phd at huddersfield university

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The Graduate School

New doctoral scholarships available, welcome to the graduate school.

Professor Monty Adkins, Dean of the Graduate School

The University of Huddersfield Graduate School provides an enriching environment for all research students, fostering intellectual and social interaction between graduates, supervisors, and collaborative partners from across the globe. The Graduate School promotes a research culture that recognises the diversity of researcher’s experiences and aspirations and will help you make the most of the resources and opportunities available to support your research, training, and academic development.

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The Graduate School brings together staff and services from across the University to help postgraduate researchers reach their potential.

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*Permanent staff, after probation: some recently appointed colleagues will only obtain recognition in the months after their arrival in Huddersfield, once they have started teaching; research degrees applies to those on contracts of more than half-time.

We have 2 University of Huddersfield PhD Projects, Programmes & Scholarships

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University of Huddersfield PhD Projects, Programmes & Scholarships

Performance assessment of wheel-rail interface friction management products on the harold 2.0 full-scale bogie test rig, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Funded PhD Project (UK Students Only)

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

EPSRC Centre for Doctoral Training in Applied Photonics

Funded phd programme (students worldwide).

Some or all of the PhD opportunities in this programme have funding attached. Applications for this programme are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full programme details for further information.

EPSRC Centre for Doctoral Training

EPSRC Centres for Doctoral Training conduct research and training in priority areas funded by the UK Engineering and Physical Sciences Research Council. Potential PhD topics are usually defined in advance. Students may receive additional training and development opportunities as part of their programme.

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Opportunities

View our phd opportunities.

Join our vibrant and diverse research community, applications are now open for 2022/23 intake of fully-funded PhDs in a wide range of Metrology topics.

You will receive excellent support and have access to impressive facilities.

The Hub has a number of funded PhD research projects listed below. To find out more and how to apply, please click on the project.

View our career opportunities

We are seeking enthusiastic and suitably qualified individuals to fulfil the following exciting new roles. To find out more, please click on the post below, and please visit the  University of Huddersfield website to view the full recruitment packs and to apply on line.

Manufacturing control through online surface prediction

This project is looking for a cost-effect solution to implement online surface prediction and stability monitoring based on IIOT and edge computing with traditional Digital Signal Processing (DSP).

More information and how to apply

Self-calibration of embedded strain sensors for traceable measurement of structure.

In this project, a newly developed sensor, which uses phase-resolved interferometry to measure the elongation of an optical fibre, will be used to measure the structural distortion of mechanical systems such as the main elements of advanced machinery.

Towards metrology systems on a chip using photonic integration.

This PhD project will investigate routes to the creation of optical metrology systems-on-a-chip, where photonic integration will be used to develop a miniaturised broadband interferometry system comprising light sources, detectors and other necessary sub-components, to achieve low-cost miniaturised sensors for the measurement of surface topography, layer thickness and position/displacement.

Application of advanced measurement techniques to tool mark investigation.

This project will focus on: • Determining the characteristics of tool marks and the best practice for measurement of the topography • Exploring casting techniques used when the tool mark cannot be transported to the lab (i.e. doorframes) and the effect of casting on the fidelity of the replica • Applying correlation techniques to the areal surface • Analysing possible error rates in the investigation.

Defining and evaluating geometric dimensioning and tolerances for topology optimised additive manufactured components.

This PhD project will look at evaluating and adapting current approaches to GD&T to create best practice guidelines in terms of both defining and inspecting topology optimised components.

Determining the effect of cartridge variability on ballistic toolmark investigation.

This project will focus on determining the physical and measurable differences in toolmark topography as a result of a number of variables, and the effect on correlation techniques.

Investigating x-ray computed tomography for the characterisation of critical additively manufactured aerospace components.

This project will include the use of CT to evaluate a selection of aerospace components, to produce traceable measurement test artefacts designed specifically to aid evaluation of the measurement uncertainty for each component. Work will be performed to generate MTBF times for specific components.

Intelligent filtration for complex freeform structured surface.

This proposed PhD project aims to develop an intelligent filtration framework for the complex freeform structured surface.

A smart geometric information system.

This PhD project is ambitious in developing a smart geometric information platform using Renishaw’s products and applications as starting patterns.

Sparse data structure for computed tomography measurements

The aim of the project is to use a sparse volume data structure to convert a dense volume into a lighter representation. Using a sparse data structure allows faster filtering and segmentation processes.

Development of new generation surface metrology software.

This PhD project is to develop next-generation geometry/surface metrology software for the characterisation of new types of freeform and structured surfaces.

Development of a compact broadband interferometer.

This project is to develop a broadband optical interferometer for measuring surface roughness, to be deployable on a robot.

Development of integrated self-aware sensors for manufacturing.

