12 monthsProgramme duration
31,700 GBPTuition Fee/year
1Scholarships
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Harness the power of biological data to drive innovation. Gain hands-on expertise analysing real-world bioscience data, in demand across the biotechnology, healthcare, and environmental sectors.
Biology is at the heart of society’s grand challenges, from food security and global health to biodiversity loss and climate change.
Addressing these complex issues increasingly relies on data-driven solutions.
As bioscience industries undergo rapid digital transformation, a skills gap has emerged in data handling, modelling, and interpretation. Our Data Science and Industrial Biotechnology MSc is designed to close this gap.
We will prepare you for a career at the cutting-edge of industrial biotechnology, bioinformatics, environmental monitoring, or health innovation.
During your studies, you’ll learn how to turn complex biological and environmental data into meaningful insights. You’ll work with genuine datasets to solve authentic challenges, from modelling microbial communities to predicting bioprocess yields.
You’ll be taught by leading academics from our Centre for Industrial Biotechnology. Our researchers are at the forefront of applying data science to real-world biological challenges. This ensures your learning is shaped by pioneering science and industry insight.
What sets our course apart is the strong connection to industry. You’ll work on live project briefs, co-designed hackathons, and applied assessments that mirror real-world practice. You’ll graduate with a portfolio that showcases actual skills to future employers.
Who this course is for
This MSc is ideal for graduates looking to transition into data science but have an interest in biotechnology.
Applicants should not have a degree in computer science or a course with significant computational content.
The programme is particularly suited to those interested in applying data science techniques in bioscience and industrial biotechnology contexts. This MSc offers a structured, supportive route into data-driven roles with real-world impact, whether you aim to work in:
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques, practical implementation, and ethical considerations of data science. NICD will help you learn with data bootcamps and learning through experience.
Whether you are looking to transition into data science or apply it more effectively in a life sciences context, this course is well suited. The programme will equip you with the practical, analytical, and professional expertise employers are looking for.
Additional information
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Biology is at the heart of society’s grand challenges, from food security and global health to biodiversity loss and climate change.
Addressing these complex issues increasingly relies on data-driven solutions.
As bioscience industries undergo rapid digital transformation, a skills gap has emerged in data handling, modelling, and interpretation. Our Data Science and Industrial Biotechnology MSc is designed to close this gap.
We will prepare you for a career at the cutting-edge of industrial biotechnology, bioinformatics, environmental monitoring, or health innovation.
During your studies, you’ll learn how to turn complex biological and environmental data into meaningful insights. You’ll work with genuine datasets to solve authentic challenges, from modelling microbial communities to predicting bioprocess yields.
You’ll be taught by leading academics from our Centre for Industrial Biotechnology. Our researchers are at the forefront of applying data science to real-world biological challenges. This ensures your learning is shaped by pioneering science and industry insight.
What sets our course apart is the strong connection to industry. You’ll work on live project briefs, co-designed hackathons, and applied assessments that mirror real-world practice. You’ll graduate with a portfolio that showcases actual skills to future employers.
Who this course is for
This MSc is ideal for graduates looking to transition into data science but have an interest in biotechnology.
Applicants should not have a degree in computer science or a course with significant computational content.
The programme is particularly suited to those interested in applying data science techniques in bioscience and industrial biotechnology contexts. This MSc offers a structured, supportive route into data-driven roles with real-world impact, whether you aim to work in:
- sustainable manufacturing
- digital health
- environmental analysis, or
- research and development
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques, practical implementation, and ethical considerations of data science. NICD will help you learn with data bootcamps and learning through experience.
Whether you are looking to transition into data science or apply it more effectively in a life sciences context, this course is well suited. The programme will equip you with the practical, analytical, and professional expertise employers are looking for.
Additional information
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Harness the power of biological data to drive innovation. Gain hands-on expertise analysing real-world bioscience data, in demand across the biotechnology, healthcare, and environmental sectors.
Biology is at the heart of society’s grand challenges, from food security and global health to biodiversity loss and climate change.
Addressing these complex issues increasingly relies on data-driven solutions.
