MRes Applied Artificial Intelligence
Course Overview
This University of Bolton's Masters by Research degree in Applied Artificial Intelligence is a multidisciplinary research training programme which has been designed to be truly novel and sui generis. It has been designed to inspire the imagination and foster creativity while providing rigorous training in advanced research skills and deep subject knowledge.This MRes in Applied Artificial Intelligence prepares students to become domain-specific AI experts, equipping them with cutting-edge AI research skills to revolutionize various fields through data-driven innovation.
The programme is delivered through a staged and flexible approach enabling you to develop research skills as preparation for a PhD or Professional Doctorate. Embedded within the programme is collaborative research, which prepares you for research within employment. Opportunities will be available for students to undertake applied research projects involving knowledge exchange.
The MRes programme will provide a common foundation for PhD or Professional Doctorate programmes with interim award available following the gaining of 60 credits (PgCert) and an exit award of the 180 credit MRes.
Highlights
- The MRes Applied Artificial Intelligence has been carefully designed to allow you to develop a systematic and critical knowledge and understanding of computing though the study and application of advanced research methods and skills using a scaffolded approach to learning.
- A collaborative practical research project allows you to work with others to develop creative solutions to a real-world problem.
- The MRes research project provides the opportunity for you to undertake in-depth independent and original research or advanced scholarship on a subject of interest within the field of applied artificial intelligence.
- A range of academic and professional assessments which are carefully planned throughout the student journey
- A selected and active team of researchers with various specialisms to help provide both research and academic support; small class sizes encourage direct contact with the researchers; as we are focused on making you a relevant and active researcher.
- We are rapidly developing active partnerships in industry, public sector and the international sector like the North West Ambulance Service (NWAS), World Trade Organisation (WTO) etc.
- Participation in conferences like the IEEE conferences etc. giving you further opportunities to expand your research output and network.
- Successful graduates will be eligible to apply for advanced standing onto PhD and doctoral study.
Key Features
- The Centre of Intelligence of Things staff have a wide range of professional and research experience spanning different domains of Computer Science – Internet of Things (IOT), Applied Machine Learning, Software Engineering, Embedded Computing etc.
- Access to a growing number of Computer and Embedded Computing equipment available for testing and creating research prototypes.
- A publication-centric approach to research and collaboration.
- We will support you in developing a systematic understanding of knowledge, and a critical awareness of current problems and/or new insights within applied artificial intelligence.
- We'll guide you as you develop the ability to deal with complex issues both systematically and creatively, make sound judgements in the absence of complete data, and communicate the conclusions of the research clearly to specialist and non-specialist audiences.
- Demonstrate advanced understanding of how established techniques of research and enquiry can be practically applied to create and interpret knowledge in the discipline.
- You will evaluate and critically apply current research and advanced scholarship in the discipline, evaluate methodologies and develop critiques to develop creative solutions and/or hypotheses.
- Through a blended learning approach, you will develop the qualities and transferable skills necessary for employment requiring the exercise of initiative and personal responsibility; and decision-making in complex and unpredictable situations.
- You will develop critical self-awareness and independent learning strategies in order to develop academically and professionally.
- This MRes in Applied AI prepares students to become domain-specific AI experts, equipping them with cutting-edge AI research skills to revolutionize various fields through data-driven innovation.
Entry Requirements
- You are normally expected to have successfully completed an honours degree (or equivalent) in a relevant subject (minimum classification 2.2 or equivalent).
- You should include in your personal statement an explanation of your research interests and how they align with your career aspirations; you may be required to attend an interview to discuss this further.
- If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications – please visit our English Language Requirements web page for more details.
Where changes are made to material information contained in this course description or a decision is taken to suspend a course between the offer of admissions and enrolment, we will inform applicants at the earliest possible opportunity and will outline the various options available to the applicant.
Career Opportunities
You will develop transferable skills of independent thought and critical analysis, analysing and evaluating complex issues and solving unfamiliar problems, presenting ideas clearly and with confidence, and working independently.
What can I do with this qualification?
Alternative career options
Here are some career options you can pursue with an MRes. Please bear in mind that some of these options require prior experience and/or additional qualifications).
- Scientific Advisor/Manager
- Academic Research Assistant
- Research and Development Technician/Assistant
- Market Researcher
- Researcher
- Research Analyst
- Research Advisor/Manager
- Public relations
- Information systems
- Market research analysis
- Product management
Fees & Funding
Home/EU Fees
No fee information is currently available, please contact the University of Bolton’s Academic Fees team by emailing AcademicFees@bolton.ac.uk for more information.