This aim of this project is to develop fundamental concepts behind a ‘self-aware’ sensor that can holistically evaluate the full gamut of information contained within an acquired signal in order to determine not only the primary information e.g. height/distance but also to track changes in other secondary parameters such as alignment, calibration status, environmental/measurand variation.

Data-driven intelligent micro and nanomanufacturing technologies for functional surfaces.

The aim of this PhD research project is to develop data-driven intelligent micro and nanomanufacturing technologies for high value-added functional surfaces.

Design and manufacture of freeform functional surfaces in novel optical materials.

The aim of this PhD research project is to broaden the knowledge of design and manufacture of freeform surfaces in novel optical materials.

Development of a virtual integrated ultra-precision manufacturing and metrology system for advanced freeform surfaces.

The aim of this PhD project is the development of a virtual integrated manufacturing system for freeform surfaces based on our current freeform CAD/CAM framework. The virtual system will be developed with functional modules covering surface generation, toolpath planning, machining stability analysis and surface profile predication.

Under the Skin of Ultra-Precision Manufacturing

This studentship concerns research in advanced robotic manufacture of ultra-precision surfaces in glassy materials, required for numerous applications in science, medicine, and industry. Fine surface processing involves “rubbing” rather than cutting, is of limited predictability, and still poorly understood. The studentship is associated with a major new EPSRC-funded project to deepen that understanding, by exploring challenging multi-physics, multi-scale science at the interface between computational fluid dynamics and molecular dynamics. This will be informed by controlled experiments with extensive process-monitoring, with modelling reinforced by machine learning. The the end-game is to use real-time process-monitoring to keep processes ‘on track’, reducing manufacturing cost, time and defect rate.

PhD-Opportunity-Ultra-Precision-Manufacturing

Development of Bio functionalized surfaces using Additive Printing of Materials

The project seeks to demonstrate the capability of surface-engineered metal additive bioactive surfaces using Titanium as a base material.

PJB biofunctionalized surfaces

Development of Bio functionalized surfaces

Development of Bio functionalized surfaces using Additive Printing of Materials.

This studentship concerns research in advanced robotic manufacture of ultra-precision surfaces in glassy materials, required for numerous applications in science, medicine, and industry.

Manufacturing control

Manufacturing control through online surface prediction.

Self-calibration of embedded strain sensors

Towards metrology systems on a chip, application of advanced measurement techniques, defining and evaluating geometric dimensioning and, determining the effect of cartridge variability, investigating x-ray computed tomography.

Investigating x-ray computed tomography for the characterisation of critical additively manufactured aerospace components.

Intelligent filtration

A smart geometric information system.

This PhD project is ambitious in developing a smart geometric information platform

Sparse data structure

Sparse data structure for computed tomography measurements.

Surface metrology software

Development of a compact broadband interferometer, integrated self-aware sensors for manufacturing, technologies for functional surfaces, functional surfaces in novel optical materials, ultra-precision manufacturing and metrology system.

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(re)constructing bretton hall college: students as the ‘spaces in between’ sir alec clegg’s impact on the creation of a community of practice.

Supervisor: Bailey, R. (Main Supervisor) & Adkins, M. (Co-Supervisor)

Student thesis : Doctoral Thesis

A Baku analysis of constructivism as a revolutionary architecture

Supervisor: Gao, Y. (Main Supervisor) & Tzortzopoulos, P. (Co-Supervisor)

Student thesis : Master's Thesis

A case study into leaderism among curriculum managers in further education

Supervisor: Simmons, R. (Main Supervisor) & Bailey, W. (Co-Supervisor)

A Case Study of Social Enterprise Adoption of Sustainable Business Model Innovations: Shining a light on Sub Saharan Africa’s energy sector at the BoP

Supervisor: McEachern, M. (Main Supervisor) & Adams, K. (Co-Supervisor)

Acceptability and Disalignment in Co-Animation

Supervisor: Holt, E. (Main Supervisor) & O'Driscoll, J. (Co-Supervisor)

Access to Justice for Child Victims of CSA in England and Wales: The role of planning and assessment in ABE interviewing

Supervisor: Percy-Smith, B. (Main Supervisor)

Access to Medicines in the United Kingdom

Supervisor: Babar, Z. (Main Supervisor) & Hasan, S. (Co-Supervisor)

Access to the Aesthetic: Exploring the Roles of the Functional, the Cultural & the Aesthetic with Respect to the Production of Tactile Images

Supervisor: Roberts, S. (Main Supervisor) & Unver, E. (Co-Supervisor)

A CFD Analysis of Boiling Heat Transfer using Nanofluids

Supervisor: Liu, L. (Main Supervisor) & Hinks, J. (Co-Supervisor)

