This computer science degree specialising in artificial intelligence will help you learn about the latest developments in this fast-moving discipline.
On this degree, you will learn about the emergence of specific application areas from Artificial Intelligence techniques and how Artificial Intelligence techniques are embedded in real world applications.
The degree provides a firm grasp of the science underpinning computer and software systems. Modules include Artificial Intelligence Applications, Natural Computing and Machine Learning. You will gain practical experience of developing systems using the latest technologies and techniques, as well as exposure to the latest trends that will shape the future of computer science.
By the end of the course, you will be equipped to study independently and develop and adapt your skills throughout your career.
What you should know about this course
- This degree helps you master the mathematical and analytical foundations underpinning Artificial Intelligence.
- Gain experience of natural computation and swam intelligence using the latest cutting-edge technologies.
- Learn how to elicit, analyse, and specify requirements for machine learning, building the skills for careers within your chosen area.
- The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. As this programme was extensively updated in 2019, it has a current designation of Initial Full Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in autumn 2022 after the first cohort of students graduate. Students will be kept updated on the status of this. In the very unlikely event that this does not progress as expected the university will support students with individual BCS membership applications at the point of graduation.
What you will study
Year 1
Students are required to study the following compulsory modules.
- Computer and Communication Systems (15 credits)
- Paradigms of Programming (30 credits)
- Algorithms and Data Structures (15 credits)
- Introduction to Compilers (15 credits)
- Principles of Software Engineering (15 credits)
- Mathematics for Computer Science (15 credits)
- Advanced Mathematics for Computer Science (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Advanced Programming (15 credits)
- Operating Systems (15 credits)
- Information Security (15 credits)
- Statistical Techniques with R (15 credits)
- Introduction to Artificial Intelligence (15 credits)
- Advanced Algorithms and Data Structures (15 credits)
- Computational Methods and Numerical Techniques (30 credits)
Year 3
Students are required to study the following compulsory modules.
- Human Computer Interaction and Design (15 credits)
- Final Year Projects (60 credits)
- Natural Computing (15 credits)
- Machine Learning (15 credits)
- Artificial Intelligence Applications (15 credits)
Covid safe teaching and learning
We are looking forward to welcoming students to our campuses for 2022/23. In line with government guidance, we are committed to delivering as much of our teaching, learning and student activity as possible on campus for the 2022/23 academic year. Depending on the national situation, and government advice, the situation may change but we are confident we are ready to manage any changes quickly and safely.
Teaching
In a typical week learning takes place through a combination of:
- Timetabled learning
- Independent study
Independent learning
Outside of timetabled sessions, you are also expected to dedicate a significant amount of time each week to self-study. This may involve further reading and research, analysing relevant sources in depth, and preparing coursework and presentations.
Overall workload
Your overall workload consists of lectures, practical classes, independent learning, and assessments. For full-time students, the workload should be approximately equivalent to a full-time job. For part-time students, this will reduce in proportion with the number of modules you are studying.
Each module you study towards this degree is worth 15 or 30 credits. These represent around 150-300 study hours respectively. If you receive 72 contact hours for a 30-credit module, you should expect to commit 228 hours to independent study to complete it successfully.
Careers and placements
Will I have a work placement?
This course can be taken in sandwich mode, which means you can take a year to work in industry between your second and final years of study. Sandwich placements are relevant to your degree subject and are paid roles. It is the very best way of preparing you for successfully finding a job quickly when you graduate.
For those students who are interested in pursuing a career in teaching you also have the option to select a module for which you will be required to undertake a short-term placement in a school or college.
How long is my placement?
Sandwich placements last for between 9-13 months. Work-based learning module placements are normally one day a week for either one or two terms depending on the number of credits available from the module.
What are the financial arrangements?
Sandwich placements are paid roles whereas work-based learning module placements are normally unpaid.
What sort of careers do graduates pursue?
We will support students in securing their own placements. Former students have secured placement years at HSBC Hong Kong, Kent Connects, Affiliate Window, CERN, Royal Museums Greenwich and Uctel.
Career opportunities exist in many computing areas, including IT support, consultancy, internet and e-commerce applications.
Graduates can expect to work as independent consultants or in teams with other computer professionals to build and support modern computing systems.
Are internships available?
Students are encouraged to take up Summer internships during the Summer holidays, though it is up to the student to find them. Support is available to students from the Employability and Careers Service when applying for placements and internships.
Do you provide employability services?
Employability activities take place all the time at Greenwich and students are encouraged to take part in as many opportunities as possible. The central Employability and Careers Service provides support for students preparing to apply for placements and graduate roles, such as CV clinics, mock interviews and employability skills workshops. In addition, your School has a dedicated Employability Officer who will be organising work-related activities throughout the year which will help you to build you industry knowledge and networks.
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