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University of Glasgow: Data Analytics
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Mathematics & Statistics |
| Web | www.glasgow.ac.uk/ |
| Study type | Taught |
MSc
Summary
Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in state-of-the art methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects. Previous study of Statistics or Computing Science is not required.
Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin.
Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.
Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin. Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics. * We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.
* This programme qualifies for the prestigious Data Lab Masters Scholarships, available for Scottish/EU students.
* The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
#### **Watch a class**
You can get a taste of this programme by watching a mini lecture from the Data Analysis Skills course which is taught in Semester 2 of this programme.
Students are required to take 10 compulsory taught courses and select 1 taught course from the optional courses in semester 2.
### Semester 1
**Core courses**
* PROBABILITY (LEVEL M)
* REGRESSION MODELS (LEVEL M)
* STATISTICAL INFERENCE (LEVEL M)
* DATABASE THEORY AND APPLICATION (M)
* INTRODUCTION TO STATISTICAL PROGRAMMING (LEVEL M)
+ This course introduces students to the basic concepts and ideas of a statistical computing environment; trains students in programming tools using the R and Python computing environments; provides computational skills which will support other M-level courses; and introduces students to fundamental concepts in (scientific) programming in general.
### Semester 2
**Core courses**
* ADVANCED PREDICTIVE MODELS
* BAYESIAN STATISTICS (LEVEL M)
* BIG DATA ANALYTICS (LEVEL M)
* DATA ANALYSIS SKILLS (LEVEL M)
* DATA MINING AND MACHINE LEARNING
**Optional courses (choose 1)**
* INFORMATION VISUALISATION (M)
* ENVIRONMENTAL STATISTICS (LEVEL M)
* SPATIAL STATISTICS (LEVEL M)
* STATISTICAL GENETICS (LEVEL M)
* FUNCTIONAL DATA ANALYSIS (LEVEL M)
* DESIGN OF EXPERIMENTS (LEVEL M)
### Project (summer)
One of:
* STATISTICS PROJECT AND DISSERTATION
* STATISTICS PROJECT AND DISSERTATION (WITH PLACEMENT)
Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.
Summary
While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace. Both Artificial Intelligence and Analytical Reasoning are among the top three most-in demand hard skills (LinkedIn, 2019).
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.
A faster study route, which lets you complete the programme in two years, is also available.
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications. A faster study route, which lets you complete the programme in two years, is also available. * Designed for part time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.
* You'll be studying with a Russell Group University
* You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.
### Information sessions
An information session for prospective students took place recently, and can be viewed on YouTube.
### Our students
Our students contribute a wealth of professional experience from a variety of sectors including finance, the pharmaceutical industry, banking, IT services and government statistical services amongst others.
Our students come from all over the world, bringing a rich mixture of personal experiences, cultural backgrounds and strong sense of internationalism to our student community. The open and welcoming atmosphere amongst students and staff creates an inspiring yet supportive environment for collaborative learning, and personal and professional growth.
### What our students say
**Mutono Nyamai (PhD Fellow at University of Nairobi and Washington State University in the Global Health Programme)**
"Soon after I enrolled for my PhD, I realized that I needed data analytics skills as I would be dealing with big datasets and modeling of infectious diseases. I needed a course that would teach me the current analysis trends while setting me apart as a great data scientist. The programme is very well structured with very knowledgeable and supportive lecturers who are more than willing to have one-on-one meetings with you to ensure you understand the concepts.This programme has surpassed my expectations in keeping up with the current industry needs, using popular and relevant analysis tools and training me to work in the field of research. Thanks to this course, I can now confidently call myself a data scientist."
**Jonas Dieckmann (Data & Advanced Analytics Manager at Philips)**
"The online taught Data Analytics program at University of Glasgow seemed to be an ideal enrichment not only to my undergraduate studies in business and IT, but also to my daily challenges within the Insights & Analytics team at my employer. The courses are perfectly doable during full-time employment given their lecture and assessment structure. In addition to individual course work, I also enjoyed several group projects and peer assessments. The advanced analytics and machine learning courses can be used and transferred into daily business and industry needs.”
This flexible part-time programme is completed over three years. In the first two years, you will take two courses each trimester. In the third year, you will work on a project and Dissertation.
Students can choose PROBABILITY AND SAMPLING FUNDAMENTALS (ODL) instead of PROBABILITY AND STOCHASTIC MODELS (ODL).
