Data Science and Computational Intelligence MSc
Master
In Scarborough
Description
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Type
Master
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Location
Scarborough
The Data Science and Computational Intelligence MSc has been designed to provide an industry-relevant programme that meets the needs of individuals wishing to pursue a research and development career in data science and computational intelligence. Students will acquire knowledge; skills and expertise required for the analysis; interpretation and visualisation of complex; high-volume; high-dimensional and structured/unstructured data from varying sources. The programme will be delivered through activity-led and problem-based learning in the context of current research or industrial consultancy projects conducted by the academics teaching on the course. Students will explore cutting-edge research topics and technologies in order to maximise their professional career prospects. The course has a carefully designed set of options that allows the individual to customise their programme of study according to their preferences; strengths and future plans.
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About this course
"Entry Requirements Applicants for this programme will normally be expected to possess a minimum of upper second class honours degree in Computer science, Mathematics or other relevant area.
Students whose first language is not English should have achieved a minimum English language standard of IELTS 6.5. Alternatively, students may be admitted with IELTS 6.0 subject to successfully completing a compulsory five week pre-sessional English course, operated by Coventry University, before..."
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Subjects
- Interpretation
- Options
- Computing
- Teaching
- English
- International
- Global
- University
- Project
- Systems
- Industry
- IT Development
- Computational
- Skills and Training
- Visualisation
Course programme
The Data Science and Computational Intelligence MSc has been designed to provide an industry-relevant programme that meets the needs of individuals wishing to pursue a research and development career in data science and computational intelligence.
Students will acquire knowledge, skills and expertise required for the analysis, interpretation and visualisation of complex, high-volume, high-dimensional and structured/unstructured data from varying sources. The programme will be delivered through activity-led and problem-based learning in the context of current research or industrial consultancy projects conducted by the academics teaching on the course. Students will explore cutting-edge research topics and technologies in order to maximise their professional career prospects.
The course has a carefully designed set of options that allows the individual to customise their programme of study according to their preferences, strengths and future plans.
WHY CHOOSE THIS COURSE?
If you choose this course you will benefit from the excellent modern facilities including specialist computing labs with high-performance hardware and industry-standard software. There will be opportunities for joint projects with local companies, guest lectures and interacting with employers. You will also have the opportunity to get involved in projects pursued by our research groups in: Computational Intelligence; Intelligent Information Modelling and retrieval; Distributed Systems and Modelling; Interactive Worlds; Digital Security and Forensics and Biomedical Computing and Engineering Technologies. Every year our students present their best work at the yearly Computing Show which attracts abundance of potential employers. You will work in collaborative international environment, which reflects the globalised nature of the computing industries. You can also get involved in variety of extra curricula activities including social events, trips and computing.
WHAT WILL I LEARN?Mandatory study topics
- Artificial Neural Networks (15 credits);
- Machine Learning and Data Mining (15 credits);
- Fuzzy Logic and Evolutionary Computing (15 credits);
- Intelligent Information retrieval (15 credits);
- Business Intelligence and Big Data Processing (15 credits);
- Cloud Computing and Distributed Technologies (15 credits);
- Project dissertation (60 credits).
The remainder of the programme is bespoke, made up of topics from areas such as:
- IT Project Management (15 credits);
- Internet Systems Development (15 credits);
- Open Systems Application Development (15 credits).
The MSc Project
The Data Science and Computational Intelligence postgraduate programme includes the completion of an individual project. Guided by an expert tutor, the MSc project serves to provide a method of applying previous learning whilst further developing the skills necessary to carry out research and facilitate the acquisition of valuable professional experience integral to that of a computer professional.
The MSc project serves to integrate and apply the subjects studied. The project could be industry-based or undertaken in collaboration with one of the University research groups, within the cognate area of this MSc.
"Data Science and Computational Intelligence MSc