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Birmingham Newman University: Data Science (conversion)
| Institution | Birmingham Newman University |
|---|---|
| Department | Computer Science |
| Web | http://www.newman.ac.uk |
| admissions@newman.ac.uk | |
| Telephone | 0121 387 4506 |
| Study type | Taught |
Master of Science - MSc (PG)
Summary
The MSc Data Science programme is designed as a conversion master’s to introduce graduates from diverse backgrounds to the field of data science. The programme aims to provide a comprehensive foundation in data analysis, statistical methods, probability models, big data, machine learning and modern data imputation and processing technologies. Students will learn to extract insights from complex data sets, use machine learning algorithms, and apply predictive analytics in various sectors.
The course provides broad knowledge and practical skills needed to develop software systems to generate predictive, descriptive, diagnostic, preventive and prescriptive analytics from huge and complex real-world datasets. The practical skills include programming, analyses of algorithms, statistical & probabilistic techniques, neural networks, large language models, distributed processing and data science. The integral academic writing, research and project management skills and a mandatory independent dissertation/project in the final semester further underpin application of the industry-style professional approaches as well as an appreciation of future directions of technological advances and research.
The balanced academic preparation is aligned with emerging trends in job market and allows graduates to pursue in-demand and lucrative careers in IT industry or assume interdisciplinary roles by effectively combining applied computing with their first degrees. The course also provides foundations and opportunity to progress to and formally pursue specialized computer science research on a Ph.D. programme
Why study this course? - All modules across the course are designed to support the transition of graduates into globally-relevant careers in Data Science and allied domains of Big Data, AI and Machine Learning.
-
Learning opportunities encourage and support the spirit of intellectual curiosity and enquiry, an ability to apply computational thinking to solve problems and the capacity for creative computing.
-
Dynamic landscape of technology offers jobs and careers beyond geographical boundaries with lucrative salaries.
-
Incessant infiltration of computers and technology in every walk of life and industry promulgates ever-increasing demand of computer science experts.
-
Progression opportunities to specialized, industry-driven research on a Ph.D. programme
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A relevant honours degree 2:2 or above |
| Location | Birmingham Newman University Genners Lane Bartley Green Birmingham B32 3NT |
Summary
The MSc Data Science programme is designed as a conversion master’s to introduce graduates from diverse backgrounds to the field of data science. The programme aims to provide a comprehensive foundation in data analysis, statistical methods, probability models, big data, machine learning and modern data imputation and processing technologies. Students will learn to extract insights from complex data sets, use machine learning algorithms, and apply predictive analytics in various sectors.
The course provides broad knowledge and practical skills needed to develop software systems to generate predictive, descriptive, diagnostic, preventive and prescriptive analytics from huge and complex real-world datasets. The practical skills include programming, analyses of algorithms, statistical & probabilistic techniques, neural networks, large language models, distributed processing and data science. The integral academic writing, research and project management skills and a mandatory independent dissertation/project in the final semester further underpin application of the industry-style professional approaches as well as an appreciation of future directions of technological advances and research.
The balanced academic preparation is aligned with emerging trends in job market and allows graduates to pursue in-demand and lucrative careers in IT industry or assume interdisciplinary roles by effectively combining applied computing with their first degrees. The course also provides foundations and opportunity to progress to and formally pursue specialized computer science research on a Ph.D. programme
Why study this course? - All modules across the course are designed to support the transition of graduates into globally-relevant careers in Data Science and allied domains of Big Data, AI and Machine Learning.
-
Learning opportunities encourage and support the spirit of intellectual curiosity and enquiry, an ability to apply computational thinking to solve problems and the capacity for creative computing.
-
Dynamic landscape of technology offers jobs and careers beyond geographical boundaries with lucrative salaries.
-
Incessant infiltration of computers and technology in every walk of life and industry promulgates ever-increasing demand of computer science experts.
-
Progression opportunities to specialized, industry-driven research on a Ph.D. programme
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A relevant honours degree 2:2 or above |
| Location | Birmingham Newman University Genners Lane Bartley Green Birmingham B32 3NT |
Summary
The MSc Data Science programme is designed as a conversion master’s to introduce graduates from diverse backgrounds to the field of data science. The programme aims to provide a comprehensive foundation in data analysis, statistical methods, probability models, big data, machine learning and modern data imputation and processing technologies. Students will learn to extract insights from complex data sets, use machine learning algorithms, and apply predictive analytics in various sectors.
The course provides broad knowledge and practical skills needed to develop software systems to generate predictive, descriptive, diagnostic, preventive and prescriptive analytics from huge and complex real-world datasets. The practical skills include programming, analyses of algorithms, statistical & probabilistic techniques, neural networks, large language models, distributed processing and data science. The integral academic writing, research and project management skills and a mandatory independent dissertation/project in the final semester further underpin application of the industry-style professional approaches as well as an appreciation of future directions of technological advances and research.
The balanced academic preparation is aligned with emerging trends in job market and allows graduates to pursue in-demand and lucrative careers in IT industry or assume interdisciplinary roles by effectively combining applied computing with their first degrees. The course also provides foundations and opportunity to progress to and formally pursue specialized computer science research on a Ph.D. programme
Why study this course? - All modules across the course are designed to support the transition of graduates into globally-relevant careers in Data Science and allied domains of Big Data, AI and Machine Learning.
