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University of Bath: Data Science
| Institution | University of Bath View institution profile |
|---|---|
| Department | Computer Science View department profile |
| Web | https://www.bath.ac.uk/faculties/faculty-of-science/ |
| pgtadmissions@bath.ac.uk | |
| Telephone | +44 1225 38 5115 |
| Study type | Taught |
MSc
Summary
**Prepare for a career in Data Science with specialist skills and knowledge in fundamental statistic techniques and cutting-edge machine learning technologies.**
Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications.
This course provides you with the computational skills, tools and strong mathematical foundation preparing you for a career in industry. You'll gain practical, analytical and software skills to proficiently gather, process and analyse data, preparing you to tackle complex challenges in modern data science.
To ensure you’re well prepared for the course, you will need a good first degree in a numerate subject such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming.
**Course highlights**
- Study at a top 10 ranking university on a course developed in consultation with industry experts to ensure you graduate with the skills to be an innovative, ethical, and responsible Data Science specialist.
- Develop team working skills working in multidisciplinary teams on data-driven projects.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
**Specialist facilities**
You will have access to purpose-built teaching labs, including a maker lab, allowing you to explore, create, experiment and share software-driven and physical artefact projects in a collaborative workspace context. Complex, data-intensive processes can be analysed over our in-house GPU Cluster. You will have access to most of our specialist labs 24/7.
**Project examples**
The research expertise in the department allows for a wide-range of subjects for your final project. Recent examples from Data Science students include:
- Deep learning in high frequency financial trading
- Spatiotemporal timing predictions in areas with a low density of public transport
- The impact of mindfulness meditation on multisensory transfer learning
**Career prospects**
After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.
Recent graduate roles include: data scientist, machine learning developer, Python developer and software engineer.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have a first or strong second-class Bachelor’s honours degree or international equivalent. To apply for this course your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. If your first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements. **Before you apply, please check the University of Bath website for the most recently published entry requirements.** |
| Location | University of Bath Claverton Down Bath Banes Bath BA2 7AY |
Summary
**Prepare for a career in Data Science with specialist skills and knowledge in fundamental statistic techniques and cutting-edge machine learning technologies.**
Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications.
This course provides you with the computational skills, tools and strong mathematical foundation preparing you for a career in industry. You'll gain practical, analytical and software skills to proficiently gather, process and analyse data, preparing you to tackle complex challenges in modern data science.
To ensure you’re well prepared for the course, you will need a good first degree in a numerate subject such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming.
**Course highlights**
- Study at a top 10 ranking university on a course developed in consultation with industry experts to ensure you graduate with the skills to be an innovative, ethical, and responsible Data Science specialist.
- Develop team working skills working in multidisciplinary teams on data-driven projects.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
**Specialist facilities**
You will have access to purpose-built teaching labs, including a maker lab, allowing you to explore, create, experiment and share software-driven and physical artefact projects in a collaborative workspace context. Complex, data-intensive processes can be analysed over our in-house GPU Cluster. You will have access to most of our specialist labs 24/7.
**Project examples**
The research expertise in the department allows for a wide-range of subjects for your final project. Recent examples from Data Science students include:
- Deep learning in high frequency financial trading
- Spatiotemporal timing predictions in areas with a low density of public transport
- The impact of mindfulness meditation on multisensory transfer learning
**Career prospects**
After graduating, you'll be well placed for a variety of careers in data science - from large-scale commercial enterprises, to innovative tech start-ups. Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and help you decide between employment and further study.
Recent graduate roles include: data scientist, machine learning developer, Python developer and software engineer.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have a first or strong second-class Bachelor’s honours degree or international equivalent. To apply for this course your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. If your first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements. **Before you apply, please check the University of Bath website for the most recently published entry requirements.** |
| Location | University of Bath Claverton Down Bath Banes Bath BA2 7AY |
Summary
**Improve your employability for roles in data science with specialist knowledge in machine learning, statistics and software technology.**
Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications. This course provides you with the tools and strong mathematical foundation to become an industry expert. You'll gain an understanding of the balanced combination of science and technology required for delivering effective data science.
**Course highlights**
- Work with a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds.
- Learn to understand and develop state-of-the-art machine learning techniques.
- Gain expertise in when to apply the best technique for the best results, in small and large data sets.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | First or strong second-class Bachelor’s honours degree or international equivalent. To apply for this course your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering maths or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. **Before you apply, please check the University of Bath website for the most recently published entry requirements.** |
| Location | University of Bath Claverton Down Bath Banes Bath BA2 7AY |
Summary
**Improve your employability for roles in data science with specialist knowledge in machine learning, statistics and software technology.**
Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications. This course provides you with the tools and strong mathematical foundation to become an industry expert. You'll gain an understanding of the balanced combination of science and technology required for delivering effective data science.
**Course highlights**
- Work with a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds.
- Learn to understand and develop state-of-the-art machine learning techniques.
- Gain expertise in when to apply the best technique for the best results, in small and large data sets.
- Be part of our supportive postgraduate community.
- Live and study in a beautiful world heritage city.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | First or strong second-class Bachelor’s honours degree or international equivalent. To apply for this course your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering maths or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. **Before you apply, please check the University of Bath website for the most recently published entry requirements.** |
| Location | University of Bath Claverton Down Bath Banes Bath BA2 7AY |
“Our mission is to deliver world class research and teaching, educating our graduates to become future leaders and innovators, and benefitting the wider population through our research, enterprise and influence.”
Why choose Bath for your postgraduate study?
The University of Bath has an international reputation for its high-quality research and teaching. We are ranked as a top five UK university in the Complete University Guide 2024, and 92% of our research is rated as world leading or internationally excellent (REF 2021).
Bath is home to over 5,800 postgraduate taught and research students, representing over 153 nationalities. We are …
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