Everything you need to know...
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What is the fee?
Home: See fees section below
International/EU: £17,155 per year -
How long will I study?
4 / 5 Years
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Where will I study?
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What are the entry requirements?
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What is the UCAS code?
BB06
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When do I start?
September 2025
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Placement year available?
Yes
1. Course summary
- Gain expertise in advanced mathematical topics.
- Master skills in mathematical modelling and data analysis.
- Tackle real-world challenges in sustainability and beyond.
- Engage with interdisciplinary collaborations from within and beyond the university.
- Be mentored and supported by award-winning teaching staff.
Our MMath course builds upon our BSc (Hons) Mathematics program, emphasising practical applications to prepare students for real-world, setting it apart from many other theoretical-focused mathematics degrees in the UK.
With mathematics graduates predominantly entering industries like data analytics due to the increasing significance of mathematics and data in contemporary society, there's a demand for proficient graduates capable of applying their skills and possessing essential personal attributes for career success. This is why the SHU course prioritises practical application, leadership preparation, and comprehensive student support.
Accredited by
This course is accredited by the Institute of Mathematics and its Applications (IMA).

Come to an open day
Find out more at our postgraduate open days. Book now for your place.
2. How you learn
You will learn all the core maths techniques you need - algebra, calculus and data analysis - with a strong focus on their application to the real world. Key themes of our degree are mathematical modelling, how mathematics is used in society and how it can help tackle global sustainability challenges.
Teaching and learning activities are designed to support you to develop your understanding of mathematics concepts and ability to apply them in various contexts. Application contexts are informed by our collaborative partnerships with industry, including live projects where you work with local companies, charities and government on issues they are facing. Our teaching team is recognised internationally for its research into how to teach mathematics at university, and our teaching is informed by this. The teaching team also includes experts in mathematical research including in mathematical modelling, statistics and pure mathematics.
In keeping with the demands of the subject area, the diverse range of student learning styles and circumstances, and the range and diversity of learning outcomes across the modules, a mixture of methods are used:
- collaborative workshops
- lectures
- small-group tutorials/problem classes
- peer-assisted learning
- research and investigations
- project work
- independent learning, via notes, printed literature, and through the university virtual learning environment
Key Themes
Maths has a vital role in modern life, underpinning many technological, scientific and digital developments which can improve health, drive economic growth, transform societies and enhance our environment. At Sheffield Hallam University we’re passionate about using mathematical modelling to address sustainability challenges. You could be modelling the spread of infectious diseases, managing sustainable use of renewable resources, designing for energy efficiency or simulating sustainable transport – maths is at the heart of some of the biggest global issues we face.
To support your development into a professional mathematician, real-life case studies and work experience are embedded into the course. Case studies come from areas such as mathematical modelling, machine learning and AI, data analysis and climate science. Some of these are presented by academic staff whose expertise lie in that field, others are presented by guest lecturers from partners in industry in the local region, giving you direct links to future employers and the opportunity for professional networking.
Course Level Support
- You will be supported in your learning journey towards highly-skilled, graduate-level employment. This includes:
- Access to our student support triangle to help with your personal, academic and career development.
- Access to our Skills Centre with one-on-ones, webinars, and online resources, where you can get help with planning and structuring your assignments.
Applied learning
Work Placements
You’ll have the opportunity to arrange a year-long work placement in between your second and third years. This gives you valuable work experience to prepare you for your future career and allows you to graduate with an Applied Professional Diploma to add to your CV.
Your course is designed to give you the knowledge, confidence and readiness to secure and succeed in your placement. To compliment this, you have access to various support activities, resources, employer events and opportunities from your Careers & Employability Team to ensure you make the most of your work experience opportunities during your degree.
Live Projects
Live projects form an essential part of our teaching. You will work on live data sets from local businesses, government, health trusts or charities, developing essential skills such as project management, team work, and reporting and presenting results to both technical and non-technical audiences. By undertaking this work, you also get real work experience as a consultant, preparing you for future career.
In your third and fourth years of study, you will have a further chance to apply knowledge gained earlier in the course by undertaking individual projects. A broad range of topics are on offer from looking at maths anxiety in schools; modelling the spread of disease; problems in cryptography and space. You can also choose a project/dissertation topic set by a real company. If you take this option, our support team will help you to arrange this, and you will liaise with both your supervisor and contacts from the company to complete your project.
Networking Opportunities
Maths is a subject that interacts with many other subjects and areas. Some you might expect, like engineering, science and finance. Others might be more surprising, such as psychology, music and architecture. Wherever your interest takes you, there are many ways to apply your mathematical learning.