A Comparative Analysis of the Portrayal of General Musharraf’s Regime in UK (The Guardian; The Times) and Pakistani (The Dawn; The Nation) Left-wing and Right-wing Broadsheets : The Hegemonic Phases of a Dictator and Convergence of the International Press/Political Ideologies

Supervisor: Hills, M. (Main Supervisor) & Johnson, C. (Co-Supervisor)

A comparative Case study of the relationship between Social enterprise and migrant health patterns within India during Covid-19

Supervisor: Snowden, M. (Main Supervisor) & Halsall, J. (Co-Supervisor)

A critical analysis of the Legal Framework for Investment Promotion and Protection in selected ECOWAS Member States

Supervisor: Ndi, G. (Main Supervisor) & Kila, K. (Co-Supervisor)

A Critical Examination of the Youth Work Contribution to Young People’s Employability: Youth Work Professional’s Perceptions of the Youth Work Contribution to Young People’s Employability

Supervisor: Thomas, P. (Main Supervisor) & Jones, H. (Co-Supervisor)

A critical investigation of how disabled youth work practitioners use their experiences to shape their youth work practices

Supervisor: Thomas, P. (Main Supervisor) & Patel, R. (Co-Supervisor)

Adoption of Compact City Planning to promote Sustainable Urban Development in Ghana: The case of Greater Accra

Supervisor: Delsante, I. (Main Supervisor), Pitts, A. (Co-Supervisor) & Gohar, A. (Co-Supervisor)

Adoption of the Physical Internet (PI): Key Implementation Challenges

Supervisor: Validi, S. (Main Supervisor) & Nicholson, J. (Co-Supervisor)

Advanced Nuclear Materials Design: A Computational Investigation of Tungsten Nanostructures

Supervisor: Molinari, M. (Main Supervisor) & Hinks, J. (Co-Supervisor)

A Framework for Creating Sustainable and Resilient Cities in the Niger Delta Region of Nigeria through Harnessing the Opportunities of its Oil-Induced Rapid Urbanisation

Supervisor: Amaratunga, D. (Main Supervisor) & Haigh, R. (Co-Supervisor)

A Framework for Developing a Robust Explainable Model for the Prediction of Student Performance using Machine Learning Techniques

Supervisor: Ward, R. (Main Supervisor) & Hill, R. (Co-Supervisor)

A Framework for Empowering Women in Disaster Risk Governance in Sri Lanka

Against the grain: a technical investigation exploring viable grainline deviation to enable effective repurposing of jersey t-shirt fashion surplus into new garment solutions.

Supervisor: Hewitt, A. (Main Supervisor) & Bailey, R. (Co-Supervisor)

Ageing well in Nepal? Exploring the health and social care needs of older adults: A qualitative study in Dhading district of Nepal

Supervisor: Simkhada, P. (Main Supervisor) & Sah, R. (Co-Supervisor)

Agriculture and Sustainable Development: A case study of Agrarian change in Libya

Supervisor: Siddiqui, K. (Main Supervisor)

A History of Improvisation in the Medieval Music Revival

Supervisor: Haworth, C. (Main Supervisor)

'A life in Death’: A grounded theory exploratory study investigating the realities and factors that impact and aid individual wellbeing of those who volunteer in a UK Disaster Victim Identification (DVI) role

Supervisor: Roach, J. (Main Supervisor) & Cartwright, A. (Co-Supervisor)

Former student heads to prison for life for killing University of Arizona professor

PHOENIX − A former University of Arizona graduate student was sentenced to life in prison without the possibility of parole for the murder of a professor on campus in 2022 .

Murad Dervish , 48, was found guilty of first-degree murder after he shot Thomas Meixner, head of the university's Department of Hydrology and Atmospheric Sciences, on Oct. 5, 2022. The sentence he received Monday will put him behind bars for the rest of his natural life, plus 14 years, with no parole.

Last month, a jury also found him guilty of a slew of other charges , including one count of aggravated assault with a deadly weapon, one count of burglary and three counts of endangerment. Dervish was a graduate student who was expelled and prohibited from being on campus.

He was accused of threatening Meixner and other faculty and university staff for more than a year.

Dervish's attorney wanted his client to be found guilty but insane, telling the jury Dervish did not know right from wrong and was psychotic, paranoid and delusional. The prosecutor from the Pima County Attorney’s Office argued the murder was premeditated and showed threatening emails and evidence that Dervish planned to kill Meixner in the weeks and months before the shooting.

Family, university requested life without parole

During the sentencing, Meisner’s sisters, son and wife spoke about their experience, and all requested Dervish be sentenced to life in prison without a chance of parole. They spoke about how kind and intelligent Meixner was and how he was generous with his community.

One of his sons, Sean Meixner, spoke before the sentencing about his grief, sadness and hatred of Dervish, stating his life would never be the same without his father. He spoke about feeling as though he is waiting to die so he can hold his father again and be free of the "agony living in his absence."

