MEng Engineering Mathematics 48 months Undergraduate Programme By University of Bristol |TopUniversities
Programme Duration

48 monthsProgramme duration

Tuitionfee

33,400 GBPTuition Fee/year

Main Subject Area

Engineering - GeneralMain Subject Area

Programme overview

Main Subject

Engineering - General

Degree

MEng

Study Level

Undergraduate

Study Mode

On Campus

The first two years of this course provide a background in mathematical analysis, computing and general engineering, within the overall context of mathematical and data modelling. You will also gain experience in practical problem-solving and teamwork as well as an introduction to professional practice. These skills will form the basis of the later years of study.

After your first two years, you can choose from a wide range of specialist options from across engineering, mathematics, data science and intelligent and robotic systems, to fit your interests. You will be taught by some of the leaders of research in these topics.

A major focus of the course and a key strand throughout the curriculum is real-world problem solving, spanning many different application areas from robotics and social media to medicine and environmental modelling. In your third year, the problems come from our industrial or external collaborators and address fresh challenges of current concern. Working on these case studies, using theory and techniques from across your studies, you will hone your skills in mathematical and data modelling as well as professional teamwork and communication skills.

A highlight of the degree is your individual final-year project- a chance to contribute to the cutting edge of research into a topic of interest to the wider stakeholders of our degree. This highly creative, challenging, yet enjoyable experience provides excellent preparation for your future career.

Programme overview

Main Subject

Engineering - General

Degree

MEng

Study Level

Undergraduate

Study Mode

On Campus

The first two years of this course provide a background in mathematical analysis, computing and general engineering, within the overall context of mathematical and data modelling. You will also gain experience in practical problem-solving and teamwork as well as an introduction to professional practice. These skills will form the basis of the later years of study.

After your first two years, you can choose from a wide range of specialist options from across engineering, mathematics, data science and intelligent and robotic systems, to fit your interests. You will be taught by some of the leaders of research in these topics.

A major focus of the course and a key strand throughout the curriculum is real-world problem solving, spanning many different application areas from robotics and social media to medicine and environmental modelling. In your third year, the problems come from our industrial or external collaborators and address fresh challenges of current concern. Working on these case studies, using theory and techniques from across your studies, you will hone your skills in mathematical and data modelling as well as professional teamwork and communication skills.

A highlight of the degree is your individual final-year project- a chance to contribute to the cutting edge of research into a topic of interest to the wider stakeholders of our degree. This highly creative, challenging, yet enjoyable experience provides excellent preparation for your future career.

Admission Requirements

36+
6.5+
67+
88+
168+
Typical offer

A-level standard offer: AAA including Mathematics, or A*AB including A in Mathematics
A-level contextual offer: ABB including A in Mathematics



English language requirements

If English is not your first language, you need to have one of the following:
• IELTS 6.5 overall with 6.0 in all skills
• GCSE English Language grade C or 4
• an alternative qualification outlined in our Profile level E.

4 Years
Sep

Tuition fees

Domestic
9,535 GBP
International
33,400 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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