3. Future careers
This course prepares graduates who are highly employable in many general and specialist graduate roles, including
- Scientific or medical research
- Medicine and health logistics
- Engineering
- Business logistics, market research and data analysis
- Local and national government
- Finance and banking, wealth management, counter fraud
- IT/technology
- Teaching
Previous graduates of this course have gone on to work for:
- HSBC
- Lloyds Banking Group
- Direct Line
- Experian
- WSP
- BAE Systems
- Volkswagen
- International Airlines Group
- Reckitt
- AstraZeneca
- Covance
- Parexel
- NHS England
- Disney
- UK Government
- Civil Service
- Amazon Logistics
- Nectar360 at Sainsbury’s
Several of our students choose to go on to further study. In recent years, our students have gone on to study research degrees in computational fluid dynamics, computational neuroscience, and pure mathematics.
4. Where will I study?
You study at City Campus through a structured mix of lectures, seminars and practical sessions as well as access to digital and online resources to support your learning.
City Campus
City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.
City Campus map | City Campus tour

Adsetts library
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.
Learn more5. Equipment and facilities
A dedicated collaborative working space for students and staff provides group working areas, study tables, meeting rooms and access to nearby staff offices. There are also large screens and whiteboards to enable discussions, spaces for individual study with PCs and laptop loans, and smaller tables for one-to-one meetings. This builds a strong supportive community with staff and students from every year of the course working together. Multi-purpose IT-enabled teaching rooms enable our supportive teaching and learning methods, including providing access to industry-leading specialist software.
6. Entry requirements
All students
UCAS points
- 128-136
This must include at least 40 UCAS points from Mathematics A level or equivalent. For example:
- ABB-AAB at A Level including Mathematics.
- DDD in BTEC Extended Diploma in a relevant subject.
- Distinction overall from a T level qualification.
- A combination of qualifications which must include Mathematics and may include AS levels and EPQ
You can find information on making sense of UCAS tariff points here and use the UCAS tariff calculator to work out your points.
GCSE
- English Language at grade C or 4
- Maths at grade C or 4
- Science at grade C or 4
GCSE equivalents
- Level 2 Literacy or Functional Skills Level 2 English
- Level 2 Numeracy or Functional Skills Level 2 Maths
• Foundation - pass from the preparatory year of our Extended Degree Programme Engineering and Mathematics, depending on academic performance
• Access - an Access to HE Diploma with at least 45 credits at level 3 and 15 credits at level 2. At least 18 level 3 credits must be at merit grade or above, from a QAA-recognised Access to HE course, or an equivalent Access to HE certificate.
If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. If your English language skill is currently below IELTS 6.0 we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English score.
We will consider applicants who have studied other areas individually. Please contact us for more information.
Additional information for EU/International students
If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page.
For details of English language entry requirements (IELTS), please see the information for 'All students'.
Modules
Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page. .
You will be able to complete a placement year as part of this course. See the modules table below for further information.
Compulsory modules
This module develops your knowledge and understanding of key statistical techniques, statistical software and project-based skills, working
collaboratively with local partners on an applied project. You’ll learn through a mix of lectures, workshops and laboratory sessions.
You’ll study topics such as:
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Project-based statistics, from data collection to conclusions
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Statistical programming
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Data manipulation, summary and visualisation
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Commonly used statistical techniques and statistical modelling
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Working with employers as a data analyst
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Consultancy and project management skills
This module develops the skills required of a professional mathematician, including reading, thinking and working with mathematical and statistical ideas, and programming. In lectures, workshops and group tutorials, you’ll develop confidence and accuracy with foundational concepts and techniques, extending these to new topics which are essential for successful further study.
You’ll study topics such as:
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Functions, solving equations and complex numbers
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Calculus, analytical and numerical techniques for basic differential equations
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Matrices and linear algebra
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Core concepts of statistics
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Probability and inferential statistics
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Programming
This module develops skills in applying both familiar and new mathematical techniques to solve everyday problems, including critical thinking, team work and understanding the roles of different team members. Through lectures, workshops and group tutorials, you’ll appreciate the role of mathematics and statistics in research and wider society.
You’ll study topics such as:
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Modelling principles and techniques
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Matrix algebra
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Linear simultaneous equations and vectors
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Linear programming
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Queuing systems
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Probability
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Ordinary differential and difference equations
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Mathematics and statistics in real-world contexts
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The role of ethics
This module explores problem solving and mathematical thinking skills by introducing mathematical theory and abstraction. Through interactive workshops you’ll develop an appreciation of rigour and methods of mathematical proof.
