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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:
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:
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:
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:
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.
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)
Data Science and Industrial Biotechnology MSc
Newcastle University, Newcastle upon Tyne, United Kingdom
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
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:
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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:
Admission Requirements
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.
Tuition fees
Domestic
International
Scholarships
Newcastle University Nigeria Future Leaders Scholarships (2026 entry)
Value
$13518
Deadline
30 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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International Development and Education MA
International Development and Education MA
International Development and Education with Cross Cultural Communication MA
International Development and Education with Cross Cultural Communication MA
International Law and Global Challenges LLM
International Law and Global Challenges LLM
International Multimedia Journalism MA
International Multimedia Journalism MA
International Politics (Geopolitics) MA
International Politics (Geopolitics) MA
International Politics (Global Justice and Ethics) MA
International Politics (Global Justice and Ethics) MA
International Relations MA
International Relations MA
International Security: Conflict, Crime and Justice MScL
International Security: Conflict, Crime and Justice MScL
Latin American Studies MLitt
Latin American Studies MLitt
Law LLM
Law LLM
Media and Journalism MA
Media and Journalism MA
Media and Public Relations MA
Media and Public Relations MA
Media, Society and Cultural Studies (Research) MA
Media, Society and Cultural Studies (Research) MA
Operations, Logistics and Supply Chain Management MSc
Operations, Logistics and Supply Chain Management MSc
Politics (Research) MA
Politics (Research) MA
Project Management MSc
Project Management MSc
Public Health MPH, PGDip, PGCert
Public Health MPH, PGDip, PGCert
Public Policy MSc
Public Policy MSc
Sociology MA
Sociology MA
Sociology and Social Research MA
Sociology and Social Research MA
Sport and Exercise Psychology MSc
Sport and Exercise Psychology MSc
Statistics MSc
Statistics MSc
TESOL MA
TESOL MA
TESOL and Digital Technology MA
TESOL and Digital Technology MA
TESOL and Intercultural Communication MA
TESOL and Intercultural Communication MA
World Politics and Popular Culture MA
World Politics and Popular Culture MA
Full-Time MBA (1)
Master of Business Administration MBA
Master of Business Administration MBA
Arts and Humanities (6)
Applied Linguistics MPhil, PhD
Applied Linguistics MPhil, PhD
Archaeology MPhil, PhD
Archaeology MPhil, PhD
Architecture, Planning and Landscape MPhil, PhD
Architecture, Planning and Landscape MPhil, PhD
Classics and Ancient History MPhil, PhD
Classics and Ancient History MPhil, PhD
Creative Writing MPhil, PhD
Creative Writing MPhil, PhD
English Literature MPhil, PhD
English Literature MPhil, PhD
Film Practice PhD
Fine Art MPhil, PhD
History MPhil; PhD
Linguistics MPhil, PhD
Linguistics and English Language Integrated PhD
Modern Languages MPhil, PhD
Museum, Gallery and Heritage Studies MPhil, PhD
Music MPhil, PhD
Philosophy MPhil, PhD
Rural Studies MPhil, PhD
Translation and Interpreting MPhil, PhD
Business and Management (6)
Accounting and Finance PhD
Accounting and Finance PhD
Business and Management PhD
Business and Management PhD
Economics PhD
Economics PhD
Marketing PhD
Marketing PhD
Engineering and Technology (6)
Chemical Engineering MPhil, PhD
Chemical Engineering MPhil, PhD
Civil Engineering (Environmental) MPhil, PhD
Civil Engineering (Environmental) MPhil, PhD
Civil Engineering (Geotechnical and Engineering Geology) MPhil, PhD
Civil Engineering (Geotechnical and Engineering Geology) MPhil, PhD
Civil Engineering (Structural) MPhil, PhD
Civil Engineering (Structural) MPhil, PhD
Civil Engineering (Transport) MPhil, PhD
Civil Engineering (Transport) MPhil, PhD
Civil Engineering (Water Resources) MPhil, PhD
Civil Engineering (Water Resources) MPhil, PhD
Computer Science Integrated PhD
Computer Science MPhil, PhD
Electrical and Electronic Engineering PhD
Energy MPhil, PhD
Geospatial Engineering MPhil, PhD
Materials Engineering MPhil, PhD
Mechanical and Systems Engineering MPhil, PhD
Nanoscale Science and Technology MPhil, PhD
Life Sciences and Medicine (6)
Ageing MPhil, PhD, MD
Ageing MPhil, PhD, MD
Agriculture MPhil, PhD
Agriculture MPhil, PhD
Animal Science MPhil, PhD
Animal Science MPhil, PhD
Applied Educational Psychology Doctorate (DAppEdPsy)
Applied Educational Psychology Doctorate (DAppEdPsy)
Biology MPhil, PhD
Biology MPhil, PhD
Biomedicine MPhil, PhD, MD
Biomedicine MPhil, PhD, MD
Biosciences MPhil, PhD, MD
Biotechnology (Biological, Agricultural and Environmental Sciences) MPhil, PhD
Biotechnology (Marine Sciences) MPhil, PhD
Biotechnology (Medical Sciences) MPhil, PhD
Cancer MPhil, PhD, MD
Clinical Psychology (DClinPsych)
Clinical and Medical Sciences Education PhD
Dentistry and Dental Sciences MPhil, PhD
Genetics MPhil; PhD; MD
Marine Sciences MPhil, PhD
Medicine and Surgery MPhil, PhD, MD
Microbiology (Biological Sciences) MPhil, PhD
Microbiology (Medical Sciences) MPhil, PhD, MD
Neuroscience MPhil, PhD, MD
Nutrition, Food and Human Health MPhil, PhD
Pharmacy MPhil, PhD
Psychology MPhil, PhD
Natural Sciences (6)
Chemistry MPhil, PhD
Chemistry MPhil, PhD
Environmental Science (Applied and Environmental Biology) MPhil, PhD
Environmental Science (Applied and Environmental Biology) MPhil, PhD
Food and Society MPhil, PhD
Food and Society MPhil, PhD
Geography PhD
Geography PhD
Geosciences MPhil, PhD
Geosciences MPhil, PhD
Marine Technology MPhil, PhD
Marine Technology MPhil, PhD
Mathematics MPhil, PhD
Physics MPhil, PhD
Social Sciences and Management (6)
Biomedical, Nutritional and Sport Sciences PhD
Biomedical, Nutritional and Sport Sciences PhD
Digital Media PhD
Digital Media PhD
Education Doctor of (EdD)
Education Doctor of (EdD)
Education MPhil, PhD
Education MPhil, PhD
Film Studies MPhil, PhD
Film Studies MPhil, PhD
Journalism and Public Relations PhD
Journalism and Public Relations PhD
Law LLM (by research), MPhil, PhD
Media and Cultural Studies MPhil, PhD
Phonetics and Phonology Integrated PhD
Politics PhD
Public Health, Epidemiology and Health Services Research MPhil, PhD, MD
Sociology PhD
Speech and Language Sciences MPhil, PhD
Statistics MPhil, PhD