### **Core courses**
* ADVANCED PREDICTIVE MODELS (ODL)
* DATA MINING AND MACHINE LEARNING I: SUPERVISED AND UNSUPERVISED LEARNING (ODL)
* LEARNING FROM DATA - DATA SCIENCE FOUNDATIONS (ODL)
* PREDICTIVE MODELLING (ODL)
* PROBABILITY AND STOCHASTIC MODELS (ODL)
* R PROGRAMMING (ODL)
* DATA ANALYTICS IN BUSINESS AND INDUSTRY (ODL)
* DATA MANAGEMENT AND ANALYTICS USING SAS (ODL)
* DATA MINING AND MACHINE LEARNING II: BIG DATA AND UNSTRUCTURED DATA (ODL)
* DATA PROGRAMMING IN PYTHON (ODL)
* LARGE-SCALE COMPUTING FOR DATA ANALYTICS (ODL)
* UNCERTAINTY ASSESSMENT AND BAYESIAN COMPUTATION (ODL)
* DATA ANALYTICS PROJECT (ODL)
### Key outcomes
* Demonstrate thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning.
* Developing strategies for modelling and analysing potentially large and complex data.
* Communicate and visualise insights gained from data.
* Design and develop software to perform data management, data extraction, statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.
Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.
Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.
PgCert
Summary
While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace. Both Artificial Intelligence and Analytical Reasoning are among the top three most-in demand hard skills (LinkedIn, 2019).
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.
A faster study route, which lets you complete the programme in two years, is also available.
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications. A faster study route, which lets you complete the programme in two years, is also available. * Designed for part time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.
* You'll be studying with a Russell Group University
* You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.
### Information sessions
An information session for prospective students took place recently, and can be viewed on YouTube.
### Our students
Our students contribute a wealth of professional experience from a variety of sectors including finance, the pharmaceutical industry, banking, IT services and government statistical services amongst others.
Our students come from all over the world, bringing a rich mixture of personal experiences, cultural backgrounds and strong sense of internationalism to our student community. The open and welcoming atmosphere amongst students and staff creates an inspiring yet supportive environment for collaborative learning, and personal and professional growth.
### What our students say
**Mutono Nyamai (PhD Fellow at University of Nairobi and Washington State University in the Global Health Programme)**
"Soon after I enrolled for my PhD, I realized that I needed data analytics skills as I would be dealing with big datasets and modeling of infectious diseases. I needed a course that would teach me the current analysis trends while setting me apart as a great data scientist. The programme is very well structured with very knowledgeable and supportive lecturers who are more than willing to have one-on-one meetings with you to ensure you understand the concepts.This programme has surpassed my expectations in keeping up with the current industry needs, using popular and relevant analysis tools and training me to work in the field of research. Thanks to this course, I can now confidently call myself a data scientist."
**Jonas Dieckmann (Data & Advanced Analytics Manager at Philips)**
"The online taught Data Analytics program at University of Glasgow seemed to be an ideal enrichment not only to my undergraduate studies in business and IT, but also to my daily challenges within the Insights & Analytics team at my employer. The courses are perfectly doable during full-time employment given their lecture and assessment structure. In addition to individual course work, I also enjoyed several group projects and peer assessments. The advanced analytics and machine learning courses can be used and transferred into daily business and industry needs.”
This flexible part-time programme is completed over three years. In the first two years, you will take two courses each trimester. In the third year, you will work on a project and Dissertation.
Students can choose PROBABILITY AND SAMPLING FUNDAMENTALS (ODL) instead of PROBABILITY AND STOCHASTIC MODELS (ODL).
### **Core courses**
* ADVANCED PREDICTIVE MODELS (ODL)
* DATA MINING AND MACHINE LEARNING I: SUPERVISED AND UNSUPERVISED LEARNING (ODL)
* LEARNING FROM DATA - DATA SCIENCE FOUNDATIONS (ODL)
* PREDICTIVE MODELLING (ODL)
* PROBABILITY AND STOCHASTIC MODELS (ODL)
* R PROGRAMMING (ODL)
* DATA ANALYTICS IN BUSINESS AND INDUSTRY (ODL)
* DATA MANAGEMENT AND ANALYTICS USING SAS (ODL)
* DATA MINING AND MACHINE LEARNING II: BIG DATA AND UNSTRUCTURED DATA (ODL)
* DATA PROGRAMMING IN PYTHON (ODL)
* LARGE-SCALE COMPUTING FOR DATA ANALYTICS (ODL)
* UNCERTAINTY ASSESSMENT AND BAYESIAN COMPUTATION (ODL)
* DATA ANALYTICS PROJECT (ODL)
### Key outcomes
* Demonstrate thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning.
