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University of Greenwich: Big Data and Business Intelligence
| Institution | University of Greenwich View institution profile |
|---|---|
| Department | School of Computing and Mathematical Sciences |
| Web | www.gre.ac.uk |
| Study type | Taught |
MSc
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
This programme has been accredited by BCS, The Chartered Institute for IT, to partially fulfil the academic requirement for registration as a Chartered IT Professional. Additionally, it has also been accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council, to partially fulfil the academic requirement for registration as a Chartered Engineer.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Mathematics, Physics, Engineering, Information Systems or Multimedia or a relevant numerate subject that includes software development experience. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. You can also read our admissions policy. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| EU | 18150 GBP for Whole course |
|---|---|
| England | 11000 GBP for Whole course |
| Northern Ireland | 11000 GBP for Whole course |
| Scotland | 11000 GBP for Whole course |
| Wales | 11000 GBP for Whole course |
| International | 18150 GBP for Whole course |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
This programme has been accredited by BCS, The Chartered Institute for IT, to partially fulfil the academic requirement for registration as a Chartered IT Professional. Additionally, it has also been accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council, to partially fulfil the academic requirement for registration as a Chartered Engineer.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Mathematics, Physics, Engineering, Information Systems or Multimedia or a relevant numerate subject that includes software development experience. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. You can also read our admissions policy. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| EU | 18150 GBP for Whole course |
|---|---|
| England | 11000 GBP for Whole course |
| Northern Ireland | 11000 GBP for Whole course |
| Scotland | 11000 GBP for Whole course |
| Wales | 11000 GBP for Whole course |
| International | 18150 GBP for Whole course |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
This programme has been accredited by BCS, The Chartered Institute for IT, to partially fulfil the academic requirement for registration as a Chartered IT Professional. Additionally, it has also been accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council, to partially fulfil the academic requirement for registration as a Chartered Engineer.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Mathematics, Physics, Engineering, Information Systems or Multimedia or a relevant numerate subject that includes software development experience. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. You can also read our admissions policy. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| EU | 18150 GBP for Whole course |
|---|---|
| England | 11000 GBP for Whole course |
| Northern Ireland | 11000 GBP for Whole course |
| Scotland | 11000 GBP for Whole course |
| Wales | 11000 GBP for Whole course |
| International | 18150 GBP for Whole course |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
This programme has been accredited by BCS, The Chartered Institute for IT, to partially fulfil the academic requirement for registration as a Chartered IT Professional. Additionally, it has also been accredited by BCS, The Chartered Institute for IT, on behalf of the Engineering Council, to partially fulfil the academic requirement for registration as a Chartered Engineer.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Mathematics, Physics, Engineering, Information Systems or Multimedia or a relevant numerate subject that includes software development experience. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. You can also read our admissions policy. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| EU | 18150 GBP for Whole course |
|---|---|
| England | 11000 GBP for Whole course |
| Northern Ireland | 11000 GBP for Whole course |
| Scotland | 11000 GBP for Whole course |
| Wales | 11000 GBP for Whole course |
| International | 18150 GBP for Whole course |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
- 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 Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have a good 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. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| England | 9750 GBP for Year 1 |
|---|---|
| Northern Ireland | 9750 GBP for Year 1 |
| Scotland | 9750 GBP for Year 1 |
| Wales | 9750 GBP for Year 1 |
| EU | 15100 GBP for Year 1 |
| International | 15100 GBP for Year 1 |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
- 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 Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have a good 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. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| England | 9750 GBP for Year 1 |
|---|---|
| Northern Ireland | 9750 GBP for Year 1 |
| Scotland | 9750 GBP for Year 1 |
| Wales | 9750 GBP for Year 1 |
| EU | 15100 GBP for Year 1 |
| International | 15100 GBP for Year 1 |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
- 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 Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have a good 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. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| England | 9750 GBP for Year 1 |
|---|---|
| Northern Ireland | 9750 GBP for Year 1 |
| Scotland | 9750 GBP for Year 1 |
| Wales | 9750 GBP for Year 1 |
| EU | 15100 GBP for Year 1 |
| International | 15100 GBP for Year 1 |
Summary
**Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.**
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 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.
**What you should know about this course**
- You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
- This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
- 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 Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 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.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have a good 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. For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000. |
| Location | Greenwich Maritime Campus Old Royal Naval College Park Row Greenwich SE10 9LS |
Fees
| England | 9750 GBP for Year 1 |
|---|---|
| Northern Ireland | 9750 GBP for Year 1 |
| Scotland | 9750 GBP for Year 1 |
| Wales | 9750 GBP for Year 1 |
| EU | 15100 GBP for Year 1 |
| International | 15100 GBP for Year 1 |
Looking to further your education journey with a postgraduate degree? At the University of Greenwich, you’ll find an ambitious community with no limits on where you come from and no limits on what you can do next. Choose from over 130 taught postgraduate degrees and a range of research degrees to help you achieve your goal, whether it’s to expand on your undergraduate interests, enter a new field, or give your career a boost. Our welcoming community of academics will inspire and support you every step of the way. But don’t just take our word for it. Our students rate …
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