Computer Science or Computer Science AI pathway (MSc)

University of Nottingham the United Kingdom

For more information about Computer Science or Computer Science AI pathway at University of Nottingham, please visit the webpage using the button above.

The award

How long you will study
1 Years

Domestic course fees
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How you will study

Course starts

International course fees
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All study options

About Computer Science or Computer Science AI pathway at University of Nottingham

This course offers the following two pathways, preparing you for a highly skilled career in industry and/or research.

  • If you have a background in computer science or a related subject, this course is an ideal next step, with a variety of optional modules covering the school's research strengths such as artificial intelligence and human-computer interactions
  • If you have a background in other subjects, modules in the first semester prepare you with fundamentals in computer science, ready for taking various optional modules in the second semester

MSc Computer Science (Artificial Intelligence)

You have the option to tailor your degree with AI once you have registered. During your study, you are required to study 40 credits of AI modules, as well as to undertake the Research Project in Computer Science (AI) module. This allows you to graduate with the degree titled MSc Computer Science (Artificial Intelligence).

We have been teaching AI for over 10 years so you can be assured you'll be learning from the experts. Please note that the addition of '(Artificial Intelligence)' when choosing this option of the MSc Computer Science is not considered a different degree for funding purposes.

In the application portal, please select MSc Computer Science. 

Research project

During the summer period, you will undertake an individual research project. This could be software-based or research-based. Collaboration with business, industry, and other outside bodies is encouraged.

This course is linked to the school’s research groups:

  • Agents Laboratory
  • Automated Scheduling, Optimisation and Planning Group
  • Computer Vision Laboratory
  • Data Driven Algorithms, Systems and Design
  • Functional Programming Lab
  • Intelligent Modelling and Analysis
  • Lab for Uncertainty in Data and Decision Making
  • Mixed Reality Laboratory

Our broad research means we can offer a variety of projects crossing the spectrum of computer science.

Past project titles have included:

  • Autonomous robot navigation and path following via RFID tag detection
  • Deep Learning for Plant Phenotyping
  • A multi-platform mobile application to prevent and cure obesity in Mexico
  • Real world neural networks for interactive music composition in real time

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMScHow you will studyFull-timeHow long you will study1 year
    Course startsSeptemberDomestic course fees find outInternational course fees find out

Entry requirements

2:1 (or international equivalent) with evidence of interest or aptitude for programming; graduates from a science or engineering background will be considered with a 55% average mark.

IELTS: 6.5 with at least 6.0 in each element.

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