“How could a man who devoted his life to God and others be taken from this life in the worst way possible, in pain and fear? Where was God in that?” he said.

Celina Ramirez, representing the university, said Meixner was a passionate, world-renowned scholar and kind mentor whose leadership resulted in the hydrology department’s high ranking.

She said the shooting has hurt the mental health of students and university staff, noting the challenge it is for many students and employees to return to campus.

“No legal punishment could ever be enough to fully atone for the intense grief and pain the defendant has inflicted upon Dr. Meixner's family, friends, colleagues, students, and the university community,” Ramirez said.

But Meixner’s sisters specifically criticized the university, as well as UA police and the person who sold Dervish the gun he used to kill Meixner.

“The University of Arizona failed my brother,” said Margaret Meixner, one of his sisters. "He loved and trusted the U of A, but that trust was misplaced."

She called the university’s police department incompetent and said the police and the university had her “brother’s blood on their hands.”

University police,  according to a letter by university president Robert Robbins , went to the county attorney’s office twice to seek charges against Dervish. The county attorney declined to press charges because of a lack of evidence.

In the months after the shooting, a faculty report found the university knew about the threats and failed to implement an effective risk management system to keep people on campus safe. Another  report , compiled by a consultant hired by the university, offered 33 recommendations for improving security.

Since then, the university has implemented numerous safety changes and updated safety communications. Meixner's family settled a lawsuit against the university for $2.5 million for failing to protect Meixner.

Dervish apologizes to Meixner's family but says trial was unfair

After Meixner’s family members spoke, Dervish addressed the judge over the objection of his attorney.

Dervish said he was pushed to speak because of the repeated mentions of him being a monster. Dervish spoke about how he had been enamored by the weather ever since he was a child and was so happy when he got into the University of Arizona.

“I felt I was in this new and magical place. I was going to study what I always wanted to truly study,” he said, adding that he fought addiction, homelessness and rejection by people in his life.

He said his heart broke for “what happened.”

“For them to lose him is just horrible, to his wife I don’t even know what to say,” Dervish said. “Just saying the word 'sorry' sounds dumb and ugly. It doesn’t fit … with what happened.” 

He also said “significant errors” were made during the trial, primarily by his attorneys. He noted the trial was not granted a change of venue and claimed the trial was unfair.

“I have yet to have a fair and impartial trial,” he said.

Pima County Superior Court Judge Howard Fell told him that he would have the opportunity for others to review whether the trial was fair.

“Right now, you are going to prison for the rest of your life,” Fell said.

Dervish threatened, harassed staff before the shooting

The prosecutor said that on the day of the shooting, Dervish entered the Harshbarger Building at UA shortly before 2 p.m. He chased Meixner down a hallway in the building and into a classroom. Dervish emptied his magazine, shooting Meixner 11 times.

Dervish then fled the building, police said. According to the complaint, police found Dervish driving on Highway 85 toward Mexico 30 miles south of Gila Bend three hours later.

Documents say Dervish refused to stop, leading police on a chase for 2 to 3 miles until his car was stopped.  

Dervish's behavior was well-known among members of the department and law enforcement before the shooting occurred. In the year before the shooting, Dervish reportedly harassed and threatened staff members working at Harshbarger Building.

Some of the threats were antisemitic: Dervish wished death to all Jews and accused Meixner of orchestrating a Jewish-led conspiracy against him, despite Meixner being raised Roman Catholic.

Dervish's attorney said his anger toward Meixner stemmed from a bad grade on a test.

Before his expulsion from the university, Dervish had been prohibited from stepping foot on university property. Pictures of Dervish were distributed throughout the department with instructions on how and when to call the police.

Additionally, entry passwords for rooms to which Dervish had access were changed.

After the judge handed down the sentence, the Pima County Attorney's Office released a statement saying County Attorney Laura Conover would bring red flag legislation back to the Legislature this year, following the wishes of Meixner's family.

“In honor of the family’s expressed wishes, and under her desire for a safer community, County Attorney Conover will bring her red flag legislation back to the legislature again next year, and for as long as it takes, to bring home common-sense gun safety reforms for a safer and healthier community," her office said in a statement.

Those laws, which have the backing of Democratic Attorney General Kris Mayes, allow courts to order the seizure of firearms from people who might be a threat to themselves or others.

Former Gov. Doug Ducey proposed a similar law, under a different name, in 2018 after 17 students and staff were killed in a shooting at Marjory Stoneman Douglas High School in Parkland, Florida. But the Republican's bill was rejected by the GOP-majority Legislature.

Reach the reporter at  [email protected] . The Republic’s coverage of southern Arizona is funded, in part, with a grant from Report for America. Support Arizona news coverage with a tax-deductible donation at  supportjournalism.azcentral.com.

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Postgraduate fees and finance

Fees and finance.