As bioscience industries undergo rapid digital transformation, a skills gap has emerged in data handling, modelling, and interpretation. Our Data Science and Industrial Biotechnology MSc is designed to close this gap.
We will prepare you for a career at the cutting-edge of industrial biotechnology, bioinformatics, environmental monitoring, or health innovation.
During your studies, you’ll learn how to turn complex biological and environmental data into meaningful insights. You’ll work with genuine datasets to solve authentic challenges, from modelling microbial communities to predicting bioprocess yields.
You’ll be taught by leading academics from our Centre for Industrial Biotechnology. Our researchers are at the forefront of applying data science to real-world biological challenges. This ensures your learning is shaped by pioneering science and industry insight.
What sets our course apart is the strong connection to industry. You’ll work on live project briefs, co-designed hackathons, and applied assessments that mirror real-world practice. You’ll graduate with a portfolio that showcases actual skills to future employers.
Who this course is for
This MSc is ideal for graduates looking to transition into data science but have an interest in biotechnology.
Applicants should not have a degree in computer science or a course with significant computational content.
The programme is particularly suited to those interested in applying data science techniques in bioscience and industrial biotechnology contexts. This MSc offers a structured, supportive route into data-driven roles with real-world impact, whether you aim to work in:
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques, practical implementation, and ethical considerations of data science. NICD will help you learn with data bootcamps and learning through experience.
Whether you are looking to transition into data science or apply it more effectively in a life sciences context, this course is well suited. The programme will equip you with the practical, analytical, and professional expertise employers are looking for.
Additional information
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Biology is at the heart of society’s grand challenges, from food security and global health to biodiversity loss and climate change.
Addressing these complex issues increasingly relies on data-driven solutions.
As bioscience industries undergo rapid digital transformation, a skills gap has emerged in data handling, modelling, and interpretation. Our Data Science and Industrial Biotechnology MSc is designed to close this gap.
We will prepare you for a career at the cutting-edge of industrial biotechnology, bioinformatics, environmental monitoring, or health innovation.
During your studies, you’ll learn how to turn complex biological and environmental data into meaningful insights. You’ll work with genuine datasets to solve authentic challenges, from modelling microbial communities to predicting bioprocess yields.
You’ll be taught by leading academics from our Centre for Industrial Biotechnology. Our researchers are at the forefront of applying data science to real-world biological challenges. This ensures your learning is shaped by pioneering science and industry insight.
What sets our course apart is the strong connection to industry. You’ll work on live project briefs, co-designed hackathons, and applied assessments that mirror real-world practice. You’ll graduate with a portfolio that showcases actual skills to future employers.
Who this course is for
This MSc is ideal for graduates looking to transition into data science but have an interest in biotechnology.
Applicants should not have a degree in computer science or a course with significant computational content.
The programme is particularly suited to those interested in applying data science techniques in bioscience and industrial biotechnology contexts. This MSc offers a structured, supportive route into data-driven roles with real-world impact, whether you aim to work in:
- sustainable manufacturing
- digital health
- environmental analysis, or
- research and development
Aspects of this course are delivered by expert data scientists from the UK’s National Innovation Centre for Data (NICD). You’ll immerse yourself in their leading-edge techniques, practical implementation, and ethical considerations of data science. NICD will help you learn with data bootcamps and learning through experience.
Whether you are looking to transition into data science or apply it more effectively in a life sciences context, this course is well suited. The programme will equip you with the practical, analytical, and professional expertise employers are looking for.
Additional information
This Data Science Master's degree is part of a suite of Data Science conversion degrees. You may also be interested in:
Admission Requirements
2.7+
6.5+
70+
4.5+
125+
A 2:2 BSc honours degree in Biology, or international equivalent
GCSE Mathematics grade 6 in Mathematics (or equivalent)
Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
GCSE Mathematics grade 6 in Mathematics (or equivalent)
Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.
12 Months
Sep
Tuition fees
Domestic
14,500 GBP
International
31,700 GBP
Scholarships
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Master
Open
Value
$13518
Deadline
30 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
Newcastle University
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