-
Learning opportunities encourage and support the spirit of intellectual curiosity and enquiry, an ability to apply computational thinking to solve problems and the capacity for creative computing.
-
Dynamic landscape of technology offers jobs and careers beyond geographical boundaries with lucrative salaries.
-
Incessant infiltration of computers and technology in every walk of life and industry promulgates ever-increasing demand of computer science experts.
-
Progression opportunities to specialized, industry-driven research on a Ph.D. programme
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A relevant honours degree 2:2 or above |
| Location | Birmingham Newman University Genners Lane Bartley Green Birmingham B32 3NT |
Summary
The MSc Data Science programme is designed as a conversion master’s to introduce graduates from diverse backgrounds to the field of data science. The programme aims to provide a comprehensive foundation in data analysis, statistical methods, probability models, big data, machine learning and modern data imputation and processing technologies. Students will learn to extract insights from complex data sets, use machine learning algorithms, and apply predictive analytics in various sectors.
The course provides broad knowledge and practical skills needed to develop software systems to generate predictive, descriptive, diagnostic, preventive and prescriptive analytics from huge and complex real-world datasets. The practical skills include programming, analyses of algorithms, statistical & probabilistic techniques, neural networks, large language models, distributed processing and data science. The integral academic writing, research and project management skills and a mandatory independent dissertation/project in the final semester further underpin application of the industry-style professional approaches as well as an appreciation of future directions of technological advances and research.
The balanced academic preparation is aligned with emerging trends in job market and allows graduates to pursue in-demand and lucrative careers in IT industry or assume interdisciplinary roles by effectively combining applied computing with their first degrees. The course also provides foundations and opportunity to progress to and formally pursue specialized computer science research on a Ph.D. programme
Why study this course? - All modules across the course are designed to support the transition of graduates into globally-relevant careers in Data Science and allied domains of Big Data, AI and Machine Learning.
-
Learning opportunities encourage and support the spirit of intellectual curiosity and enquiry, an ability to apply computational thinking to solve problems and the capacity for creative computing.
-
Dynamic landscape of technology offers jobs and careers beyond geographical boundaries with lucrative salaries.
-
Incessant infiltration of computers and technology in every walk of life and industry promulgates ever-increasing demand of computer science experts.
-
Progression opportunities to specialized, industry-driven research on a Ph.D. programme
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A relevant honours degree 2:2 or above |
| Location | Birmingham Newman University Genners Lane Bartley Green Birmingham B32 3NT |
Summary
The MSc Data Science programme is designed as a conversion master’s to introduce graduates from diverse backgrounds to the field of data science. The programme aims to provide a comprehensive foundation in data analysis, statistical methods, probability models, big data, machine learning and modern data imputation and processing technologies. Students will learn to extract insights from complex data sets, use machine learning algorithms, and apply predictive analytics in various sectors.
The course provides broad knowledge and practical skills needed to develop software systems to generate predictive, descriptive, diagnostic, preventive and prescriptive analytics from huge and complex real-world datasets. The practical skills include programming, analyses of algorithms, statistical & probabilistic techniques, neural networks, large language models, distributed processing and data science. The integral academic writing, research and project management skills and a mandatory independent dissertation/project in the final semester further underpin application of the industry-style professional approaches as well as an appreciation of future directions of technological advances and research.
The balanced academic preparation is aligned with emerging trends in job market and allows graduates to pursue in-demand and lucrative careers in IT industry or assume interdisciplinary roles by effectively combining applied computing with their first degrees. The course also provides foundations and opportunity to progress to and formally pursue specialized computer science research on a Ph.D. programme
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A relevant honours degree 2:2 or above |
| Location | Birmingham Newman University Genners Lane Bartley Green Birmingham B32 3NT |
Summary
The MSc Data Science programme is designed as a conversion master’s to introduce graduates from diverse backgrounds to the field of data science. The programme aims to provide a comprehensive foundation in data analysis, statistical methods, probability models, big data, machine learning and modern data imputation and processing technologies. Students will learn to extract insights from complex data sets, use machine learning algorithms, and apply predictive analytics in various sectors.
The course provides broad knowledge and practical skills needed to develop software systems to generate predictive, descriptive, diagnostic, preventive and prescriptive analytics from huge and complex real-world datasets. The practical skills include programming, analyses of algorithms, statistical & probabilistic techniques, neural networks, large language models, distributed processing and data science. The integral academic writing, research and project management skills and a mandatory independent dissertation/project in the final semester further underpin application of the industry-style professional approaches as well as an appreciation of future directions of technological advances and research.
The balanced academic preparation is aligned with emerging trends in job market and allows graduates to pursue in-demand and lucrative careers in IT industry or assume interdisciplinary roles by effectively combining applied computing with their first degrees. The course also provides foundations and opportunity to progress to and formally pursue specialized computer science research on a Ph.D. programme
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A relevant honours degree 2:2 or above |
| Location | Birmingham Newman University Genners Lane Bartley Green Birmingham B32 3NT |
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