Postgraduate fees vary depending on your chosen course, the length of time you study for, the level of study ( e.g. Master’s/PhD), and whether you are a home or international student , with fees available on individual course pages. Visit our course pages to fin d fees for your course .   

If you are an international student, please visit our international fees page . 

This information is for applicants applying to study at the University of Huddersfield in the academic year 2023/24. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X). 

Taught tuition fees for Home students 

All the fees above apply for one year from enrolment. Fees for subsequent years are changed at the then current rate.

*Band 1 will normally apply to all courses in Education & Professional Development, and Humanities and some Human and Health courses. 

Band 2 will normally apply to all programmes in Art and Design, Applied Sciences and Computing and Engineering and some Human and Health courses. 

Band 3 will apply to all postgraduate taught courses in the Business School, Music (Performance), and some Human and Health courses. 

Band 4 will apply to Clinical programmes in Human and Health. 

Research tuition fees for Home, International and Distance Learning research degrees 

This information is for applicants applying to study at the University of Huddersfield in the academic year 2023/24. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X).  

*If you are an International student, you can find detailed subject information on the international fees page.

This information is for applicants applying to study at the University of Huddersfield in the academic year 2024/25. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X). 

Taught tuition fees for Home students

Research tuition fees for Home, International and Distance Learning research degrees  

This information is for applicants applying to study at the University of Huddersfield in the academic year 2024/25. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X).  

This information is for applicants applying to study at the University of Huddersfield in the academic year 2024/25. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X). This webpage will be updated with 2025/26 tuition fees as information becomes available. 

The table below sets out the tuition fee charges for applicants applying to study at the University of Huddersfield in the academic year 2024/25 . Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X). This webpage will be updated with 2025/26 tuition fees as information becomes available.  

Research degrees may sometimes include additional costs. There are funding opportunities available to research students that can help with the cost of a research degree course.   

Additional costs (also known as bench fees) may be charged for research degrees where there are exceptional costs directly related to the research project. For example, this might be for equipment hire, access to specialist computer packages, etc. 

If you wish to know if these costs will apply to the course you’re interested in, please contact the Graduate School via email: graduateschool@hud.ac.uk 

We also offer a variety of research scholarships. For more information and a complete list of research scholarships please visit the  scholarships page . 

International tuition fees

Tuition fees for international students differ to those for home students. Please visit our international webpages to find out more information on international tuition fees.

Your fee status and eligibility to study in the UK for all applicants

As part of its admission process, the University is required to determine the fee status and eligibility to study in the UK of all its applicants. For further information please  visit our fee status webpage.  

Funding your studies

Find out what financial support you can get when considering postgraduate study

More information  

If you are unsure about the cost of your course and would like to discuss the options for financing your study further, please contact our Student Finance Office on  +44 (0)1484 472 210  or email  sfo@hud.ac.uk .  

What’s included in your tuition fee?

We want to make sure you understand exactly what your fees will cover.

Student Finance Office

For further information, advice or guidance you can contact us here.

Contact the Finance Office

The Student Finance Office is located in Student Central on Level 4 of the Central Services Building on the main Queensgate Campus.

The Student Finance enquiry desk is open from 10.00am to 4.00pm (Monday to Friday) during term time and between 10.00am and 2.00pm out of term. Outside these hours our services are available through  iPoint .

The cash office is open  10.00am - 12.30pm  and  1.30pm - 3.30pm  during term time, and  9.00am- 1.00pm  out of term.

For queries about invoices received or payments, tuition fee charges, grants, bursaries and scholarships: Tel:  +44 (0)1484 472 210 Email:  sfo@hud.ac.uk

The Student Finance Office can provide support and advise all students regarding financial issues including:

• Information and guidance regarding possible sources of funding for all courses in the University
• Budgeting advice to discuss a variety of options and strategies in order to manage on a budget
• Facilities for the billing and payment of income to be collected by the University
• Debt advice via personal and confidential sessions is available from trained staff along with mediation and resolution

Northwestern University Graduate Student Political Theory Workshop

Political theory conference 2024.

The  Northwestern Graduate Student Political Theory Conference  is a biennial conference that invites graduate students and a keynote speaker to convene with the Northwestern political theory community around a given theme. Details of past conferences  can be found here .

Contesting Narratives: Myth, Memory, and Histories

October 31–november 1, 2024, scott hall, room 212, keynote speaker: prof. linda m.g. zerilli, university of chicago, call for papers.

Building on political theory’s increased attention to marginalized experiences, embodied narratives, and thought at the periphery, this conference invites papers from a multitude of perspectives on the role of narrative in political theory. Our conference will revolve around three non-exhaustive primary themes and we will orient our four panels around variations of these themes. 

