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University of East London: Big Data Technologies
| Institution | University of East London View institution profile |
|---|---|
| Department | School of Architecture, Computing and Engineering (ACE) |
| Web | https://www.uel.ac.uk/study/postgraduate |
| Telephone | 0208 223 3333 |
| Study type | Taught |
MSc
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. |
| Location | Main Site University Way London E16 2RD |
Summary
This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.
The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.
During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths. |
| Location | Main Site University Way London E16 2RD |
University of East London
The University of East London (UEL) is the careers-led university; we’ve been preparing our students for the jobs of the future for over 125 years. We are constantly updating our courses to ensure our students are always prepared for evolving industries and job markets. With support and innovation at the forefront of everything we do, our students are well equipped to progress on to great things.
Campus and accommodation
With campuses in Stratford and in the Royal Albert Dock, East London is evolving around us. We’re at the heart of an incredibly innovative area in one …
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