R Programming for Data Science: Introduction
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| Program start date | Application deadline |
| 2026-09-30 | - |
| 2027-09-30 | - |
Program Overview
University Program Information
The university offers a wide range of programs, including short and online courses, undergraduate, postgraduate, professional, and research programs.
Subject Areas
- Archaeology and anthropology
- Archaeology
- English Local History
- Architectural history
- Architectural History
- History of Design
- Business and management
- Business and management
- Data science, computing, maths
- Applied Landscape Archaeology
- Cognitive Behavioural Therapy
- Data science, computing, maths
- Evidence-Based Health Care Medical Statistics
- Evidence-Based Health Care Systematic Reviews
- Evidence-Based Health Care Teaching and Education
- IT Systems Analysis and Design (Online)
- Nanotechnology
- Nanotechnology for Medicine and Health Care
- R Programming for Data Science: Introduction
- Diplomatic studies and law
- Diplomatic Studies
- Foundations of Diplomacy Pre-Master's Course (six months, full-time)
- Economics and politics
- Economics and politics
- Education and study skills
- Education
- Environment and sustainability
- Environment and sustainability
- Sustainable Urban Development
- History of art
- History of Art
- History, including local and social
- English Social and Local History
- History
- History of Design
- Languages and cultural studies
- Languages and cultural studies
- Literature, creative writing and film studies
- Creative Writing
- English Literature
- Medical and health sciences
- Cognitive Behavioural Therapy
- Ecological Survey Techniques
- Enhanced Cognitive Behavioural Therapy
- Health Research
- Medical and health sciences
- Patient Safety and Quality Improvement
- Psychodynamic Counselling
- Qualitative Health Research Methods
- Teaching Evidence-Based Health Care
- Music
- Music
- Natural sciences
- Natural sciences
- Philosophy
- Philosophy
- Practical Ethics
- Psychology and counselling
- Psychology and counselling
- Religion and theology
- Religion and theology
- Theological Studies
- Technology and AI
- Technology and AI
Course Format
- Day and weekend events
- In-person learning
- Lecture series
- Online learning
- Professional
- Summer schools
- Weekly learning
Academic Credit
Many courses can be studied for academic credit, which means they can count towards a recognised qualification.
Undergraduate Programs
Certificates
- Archaeology
- Certificate of Higher Education
- English Literature
- History
- History of Art
- Theological Studies
Diplomas
- Archaeology
- Creative Writing
- English Social and Local History
- History of Art
Advanced Diplomas
- British Archaeology
- IT Systems Analysis and Design (Online)
- Local History (Online)
Pre-Master's
- Advanced Pre-sessional Course for Graduate Students (nine weeks, full-time)
- Foundations of Diplomacy Pre-Master's Course (six months, full-time)
Postgraduate Programs
Certificates
- Architectural History
- Cognitive Behavioural Therapy
- Ecological Survey Techniques
- Enhanced Cognitive Behavioural Therapy
- Health Research
- Historical Studies
- Nanotechnology
- Patient Safety and Quality Improvement
- Psychodynamic Counselling
- Qualitative Health Research Methods
- Teaching Evidence-Based Health Care
Diplomas
- Cognitive Behavioural Therapy
- Cognitive Behavioural Therapy Severe Mental Health Problems
- Health Research
- International Wildlife Conservation Practice
- Psychodynamic Practice
Master of Studies (MSt)
- Creative Writing
- Diplomatic Studies
- Historical Studies
- History of Design
- Literature and Arts
- Mindfulness-Based Cognitive Therapy
- Practical Ethics
- Psychodynamic Practice
Research Degrees (DPhil)
- Archaeology
- Architectural History
- Cognitive Behavioural Therapy
- English Local History
- Evidence-Based Health Care
- Literature and Arts
- Sustainable Urban Development
Master of Science (MSc)
- Applied Landscape Archaeology
- Cognitive Behavioural Therapy
- English Local History
- Evidence-Based Health Care
- Evidence-Based Health Care Medical Statistics
- Evidence-Based Health Care Systematic Reviews
- Evidence-Based Health Care Teaching and Education
- Experimental and Translational Therapeutics
- Nanotechnology for Medicine and Health Care
- Surgical Science and Practice
- Sustainable Urban Development
- Translational Health Sciences
Professional Programs
Continuing Professional Development
- Business and management
- Cultural heritage
- Data science, computing, maths
- Diplomatic studies
- Education
- Environment and sustainability
- Medical and health sciences
- Nanotechnology and nanomedicine
- Philosophy and ethics
- Psychology and counselling
- Research methods and skills
- Technology and AI
- Urban studies
Research
The university has an active interdisciplinary research community, with a strong focus on the humanities and social sciences.
Research Community
Research at the university extends across the disciplines and is supported by a research culture that encourages interdisciplinary initiatives.
Research Areas
- Academic staff profiles
- Part-time DPhil programmes
- Research areas
- Research students
Research Forums
- Artificial Intelligence (AI) Steering Group
- Lifelong Learning Pedagogies forum
- Research Ethics Colloquium
- The Vice-Chancellors Colloquium
Fees and Funding
- Course fee (with no assessment): 」300.00
- Assessment and Accreditation fee: 」60.00
If you are in receipt of a UK state benefit, you are a full-time student in the UK or a student on a low income, you may be eligible for a reduction of 50% of tuition fees.
Tutor
Dr Gisela Robles Aguilar is a Senior researcher in Global Burden of Disease at the Nuffield Department of Medicine, University of Oxford.
Course Aims
The course aims to provide an introductory overview of the R programming language, covering the basics of R and moving on to data processing and performing excel-like operations on tabular data.
Course Objectives
- To introduce programming with R.
- To introduce how to read data from files.
- To introduce how to perform excel-like operations with R.
Learning Outcomes
By the end of the course, students will have the opportunity to learn:
- R syntax, basic control flow and program design
- R data structures and how/when to use them
- How to perform Excel-like operations with R
After attending the course, students will have a foundational understanding of programming concepts, including variables, iterative statements, conditionals, functions, and data structures.
Assessment Methods
The assessment will be a set of ten questions that will enable students to demonstrate an understanding of the material discussed during each week of the course.
Level and Demands
The course is taught at FHEQ Level 4, equivalent to first-year undergraduate level, and students will be expected to engage in a significant amount of private study in preparation for the classes.