The first theme asks how the canonization of political theory produces certain myths and narrative arcs, and how alternative modes of narration harbor resistance and critique. Do certain dominant modes of interpretation in political theory privilege linear narratives and a developmental understanding of the history of political thought? How can alternative styles, registers, and voices contribute to political theorizing in the present, and what do they reveal about registers of speech that have historically been marginalized and even erased? Can fables, myth, and poetry capture fractured identities, meanings, and revelations in novel ways and open up possibilities? What is the role of non-literary modes of narration?

The second theme focuses on the myths and histories that structure and condition formations of power, such as states and empires, and how they shape and legitimize the establishment of hierarchies and domination. How do founding myths about the people, the nation-state, and regimes position the present, and how do they mediate the colonial past and possible futures? How does memory animate the past and present workings of empire? How do different conceptions of time, such as chronos and kairos , condition the shared myths and memory?  Can insurgent storytelling disrupt linear temporalities?

The third theme investigates the role of narrative in identity formation, with particular attention to the encoding of the body and processes of memory. What role does narrative play in the rendering of trauma, creation of desires, and construction of individual subjectivity and communal identity? What kinds of affect do different modes of narrative emit? Whose traumas and stories are represented, and how, and whose are not? How do archives create or reproduce silences, omissions, and dominant frameworks? 

We welcome papers that approach these questions from a variety of perspectives (historical, critical, normative, comparative) in political theory and related disciplines in the humanities, arts, and social sciences. We especially encourage interventions from postcolonial, feminist, indigenous, and non-Western thought. 

The conference will offer attendees the chance to share their research on thematically-linked panels (see above) of around three participants. Northwestern’s political theory graduate students will serve as paper discussants. 

The deadline for submitting proposals is August 5 . Paper proposals should be around 350 words and should be formatted as a PDF document for blind review. Please submit a second PDF including your name, institutional affiliation, and your paper title. Decisions will be made and applicants will be notified by mid-August . Full papers will be required by early-October in order to be distributed to discussants and other panelists and attend ees.

Each presenter will receive a $300 stipend for their participation. 

For further information, please contact Jinxue Chen, Amanda Fu, and Charlotte Mencke at [email protected] .

A pdf of this call for papers is available here .

HSEL Graduate student Selected for Residency

Written by Staff

July 1, 2024

Madalynn Collura, Master's of Arts in Literacy Education graduate student, was selected for the  New York Public Library's Center for Educators and Schools Summer Residency program . The theme for this year's program is "Dangerous Books", which connects to her graduate research work.  Collura is currently finishing her capstone project. For her project, she is building and installing a Little Free Library in her community. This Little Free Library will be filled with books for teenage readers that have been targeted for censorship. These books often explore topics such as mental health, systemic racism, and LGBTQ+ experiences. At a time when young people are constantly learning about themselves and the world around them, books like these can play a crucial role in their development.

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Machine Learning & Data Science Foundations

Online Graduate Certificate

Apply to Expand Your Future

As the value of data continues to skyrocket, companies are in need of people who can transform large data sets into rich analytical insights. Now, you can learn these techniques in Carnegie Mellon’s cutting-edge online program. Apply today to expand your future in machine learning and data science.  

Are we the right fit?  

Let’s face it, pursuing any kind of advanced training is an investment of your time, energy and resources. Before you consider our program, make sure your background aligns with our program expectations.  

Successful applicants will have:

• A bachelor’s degree in STEM or related field  Successful applicants will hold a degree in a science, technology, engineering or math-related field. Other degrees will be considered if the applicant can show the necessary proficiency in math and programming.  
• Proficiency in advanced math  Students should provide evidence of successful completion of advanced math coursework such as calculus, linear algebra and statistics.  
• Proficiency in programming  Students should be proficient in Python, R, or an analogous programming language, with experience writing at least 1000 lines of code.  
• Relevant work experience   Ideally, applicants will have some relevant work experience in either computer programming or a related field. Internships or other related work are acceptable.  
• A disciplined and motivated mindset  Harder to measure, but equally important, successful applicants will have a resilient spirit, a hunger to learn, and a knack for solving problems through technical innovation. With courses taught by CMU faculty from the #4 computer science school in the country, a consistent and conscious effort will be required to master each topic.

If you have questions about the program or how it aligns with your background, please call 412-501-2686 or send an email to  [email protected]  with your inquiries .

Application Requirements

Ready to apply? Here’s what you’ll need to complete the admissions process: 

✔ Complete the online application Submit your application in the application portal.

✔ Submit your resume/CV We’d like to learn more about your employment history, academic background, technical skills, and professional achievements. Submit a 1 to 2 page resume or CV showcasing your experience. 

✔ Submit your transcripts Submit an unofficial copy of your transcript for each school you attended. Transcripts must include your name, the name of the college or university, the degree awarded (along with the conferral date), as well as the grade earned for each course. Email your transcripts directly to [email protected] .  