International Fees
No fee information is currently available, please contact the University of Bolton’s Academic Fees team by emailing AcademicFees@bolton.ac.uk for more information.
Bursaries
Click here for more information on our Master's Bursaries.
Important note regarding tuition fees: EU nationals who meet residency requirements (have settled or pre-settled status) may be eligible for 'Home' fee status. If you do not meet these residency requirements, overseas fees will apply. Irish citizens living in the UK or Ireland will be eligible for 'Home' fee status under the Common Travel Area arrangement. Please read the student finance for EU students web page on www.gov.uk for information.
The fees for a student's course of study will be set for the normal duration of that course subject only to inflationary increases – measured by the Consumer Price Index (CPI) recorded in March each year to take effect for subsequent start dates.
How to apply
Home Applicants
Call Admissions
Please contact Admissions by telephone on 01204 903903 or email enquiries@bolton.ac.uk
Admissions
University of Bolton
Deane Road
Bolton, BL3 5AB
United Kingdom
Tel: 01204 903903
Email: enquiries@bolton.ac.uk
International Applicants
The University welcomes applications from international students from all over the world. We try to make the application process as simple and as fast as possible for our international applicants.
This course is not currently accepting international online applications.
Please contact Admissions by telephone on 01204 903903 or email enquiries@bolton.ac.uk
Admissions
University of Bolton
Deane Road
Bolton, BL3 5AB
United Kingdom
Tel: 01204 903903
Email: enquiries@bolton.ac.uk
Teaching & Assessment
The bespoke programme will be delivered using a blended learning approach, combining face-to-face block delivery sessions with online and practical work as appropriate. A range of learning and teaching methods will be employed, including (face-to-face or online) lectures, seminars, tutorials, discussion groups, guest speakers and master classes. A significant amount of personal study time is expected to be undertaken by the student comprising, for example, background reading, online activities, assessment work and preparation for sessions.
Assessment methods
The assessment strategy for the programme is designed to ensure that students achieve the overall aims and learning outcomes of the programme, as well as the learning outcomes for individual modules. Assessment serves several functions. Assessment is used to evaluate your achievement; however, assessment also serves to help students organise and develop their learning. Feedback from assessment serves an important educational function and can help students develop their skills and understanding of their own strengths and weaknesses. The types of assessment students will be required to complete fall into two general categories, formative and summative. Formative assessments are activities that do not contribute to students' overall module grade. They are however an integral part of the learning strategy for a module and students are required to complete them. Students will receive feedback on their level of achievement; this may take a variety of forms. Summative assessments are those assessment activities for which the marks will contribute to the overall module grade. Students will also receive feedback on these assessments so that they will know what they have done well and where they can improve. Many different forms of assessment are employed on the programme. For both formative and summative purposes, the major forms are: coursework; reports, case studies; oral presentations, research proposals and an extended project.
Learning Activities
A range of learning and teaching methods will be employed, including lectures, seminars, tutorials, discussion groups, assessment work and preparation for sessions. Assessment will be by a combination of coursework and practical exercises, such as the preparation of presentations and posters. A final research project will form part of the assessment. A significant amount of personal study time is expected to be undertaken by the student comprising, for example, background reading, online activities. This programme adopts a blended style of learning and teaching including online delivery and engagement where appropriate.
Modules
The modules listed below may be a mixture of compulsory and optional. You may not have the opportunity to study all the modules shown as part of the course.
- Academic Skills and Professional Development
- MRes Specialism: Critical Insights
- Advanced Research Methodology
- Collaborative Project
- Research Project
Assessment methods
| Level | Assessment method |
|---|---|
| Level 1 | Coursework 88% Practical exams 12% |
Learning Activities
| Level | Activity |
|---|---|
| Level 1 | Guided independent study 90% Scheduled learning and teaching activities 10% |
The university will use all reasonable endeavours to deliver your course as described in its published material and the programme specification for the academic year in which you begin your course. The university considers changes to courses very carefully and the university will minimise any changes. Please be aware that our courses are subject to review on an ongoing basis and changes may be necessary due to legitimate staffing, financial, regulatory and academic reasons. The content of course modules and mode of associated assessments may be updated on an annual basis. This is to ensure that all modules are up-to-date and responsive to employment and sector needs. The published course material and the programme specification contain indicative ‘optional modules’ that may be subject to change due to circumstances outside of our control. For this reason, we cannot guarantee to run any specific optional module.
