Department of Computer Science | MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering) 12 months Postgraduate Programme By Durham University |TopUniversities

Department of Computer Science | MSc Scientific Computing and Data Analysis (Artificial Intelligence for Engineering)

Programme Duration

12 monthsProgramme duration

Tuitionfee

34,500 GBPTuition Fee/year

Starting Month

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:
  • 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:
  • 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
  • In Engineering OR
  • In Computer Science OR
  • In any natural science with a strong quantitative element.
We encourage applicants to select a specialisation area that aligns with their background. Please note that standard business degrees do not provide the necessary mathematical foundation.

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.

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