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€17,167.06/year
2019 Points
Duration
1 Year
Language
English
Program Description
This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems.
We focus on modern engineering methods, tools and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Hadoop, Python, and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.
Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.
Notes:
Tuition fees for students who have citizens' rights after Brexit (pre/settled status, 3 years + with permanent address): £9,750
We focus on modern engineering methods, tools and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Hadoop, Python, and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.
Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.
Notes:
Tuition fees for students who have citizens' rights after Brexit (pre/settled status, 3 years + with permanent address): £9,750
Entry Requirements
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Education
Bachelor's Degree
6
or
Degree from Greek State Technical Insitute TEI (Ptychio)
6
English Level
IELTS
6
or
PTE
51
or
TOEFL (internet based)
60
Required Documents
CV
Certified Copy of the Degree Certificate/Diploma
Certified Copy of the English Certification
ID Certified Copy
Passport Certified Copy
Detailed Transcript
Student Visa
Professional Reference Letter
Notes:
Main requirements:
- A good first degree in computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience.
Or
- Substantial commercial/industrial experience including software development using modern programming languages and design.
Alternative English language requirements:
- Apolytirion with grade 17 in English.
- University of Greenwich English Language Test (OIETC): Overall grade B2+ with B2 in each skill.
Important Information:
- We welcome applications from mature students and/or students with professional work backgrounds.
- For entry: applicants with professional qualifications and/or four years of full-time work experience will be considered on an individual basis.
- For exemption: If you hold qualifications or courses from another higher education institution, these may exempt you from courses of this degree.
- If your English language qualification is below the standard requirements listed above, you may be eligible for our online pre-sessional English (PSE) programme.
- If you do not currently hold an IELTS and think you might need a pre-sessional English programme to reach the required level, you can also take the University's English Language Test (UOGELT). If you do not achieve the required score for direct entry, you will be eligible to study our online pre-sessional course using your UOGELT result.
Curriculum
|
MSc Project (60 credits)
Big Data (15 credits)
Advanced Database Technologies (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Graph and Modern Databases (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Masters Students
Big Data (15 credits)
Advanced Database Technologies (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Graph and Modern Databases (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Masters Students
|
Students are required to choose 15 credits from this list of options:
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Students are required to choose 15 credits from this list of options:
Systems Modelling (15 credits)
Data Visualisation (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Students are required to choose 15 credits from this list of options:
Systems Modelling (15 credits)
Data Visualisation (15 credits)
Careers
Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of big data systems development.
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