as per

Google Scholar with 1700+ citations and H-index = 22.

Dr Julie Wall is leading an Innovate UK grant in collaboration with Intelligent Voice to transform accountancy, insurance and legal services using AI and data analytics (value £473,000, subject to contract).

Dr Amin Karami has solid background in machine learning and big data and his work has been appreciated around the world. He also led various special issues and conferences in the area of AI and big data.

HOW YOU'LL BE ASSESSED

All the learning outcomes of the programme are assessed through:

Laboratory session portfolios

Group and individual coursework

Research dissertation

Examination, presentations, and reports

Use of appropriate problem-solving skills

YOUR FUTURE CAREER

Studying the MSc Artificial Intelligence programme at the University of East London will provide graduates with a solid foundation for entering careers across a broad range of specialisms in machine learning, computing and IT including:

Machine/Deep Learning Engineer

Machine/Deep Learning Scientist

Data Science Graduate Programme

Operational Data Scientist

Data Analyst (applied side)

Business Intelligence Developer

Big Data Software Engineer

Artificial Intelligence Architect

Machine Learning Architect

Machine Learning Specialist

AWS Engineer

Full Stack Software Developer

Spark Developer

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our

Career Coach portal.