Department of Computer Science | MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering)
12 monthsProgramme duration
34,500 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:
The MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:
- Implementation and application of fundamental techniques in an area of specialisation (in addition to AI for Engineering, we offer options in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)
- Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
- Mathematical aspects of machine learning and the simulation and analysis of mathematical models
The MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:
- Design and implement AI solutions for engineering problems.
- Apply deep learning and optimisation techniques to engineering systems.
- Integrate AI with physical models and engineering principles. Develop robust software implementations. You can find out more here.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:
The MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:
- Implementation and application of fundamental techniques in an area of specialisation (in addition to AI for Engineering, we offer options in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)
- Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
- Mathematical aspects of machine learning and the simulation and analysis of mathematical models
The MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:
- Design and implement AI solutions for engineering problems.
- Apply deep learning and optimisation techniques to engineering systems.
- Integrate AI with physical models and engineering principles. Develop robust software implementations. You can find out more here.
Admission Requirements
120+
4.5+
62+
6.5+
176+
All streams require a 2:1 BSc (Honours) degree or international equivalent
Additional requirements
- In Engineering OR
- In Computer Science OR
- In any natural science with a strong quantitative element.
Additional requirements
- Applicants must demonstrate strong programming skills in at least one compiled language, preferably C or C++, although Rust, Java, C#, Fortran, or Pascal are also acceptable. Proficiency in Python may suffice if the applicant has a strong background in their chosen specialisation. Those lacking experience in C or C++ are advised to enrol in our pre-sessional course.
- Additionally, we require knowledge of undergraduate-level mathematics, covering linear algebra, calculus, and statistics.
1 Year
Sep
Tuition fees
Domestic
15,000 GBP
International
34,500 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:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
By Sabrina Collier
Updated Aug 29, 2024
990.0K
2237
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
By Staff Writer
Updated Aug 21, 2024
501.6K
788
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
By Laura Tucker
Updated Aug 14, 2021
226.5K
335
More programmes from the university
Postgrad Programmes
170
Get closer to your dream programme
Your consent preferences have been set.
Time to start exploring.
Your account has been removed.
You can still browse the site or sign up again once you have parental consent.
Get closer to your dream programme