* Developing strategies for modelling and analysing potentially large and complex data.
* Communicate and visualise insights gained from data.
* Design and develop software to perform data management, data extraction, statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.
Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.
Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.
PgDip
Summary
While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace. Both Artificial Intelligence and Analytical Reasoning are among the top three most-in demand hard skills (LinkedIn, 2019).
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.
A faster study route, which lets you complete the programme in two years, is also available.
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications. A faster study route, which lets you complete the programme in two years, is also available. * Designed for part time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.
* You'll be studying with a Russell Group University
* You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.
### Information sessions
An information session for prospective students took place recently, and can be viewed on YouTube.
### Our students
Our students contribute a wealth of professional experience from a variety of sectors including finance, the pharmaceutical industry, banking, IT services and government statistical services amongst others.
Our students come from all over the world, bringing a rich mixture of personal experiences, cultural backgrounds and strong sense of internationalism to our student community. The open and welcoming atmosphere amongst students and staff creates an inspiring yet supportive environment for collaborative learning, and personal and professional growth.
### What our students say
**Mutono Nyamai (PhD Fellow at University of Nairobi and Washington State University in the Global Health Programme)**
"Soon after I enrolled for my PhD, I realized that I needed data analytics skills as I would be dealing with big datasets and modeling of infectious diseases. I needed a course that would teach me the current analysis trends while setting me apart as a great data scientist. The programme is very well structured with very knowledgeable and supportive lecturers who are more than willing to have one-on-one meetings with you to ensure you understand the concepts.This programme has surpassed my expectations in keeping up with the current industry needs, using popular and relevant analysis tools and training me to work in the field of research. Thanks to this course, I can now confidently call myself a data scientist."
**Jonas Dieckmann (Data & Advanced Analytics Manager at Philips)**
"The online taught Data Analytics program at University of Glasgow seemed to be an ideal enrichment not only to my undergraduate studies in business and IT, but also to my daily challenges within the Insights & Analytics team at my employer. The courses are perfectly doable during full-time employment given their lecture and assessment structure. In addition to individual course work, I also enjoyed several group projects and peer assessments. The advanced analytics and machine learning courses can be used and transferred into daily business and industry needs.”
This flexible part-time programme is completed over three years. In the first two years, you will take two courses each trimester. In the third year, you will work on a project and Dissertation.
Students can choose PROBABILITY AND SAMPLING FUNDAMENTALS (ODL) instead of PROBABILITY AND STOCHASTIC MODELS (ODL).
### **Core courses**
* ADVANCED PREDICTIVE MODELS (ODL)
* DATA MINING AND MACHINE LEARNING I: SUPERVISED AND UNSUPERVISED LEARNING (ODL)
* LEARNING FROM DATA - DATA SCIENCE FOUNDATIONS (ODL)
* PREDICTIVE MODELLING (ODL)
* PROBABILITY AND STOCHASTIC MODELS (ODL)
* R PROGRAMMING (ODL)
* DATA ANALYTICS IN BUSINESS AND INDUSTRY (ODL)
* DATA MANAGEMENT AND ANALYTICS USING SAS (ODL)
* DATA MINING AND MACHINE LEARNING II: BIG DATA AND UNSTRUCTURED DATA (ODL)
* DATA PROGRAMMING IN PYTHON (ODL)
* LARGE-SCALE COMPUTING FOR DATA ANALYTICS (ODL)
* UNCERTAINTY ASSESSMENT AND BAYESIAN COMPUTATION (ODL)
* DATA ANALYTICS PROJECT (ODL)
### Key outcomes
* Demonstrate thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning.
* Developing strategies for modelling and analysing potentially large and complex data.
* Communicate and visualise insights gained from data.
* Design and develop software to perform data management, data extraction, statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.
Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.
Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.
The University of Glasgow is one of the UK’s most prestigious seats of learning, and the fourth oldest university in the English speaking world. Established in 1451 and recognised for its world-changing research and teaching, the University has inspired thinkers from eminent scientist Lord Kelvin and the father of economics Adam Smith, to Scotland’s First Minister Nicola Sturgeon.
Rankings
The University:
is ranked 81st in the world in the QS World University Rankings 2023
- is in the top 100 in the world: Times Higher World University Rankings 2023
- 95.9% of students in employment or further study 6 months after graduation …
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