| Program start date | Application deadline |
| 2024-09-01 | - |
| 2024-01-01 | - |
Program Overview
The University of Greenwich's MSc Big Data and Business Intelligence program equips students with the skills to build and develop big data systems using modern engineering approaches. Combining data analytics, machine learning, and programming proficiency, the program trains graduates for careers in data science, big data development, and business intelligence. It is accredited by both BCS and the Engineering Council.
Program Outline
Big Data and Business Intelligence, MSc - University of Greenwich
Degree Overview:
This MSc program in Big Data and Business Intelligence is designed to equip students with the skills needed to contribute to the design and development of big data systems and distributed/internet-enabled decision support application software systems. It focuses on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, and data mining. Students will also have the opportunity to learn programming languages such as Python and R. The program emphasizes a software engineering approach to building applications, helping students develop a life-cycle view of software development. Drawing on the University's research excellence in this area, this innovative course aims to provide students with a competitive advantage in the fast-growing field of big data and business intelligence.
Outline:
Full-time:
- Year 1:
- Compulsory Modules:
- 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
- Optional Modules (Choose 15 credits):
- Software Tools and Techniques (15 credits)
- User Centred Web Engineering (15 credits)
- Clouds, Grids and Virtualisation (15 credits)
- Optional Modules (Choose 15 credits):
- Systems Modelling (15 credits)
- Data Visualisation (15 credits)
Part-time:
- Year 1:
- Compulsory Modules:
- Big Data (15 credits)
- Applied Machine Learning (15 credits)
- Programming Fundamentals for Data Science (15 credits)
- Data Warehousing and Business Intelligence (15 credits)
- Essential Professional and Academic Skills for Masters Students
- Year 2:
- Compulsory Modules:
- MSc Project (60 credits)
- Advanced Database Technologies (15 credits)
- Graph and Modern Databases (15 credits)
- Optional Modules (Choose 15 credits):
- Software Tools and Techniques (15 credits)
- User Centred Web Engineering (15 credits)
- Clouds, Grids and Virtualisation (15 credits)
- Optional Modules (Choose 15 credits):
- Systems Modelling (15 credits)
- Data Visualisation (15 credits)
Assessment:
The program utilizes a combination of coursework, examinations, and a project for assessment. Some modules may also include practice assessments, presentations, demonstrations, and reports to help students monitor their progress and make continual improvement. Feedback on assignments is provided within 15 working days.
Teaching:
Teaching methods include a combination of lectures, tutorials, and practical work in labs. Students can discuss and develop their understanding of topics covered in lectures in smaller group sessions and apply this knowledge in practice in specialized computer laboratories. Teaching hours may fall between 9am and 9pm, depending on elective courses and tutorials. Lectures are usually attended by larger groups, while seminars/tutorials are conducted in smaller groups. The teaching team includes academics and practitioners with experience in various aspects of Big Data systems development and Artificial Intelligence. The majority of the team holds a teaching qualification.
Careers:
Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce, or research with proficiency in the key theoretical and practical areas of big data systems development. The Employability and Careers Service provides support for students preparing to apply for placements and graduate roles, including CV clinics, mock interviews, and employability skills workshops.
- Students can join a range of student societies, including the Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.
- Home/international fees 2024/25: £11,000 / £18,150
- Part-time fees are £1,850 per 30 credits for home students and £3,025 per 30 credits for international students.
University of Greenwich: A Summary
Overview:
The University of Greenwich is a public university located in London and Kent, England. It boasts three campuses: Greenwich, Avery Hill, and Medway. The university is known for its diverse student body, with students from over 150 countries, and its commitment to providing a high-quality student experience.
Services Offered:
The University of Greenwich offers a wide range of services to its students, including:
Accommodation:
On-campus accommodation options are available at all three campuses.Careers:
The university provides career guidance and support services to help students find employment after graduation.Student Support:
A variety of support services are available to students, including academic advising, counseling, and disability support.Financial Aid:
Scholarships and bursaries are available to help students finance their studies.Digital Student Centre:
A digital platform offering support for new and returning students.Student Life and Campus Experience:
The University of Greenwich offers a vibrant and diverse campus experience. Students can expect:
Lively Students' Union:
Each campus has a Students' Union that organizes social events, clubs, and societies.Modern Facilities:
The university has invested in modern facilities, including libraries, labs, and sports centers.Excellent Transport Links:
All campuses are easily accessible by public transport, with connections to central London.Campus Bus Service:
A bus service connects the three campuses.Key Reasons to Study There:
Award-Winning Research:
The university is recognized for its high-quality research, which has won numerous awards.Gold in the Teaching Excellence Framework (TEF):
This recognition highlights the university's commitment to providing an outstanding student experience.Diverse Community:
The university welcomes students from all over the world, creating a diverse and inclusive learning environment.Flexible Learning Options:
The university offers a range of flexible learning options, including online and part-time study.Strong Graduate Prospects:
The university has a strong track record of graduate employment, with many graduates going on to successful careers.Academic Programs:
The University of Greenwich offers a wide range of undergraduate and postgraduate programs across various disciplines. Some of the key academic strengths include:
Business and Management:
The university is known for its strong business programs, including MBA and MSc programs.Engineering and Technology:
The university offers a range of engineering and technology programs, including civil engineering, mechanical engineering, and computer science.Arts and Humanities:
The university has a strong reputation in the arts and humanities, with programs in English literature, history, and creative writing.Health and Social Care:
The university offers a range of health and social care programs, including nursing, social work, and psychology.Other:
- The university has a strong commitment to sustainability and has launched a university-wide transformation for a Greener future.
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The university is home to the Greenwich Portraits series, which celebrates the diverse journeys of its students and alumni.
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Student Life and Campus Experience:
While the context mentions the Students' Union and facilities, it does not provide detailed information on student life and campus experiences.
Key Reasons to Study There:
The context mentions some advantages, but it does not explicitly highlight the key reasons to study at the University of Greenwich.Entry Requirements:
- UK citizens and permanent residents:
- An honours degree 2:2 or above in a 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.
- International entry requirements:
- Alternatively, please contact us:
- We welcome applications from mature students and/or students with professional work backgrounds.
- **Available to overseas students?
- Yes
- **Can I use Prior Learning?
- 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.
- Recognition of Prior Learning