✔  Upload a statement of purpose Tell us your professional story. Where have you been, and where do you hope to go? In 500 words or less, please share how our program would advance your capabilities in your current role or prepare you for a new role in the industry. 

✔ Submit your TOEFL, IELTS, or DuoLingo test scores An official TOEFL, IELTS, or DuoLingo test is required for non-native English speakers. This requirement will be waived, however, for applicants who either completed an in-residence bachelor’s, master’s, or doctoral degree program in the United Kingdom, United States, or Canada (excluding Quebec) or have at least three years of professional work experience using English as their primary language. If you fall into one of these categories, please include this information on your resume.  

Tuition: Invest in Your Future

By enrolling in our graduate-level program, you'll be investing in your professional growth to expand your skillset or advance your career. We know this is a significant investment. Not just for you, but for your family as well.

Scholarships To help offset the cost of tuition, and to make our program as accessible as possible, we offer a limited number of partial, merit-based scholarships. All applications will be evaluated for these awards automatically; there is no need to submit additional materials. If you are awarded a scholarship, you will be notified in your decision letter.  All applicants who submit by the priority deadline will receive a partial scholarship award.

In addition, Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Machine Learning & Data Science Foundations worth up to 20% of tuition. Indicate your alumni status within the application to be eligible.

So, what is the investment per course? Below is a breakdown of our tuition for the 2024/2025 academic year:

• An additional technology fee of approximately $230 will be assessed each semester.
• The rates above are for the 2024/2025 academic year only. If the program is not completed within that time frame, tuition may increase slightly for the following academic year.

Financing Your CMU Graduate Certificate

Monthly payment plan.

CMU provides a monthly payment option , managed by Nelnet Campus Commerce, designed to help students spread out tuition payments into manageable monthly installments. This plan also offers the ease of online enrollment. Should you be admitted and choose to join us, we recommend registering for this plan early to fully benefit from the range of payment options available.

Financial Aid & Private Loans

Students pursuing a graduate certificate are not eligible to receive federal financial aid. However, private loans are a viable alternative to consider with competitive interest rates and borrower benefits. See FastChoice , a free loan comparison service to easily research options.

Employer Tuition Reimbursement

Many companies offer tuition reimbursement programs to foster professional development among their employees. We encourage you to contact your HR department to find out if similar opportunities exist at your workplace. 

When you speak to your employer, you can share that our program: 

• Consists of transcripted, credit-bearing courses (not just continuing education units). You will earn 36 Carnegie Mellon graduate-level credits when you complete the full program.  
• Equips you with foundational skills in AI, machine learning, and computational data science, which means you’ll be ready to extract meaningful insights from large, complex data sets right from the get-go. With the #1 program in Artificial Intelligence and the #1 Programming Languages school in the country, CMU is the ideal place to learn these skills and techniques.
• Features coursework taught by CMU faculty experts who are spearheading research in language technologies, computer science, machine learning, and human-computer interaction. 
• Is delivered completely online , which means you can take classes on your own time while maintaining your normal work schedule.

Not sure how to approach your employer? Need specific documents to proceed with enrollment?  Call 412-501-2686 or send an email to  [email protected]  with your inquiries .  We’re here to help you take the next step in your professional  journey. 

CMU EMPLOYEE TUITION REIMBURSEMENT

The Graduate Certificate in Machine Learning & Data Science Foundations is eligible for CMU tuition remission. Review the   CMU tuition remission policy   to check your eligibility.

A Note for International Applicants

As part of a global university with locations and students from around the world, the School of Computer Science welcomes the diverse perspectives that international students bring to our programs.

The Graduate Certificate in Machine Learning & Data Science Foundations provides a unique opportunity for individuals nearly everywhere to earn a certificate at the intersection of AI, machine learning, and computational data science from one of the top ranked computer science schools in the country. 

To help ensure you are fully prepared for the admissions process and, if admitted, for success as a student, this section provides detailed information about requirements for international applicants.

We look forward to reviewing your application.

The Graduate Certificate in Machine Learning & Data Science Foundations considers for admission international applicants who reside within, or outside of, the domestic United States. International applicants who reside within or outside of the domestic United States are advised of the following information and additional requirements for international applicants to the program.

Student Visas

Since this program is fully online, enrollment in this program will not qualify students for any type of visa to enter or remain in the United States for any purpose. 

Time and Attendance Requirement  

Classes for the program will be taught on the U.S. Eastern Time zone schedule, and students must be available to attend all live classes, regardless of location.