You’ll study topics such as:
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Problem-solving strategies
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Communicating solution methods with clear definitions and justifications
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Connecting and applying prior learning and skills to new problems
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Proof methods
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Set theory and logic
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Number bases
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Modular arithmetic
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Functions
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Group and graph theories
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Combinatorics
Compulsory modules
This module broadens your experience of techniques and applications of calculus, including vector calculus, Fourier analysis, linear algebra and operational research. You’ll learn through lectures, tutorials and workshops.
You’ll study topics such as:
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Multiple integrals, double integration in Cartesian and polar co-ordinates
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Change of order of integration and triple integration
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Vector calculus gradient, divergence, curl, identities and directional derivative
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Fourier analysis
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Spaces isomorphic to Rn
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Linear independence, bases, subspaces, rank and transformations
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Eigenvectors, eigenvalues and abstract vector spaces
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Simplex method
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Constrained and unconstrained optimisation
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Graph theory and networks
Module Aim:
To develop knowledge and understanding of different modelling techniques in a variety of contexts to enable the production and interpretation of model output in real world scenarios.
Indicative content:
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Continuous modelling with differential equations
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Discrete modelling
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Statistical modelling
At least one of these will include an enhanced applied project.
The module will be delivered through workshop style teaching sessions and independent study.
This module contributes to course cohesion by developing the core skills of mathematical modelling central to applied mathematics and integral to the core Level 6 modules.
This module develops mathematical rigour and knowledge in an area of pure mathematics, enabling you to prove and apply theorems and discover properties of mathematical objects. You’ll explore both real and complex analysis through a mix of lectures and tutorials.
You’ll study topics such as:
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Upper and lower bounds
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Inequalities
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Convergence and divergence of sequences and series
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Power series
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Complex-valued functions
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Cauchy-Riemann equations
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Contour integration
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Laurent series
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Residues
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Applications of contour integration
This module develops your theoretical understanding and practical application of more advanced statistical techniques that are used widely in industry. You’ll also expand on techniques covered at level 4.
You’ll study topics such as:
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Statistical modelling and application
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Model formulation and selection
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Identification of issues
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Non-linear models
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Understanding the relevant theory
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Probability and theory of statistical inference
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Bayesian statistics
Elective modules
This module is for undergraduate students to study abroad in their second year, Semester 2 (only for courses that offer this option). With this module, you can spend a semester at one of the University’s approved partner institutions worldwide – from Europe to the Americas, Australia or Canada.
Study Abroad plays an important role in the University's commitment to an engaging, challenging, and thriving learning culture. It offers opportunities to experience other academic cultures and foster intellectual maturity while enhancing co-curricular skills and students' long-term employability.
Study abroad for credit is permitted on existing university-approved courses only. Students are awarded credits and grades at the partner institution, which are converted into Sheffield Hallam credits and grades on return and included in the Sheffield Hallam degree classification.
Please check and refer to the webpage How study abroad works. You must submit a Learning Agreement outlining the modules you will be taking at the partner institution. The Learning Agreement will be signed off by your academic tutor to ensure that the Learning broadly covers the Learning Outcomes set out in your course curriculum during your study abroad.
Optional modules
Module aim:
The aim of this module is to enhance students’ professional development through the completion of and reflection on meaningful work placement(s).
A work placement will provide students with opportunities to experience the realities of professional employment and experience how their course can be applied within their chosen industry setting.
The placement will:
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Allow student to apply the skills, theories and behaviours relevant and in addition to their course
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Enable students to enhance their interpersonal skills in demand by graduate employers – communication, problem solving, creativity, resilience, team work etc
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Grow their student network and relationship building skills
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Provide student with insights into the industry and sector in which their placement occurs
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Help student make informed graduate careers choices
Indicative Content:
In this module students undertake a sandwich placement (min 24 weeks / min 21 hours per week) which is integrated, assessed and aligned to their studies.
Their personal Placement Academic Supervisor (PAS) will be their key point of contact during their placement and will encourage and support students to reflect on their experience, learning and contribution to the organisation they work for.
To demonstrate gains in professional development, students will be required to share their progress, learning and achievements with their Placement Academic Supervisor and reflect on these for the summative piece of work.
Compulsory modules
This module develops your theoretical and practical expertise in a range of mathematical and statistical applications. Through lectures, seminars, tutorials, workshops and lab sessions, you’ll specialise in your own area of interest to further your knowledge and enhance your mathematical and statistical skills.
