MSc Artificial Intelligence
Course overview
Start date
September 2021
Subject area
Computing
Attendance
Full-time
Part-time
Learning
On campus, dual delivery
Course summary
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 the deeper knowledge and advanced skills that will allow them to contribute to the development and design of machine learning automation and predictive modelling. The programme uses a series of face-to-face lectures, workshops and lab-based learning as a way of securing a knowledge base; whereas other teaching methods, practical sessions, seminars and reflection of work-based practice to enforce learning and professional skills are also used.
Return to campus: dual delivery
In a Covid-secure environment, enjoy learning on our state-of-the-art campuses and flex between online delivery
Find out moreEnhanced knowledge
Integration of concepts, techniques and applications to enhance students’ knowledge and skills in the intelligent systems’ pipeline.
Practical experiences
Gain advanced theoretical and specialist practical knowledge of progressive and emerging topics and application areas ranging from computer vision to Fintech.
Innovative technology
Create innovative solutions through the integration of a range of standard and specialised Intelligent Systems, Machine Learning, and Deep learning tools/technologies
What we're researching
The University of East London is conducting top-notch research in the broader area of Artificial Intelligence (AI), ranging from Fintech to stock market prediction, to computer vision to inventing scalable intelligent algorithms to solve the large-scale big data problem. According to Google Scholar's index, the University's AI research is attracting more than one scholarly citation per day globally. The University has strong research collaborations with other academic and industrial institutions; such as the University of Oxford, Queen Mary, University of Southampton, Accenture, Microsoft, and Amazon. The department is producing cutting edge research in the areas including stock market prediction, insurance fraud detection, recommender systems, cyber security using AI, and neural networks.
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 an emerging scientist in the field of AI with 50+ international articles, h-index = 11, and citation count of more than 700 in Google Scholar.
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.
Entry requirements
We would normally expect you to have Grade C in GCSE English and Maths.
If you do not meet the academic English language requirements for your course, you may be eligible to enrol onto a pre-sessional English programme. The length of the course will depend on your current level of English and the requirements for your degree programme. We offer a 5-week and an 11-week pre-sessional course. Find out more.
Please note that some courses require applicants to meet the entry requirements outlined on the course page. Our pre-entry Information Advice and Guidance Team are able to provide further advice on entry requirements and suitability for study.
What you'll study and when
We consistently review and develop our courses and modules to ensure they are up-to-date with sector and industry graduate skills demands. Course structure, modules and options are subject to change.
- Artificial Intelligence and Machine Vision
- Intelligent Systems
- Machine Learning and Big Data
- Big Data Analytics
- Mental Wealth; Professional Life (Dissertation)
- Industrial Placement
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
- 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.
