MSc Computer Science
Lincoln, United Kingdom
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
* most of our postgraduate courses have no specific closing date for applications. Please allow enough time for your application to be considered prior to the start date. If you are an international student you may need to factor in time for your visa application. We would advise you to apply as soon as possible
Key Summary
About: The MSc Computer Science at The University of Lincoln prepares you in AI, computer vision, cloud computing, machine learning, robotics, mobile computing and cybersecurity. Through lectures, lab workshops, debates and independent research you'll strengthen programming, algorithms, mathematical frameworks and practical skills. You’ll work with staff including experts in intelligent robotics and image engineering and access equipment like Raspberry Pi, smartphones, robots and VR headsets (HTC Vive, Oculus Quest). Information correct at time of publishing (October 2024).
Career Outcomes: Graduates can pursue roles in software engineering, AI/machine learning, computer vision, cloud computing, cybersecurity, robotics, mobile development, data science, PhD research
Developments in artificial intelligence, computer vision, cloud computing, machine learning, and cybersecurity have all become a normal part of society’s interaction with computing devices.
This Master&rsquo's program is designed to equip students with the advanced knowledge and skills needed to develop the innovative solutions required by today’s rapidly advancing computing industry.
Through laboratory workshops, lectures, debates, and independent research, this MSc Computer Science provides the opportunity for students to enhance their existing knowledge of computer programming and mathematical frameworks.
Working alongside academic staff, students have the chance to develop a critical understanding and gain practical experience in innovative areas such as computer vision and surveillance, cloud computing, robotics, mobile computing, machine learning, and cybersecurity in order to develop advanced solutions to current and future challenges.
Special Features
There is a range of equipment for loan, including Raspberry Pi devices, smartphones, robots, and virtual reality equipment such as HTC Vive and Oculus Quest.
Researchers in the School of Computer Science include Marc Hanheide, Professor of Intelligent Robotics and Interactive Systems, and Nigel Allinson MBE, Distinguished Professor of Image Engineering, who has been supported with a £3.3 million grant from the UK&rsquo's Engineering and Physical Sciences Research Council for advances in medical imaging.
"This information was correct at the time of publishing (October 2024)"
- Advanced Artificial Intelligence (Core)
- Advanced Machine Learning (Core)
- Advanced Programming (Core)
- Advanced Software Engineering (Core)
- Computer Vision (Core)
- Frontiers of Computer Science Research (Core)
- Information Systems Security (Core)
- Research Methods (MSc Computer Science) (Core)
- Research Project (Core)
Accreditations and Memberships
This course is accredited by the British Computer Society.
How You Study
The teaching and learning strategy adopted within the MSc Computer Science derives from a methodology designed to develop knowledge and understanding in the domain of computing.
In particular, students can experience a blend of different approaches. The programme aims to enable the acquisition of skills through practical workshops in the laboratory and develop academic knowledge through debate, lectures, discussion, and personal research.
Modules assume familiarity with programming concepts and the supporting mathematical framework while presenting advanced concepts relating specifically to the computing domain.
The programme offers two approaches depending on the time of entry:
The October intake will take the following structure:
Semester A
- Advanced Programming (Core)
- Advanced Artificial Intelligence (Core)
- Advanced Cyber Security (Core)
Semester B
- Computer Vision (Core)
- Frontiers of Computer Science Research (Core)
- Machine Learning (Core)
- Advanced Software Engineering (Core)
Semester C
- Research Project (Core)
- Research Methods (Core)
February intake will take the following structure:
Semester B
- Computer Vision (Core)
- Frontiers of Computer Science Research (Core)
- Machine Learning (Core)
- Advanced Software Engineering (Core)
Semester C
- Research Project (Core)
- Research Methods (Core)
Semester A
- Advanced Programming (Core)
- Advanced Artificial Intelligence (Core)
- Advanced Cyber Security (Core)
Each module consists typically of 12 weeks of study, which includes a supporting lecture programme, a series of supported laboratory sessions, and time for the completion of assignment exercises and/or examinations.
The research project module is an independent study and is supported by a specialised supervisor, and is carried out over the last three months of the programme.
Weekly contact hours on this programme may vary depending on the individual module options chosen and the stage of the study. The programme is supported by online access to lecture material and related information.
The postgraduate-level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour spent in class, students are expected to spend at least two to three hours in an independent study.
How You Study
The teaching and learning strategy adopted within the MSc Computer Science derives from a methodology designed to develop knowledge and understanding in the domain of computing. In particular, students can experience a blend of different approaches. The Program aims to enable the acquisition of skills through practical workshops in the laboratory, and develop academic knowledge through debate, lectures, discussion, and personal research.
Modules assume a familiarity with object-oriented programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain.
Each module consists typically of 12 weeks of study, which includes a supporting lecture Program, a series of supported laboratory sessions, and time for the completion of assignment exercises and/or examinations. The research project module is an independent study and is supported by a specialised supervisor, and is carried out over the last three months of the Program.
Weekly contact hours on this Program may vary depending on the individual module options chosen and the stage of study. The Program is supported by online access to lecture material and related information.
Postgraduate level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour spent in class, students are expected to spend at least two to three hours in independent study.
For eligible students, there are more ways than ever before to fund your postgraduate study, whether you want to do a taught or research course. For those wishing to undertake a Master's course, UK students can apply for a loan as a contribution towards the course and living costs. Loans are also available to those who wish to undertake doctoral study. The University offers a number of scholarships and funded studentships for those interested in postgraduate study.
Several scholarship options are available. Please check the university website for more information.
This Master’s programme is designed to equip students with the advanced knowledge and skills needed to develop the innovative solutions required by today’s rapidly advancing computing industry. Students can develop the knowledge and specialist skills necessary to progress to roles in the computing and technology industries. Some may choose to continue to research at the doctoral level.
