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Introduction
This MSc programme lies within an area of growing technological change and provides advanced skills and knowledge.
Students are equipped with knowledge of the current state of the industry. There is also an emphasis on skills for lifelong learning so that students will be able to update their skills throughout their careers.
Why choose this course?
1. Taught by staff with academic and industry qualifications.
2. Hands-on experience with all relevant hardware and software.
3. Learn in-depth, a range of programming concepts, data visualisation and data mining techniques to develop sophisticated and complex information systems solutions.
4. Highly trained staff constantly update the programme to reflect the exciting, dynamic and rapidly developing computing field in today’s business environment.
5. The programme structure was developed in conjunction with industry-leading companies.
Overview
This MSc programme delivers the theory and skills required to become proficient in advanced software engineering with an emphasis on artificial intelligence.
The programme requires students to undertake a number of real-world tasks, deploying software technology in the design and development of complex scalable applications.
To reflect the growing demand for artificial intelligence and machine learning systems, graduates of this programme will learn the latest software skills in the development and deployment of applications making use of these technologies.
Modules
Part 1
• Agile Development and Software DevOps (20 credits)
• Application of Machine Learning (20 credits)
• Artificial Intelligence (20 credits)
• Cloud Engineering Principles and Practice (20 credits)
• Data Security, Governance and Compliance (20 credits)
• Research and Professional Development (20 credits)
Part 2
• Master’s Project (60 credits)
Entry Criteria
Applicants require an Honours Degree (2.2 or above) or advanced qualification in Computer Science or cognate discipline from a UK University or recognised overseas institution or industrial experience in IT and an Honours Degree.
For International applicants, we ask that you hold an Academic IELTS test with a score of at least 6.0 (no element less than 5.5)
ENTRY REQUIRED DOCUMENTS
Home Office Share Code
For EU students only.
IF no Qualification
Please provide CV with at least 2 years of work experience, and employee reference letter.
Assessment
ASSESSMENT METHODS
1. INTERNAL ENGLISH TEST if you don't have an English accredited certificate
2. Academic Interview
Assessment
Students' work is assessed through a combination of coursework, portfolio, lab-based practical exams and written examinations.
The final mark for some modules may include one or more pieces of assessment set and completed during the module.
Project work is assessed by a written report and oral presentation. Part 2 requires the student to research and prepare an individual project of a substantial nature.
University students who are unable to successfully complete all aspects of Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits).
Career Opportunities
Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems.
The programme covers the three themes of Data Management, User Experience and Web Technologies in the computing sector.
A significant emphasis is placed on data management and the implementation of applications for manipulating information, including both database systems and web applications.
Additionally, graduates would be able to lead teams and manage projects.
It is expected that graduates would seek positions such as:
• Project manager (within the Computing field)
• Data analyst
• Database administrator
• Application developer
• Web developer
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