You’ll study topics such as:
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Modelling with partial differential equations
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Mathematical biology
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Fluid dynamics
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Data science and statistics
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Codes, cryptography and abstract algebra
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Combinatorics and game theory
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Mathematical physics
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Mathematical finance
This module applies tools developed throughout the degree to build mathematical models that tackle issues of sustainability. Through lectures, seminars, tutorials, workshops and lab sessions, you’ll specialise in areas of interest, further developing your theoretical and practical expertise in a range of mathematical and statistical applications.
You’ll study topics such as:
- The mathematics of sustainability
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Mathematical biology
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Fluid dynamics
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Data science and Statistics
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Codes, cryptography, and abstract algebra
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Combinatorics and game theory
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Mathematical physics
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Mathematical finance
Your individual final year project is the apex of your academic journey, offering a platform to apply the wealth of knowledge and skills gathered throughout your degree to real-world linked problems. This module requires your creativity, problem-solving capabilities, and the ability to navigate new material independently in whichever field you choose to specialise in.
This module allows you to:
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Undertake in-depth research in a topic of your choosing
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The opportunity to work alongside cutting-edge researchers
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Create a body of work that can support you into further study, or work in a field that interests you
Develop solid foundations for undertaking a self-managed academic research project. On this module you will develop the skills and understanding you will need to complete your dissertation project to the highest level. Through lectures, guided reading and one-to-one discussions with your project supervisor you will design a design a path through to successful completion of an extensive research project including developing the project management skills you will need to achieve this.
You’ll study topics such as
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The life cycle of a project
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Reviewing academic literature
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Quality management
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Project management techniques and tools
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Research ethics
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Intellectual property rights
Compulsory modules
This module aims to give experience in the practice of engineering and related disciplines at a professional level. It involves planning, managing, executing and reporting a programme of work which will normally involve a mixture of experimental, theoretical and computational work together with a review of relevant previous work in the field.
You’ll study topics such as:
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Approaches to managing complex technical projects
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Effective teamwork and management
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Planning and coordinating a team-based activities
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Roles in a team
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Critical reflection
This Project and Dissertation module represents the capstone in your learning journey. It is your chance to push the boundaries of knowledge, showcasing originality through major research. Dive into an intellectually rich master's-level research project, all guided by your chosen topic and your dedicated Sheffield Hallam dissertation supervisor.
This module allows you to:
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Develop your own original ideas on a topic of your choosing.
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Work alongside active researchers and receive one-to-one guidance.
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Contribute to the field of your choosing and advance it in a meaningful way.
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Gain insight into the day-to-day activities of a research scientist.
Engage with cutting-edge research in this wide-ranging module and fuel your independent exploration. Explore an advanced area of research of your choosing and work alongside an active researcher in that field. Through a range of taught sessions, directed reading and investigations you will forge an understanding of a currently active area of research, culminating in presenting your findings in the style of an academic paper suitable for publication.
In this module provides you with:
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The opportunity to further your understanding in a specialist topic
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The chance to work as part of a research team on cutting-edge research
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The opportunity to have your work published
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The experience of being a professional researcher
In this module you will cultivate the essential skills for preparing the ground for dissertation work. You will develop and plan an original piece of research, supported though taught sessions that impart theories and concepts as well as one-to-one instruction from a dedicated supervisor who is an active researcher in the field. This module is your foundation to developing the skills needed for high-quality research and scientific excellence.
This module allows you to:
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Dive into the world of research from the ground up.
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Master the art of research planning to ensure you are producing high-quality work.
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Learn the art of literature search and evaluation and develop a critical faculty to examine the work of others.
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Improve your academic writing abilities, with the potential of developing publishable research.
8. Fees and funding
Home students
Our tuition fee for UK students on full-time undergraduate courses in 2025/26 is £9,535 per year (capped at a maximum of 20% of this during your placement year). These fees are regulated by the UK government and therefore subject to change in future years.
If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.
International students
Our tuition fee for International/EU students starting full-time study in 2025/26 is £17,155 per year (capped at a maximum of 20% of this during your placement year)

Financial support for home/EU students
How tuition fees work, student loans and other financial support available.
Additional course costs
The links below allow you to view estimated general course additional costs, as well as costs associated with key activities on specific courses. These are estimates and are intended only as an indication of potential additional expenses. Actual costs can vary greatly depending on the choices you make during your course.
General course additional costs
Additional costs for School of Computing and Digital Technologies (PDF, 131.3KB)Legal information
Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.