U.S. Sanctions; U.S. Sanctioned Countries

Individuals who are the target of U.S. sanctions or who are ordinarily resident in a U.S. sanctioned country or who live or expect to live in a U.S. sanctioned country while participating in the program are not eligible for admission to this program due to legal restrictions/prohibitions and should not apply. U.S sanctioned countries are currently Belarus, Cuba, Iran, North Korea, Russia, Syria and the following regions of Ukraine: Crimea, Donetsk and Luhansk. In addition, all or a portion of this program may not be available to individuals who are ordinarily resident of certain countries due to legal restrictions.  

Applications received from these individuals will not be accepted. As well, if an individual is admitted to the program and subsequently the individual becomes the target of U.S. sanctions, ordinarily resident of a U.S. sanctioned country or lives in a U.S. sanctioned country while participating in the program (or otherwise becomes ordinarily resident of country in which the program is not available due to legal restrictions), the individual’s continued enrollment in the program may be terminated and/or restricted (due to U.S. legal restrictions/prohibitions) and the individual may not be able to complete the program.  

Licensure in Various Jurisdictions

From time to time Carnegie Mellon reviews the licensing requirements of various jurisdictions in order to assess whether Carnegie Mellon may be precluded from making the program available to applicants that are residents of one or more of these jurisdictions prior to Carnegie Mellon obtaining the relevant license(s). Affected applicants from these jurisdictions, if any, will be notified prior to enrollment if Carnegie Mellon determines that it is unable to make the program available to them for this reason.

Value Added Tax (VAT) and Other Taxes

The tuition, required fees and other amounts quoted for this program do not include charges for applicable Taxes (hereinafter defined). The student is responsible for payment of all applicable Taxes (if any) relating to the tuition, required fees and other amounts required to be paid to Carnegie Mellon for the program, including any Taxes payable as a result of the student’s payment of such Taxes. 

Further, the student must timely make all payments due to Carnegie Mellon without deduction for Taxes, unless the deduction is required by law. If the student is required under applicable law to withhold Taxes from any payment due to Carnegie Mellon, the student is responsible for timely (i) paying to Carnegie Mellon such additional amounts as are necessary so that Carnegie Mellon receives the full amount that it would have received absent such withholding, and (ii) providing to Carnegie Mellon all documentation, if any, necessary to permit the student and/or Carnegie Mellon to claim the application of available tax treaty benefits (for Carnegie Mellon review and completion, if warranted and acceptable). 

Taxes mean any taxes, governmental charges, duties, or similar additions or deductions of any kind, including all use, income, goods and services, value added, excise and withholding taxes assessed by or payable in the student’s country of residence and/or country of payment (but does not include any U.S. federal, state or local taxes).

• What kind of academic background do I need? Successful applicants will have a bachelor’s degree in a STEM-related field. Other degrees will be considered if the applicant can show the necessary proficiency in math and programming. Applicants should also have proficiency in programming languages like Python or R, with experience writing up to 1000 lines of code. 
• Do I need work experience? Applicants will ideally have some relevant work experience in either computer programming or a related field. Internships or other related work are also acceptable.
• What materials do I need to submit when I apply to this program? Besides the online application, applicants must submit a current resume, transcripts, and a personal statement to be considered for enrollment.
• Is there an application fee? No, this program does not require an application fee.
• When is the application deadline?  All applicants who submit by the priority deadline of July 9, 2024 will receive a partial scholarship award. The final deadline to apply is July 30, 2024.
• How do I check the status of my application? You can view the status of your application at any time in the application portal. A decision letter from Carnegie Mellon will be sent through the application portal within a few weeks of submitting your online application.
• After I submit my application, when will I hear back? You’ll receive a decision letter within a few weeks of submitting your application.
• Is a deposit required to secure my spot? No, a deposit is not required to secure your spot in the program.
• If I choose to complete the entire certificate, what is my total investment? The total investment for the Machine Learning & Data Science Foundations certificate during the 2024/2025 academic year is $25,452. A breakdown of the tuition and fees can be found above. Partial scholarships are available. All applicants who submit by the priority deadline of July 9, 2024 will receive a partial scholarship award. Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Machine Learning & Data Science Foundations worth up to 20% of tuition.
• Is this program eligible for CMU tuition remision? Yes, the Graduate Certificate in Machine Learning & Data Science Foundations is eligible for CMU tuition remission. Review the   CMU tuition remission policy   to check your eligibility.

Application Deadlines

Priority*: July 9, 2024 Final: July 30, 2024

*All applicants who submit by the priority deadline will receive a partial scholarship award.

Request Info

Questions? There are two ways to contact us. Call 412-501-2686 or send an email to  [email protected] with your inquiries.

Fast Admission Decisions

Applications are evaluated on a bi-weekly basis, which means you’ll receive a decision letter fast,  within a few weeks  of submitting your application .  

At CMU, we recognize the value of time well spent. Quick decisions mean less time wasted and more time preparing for your future.

Due to the individual nature of the coursework, space is limited for our program - applications will be accepted until the class is full.