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1 Years On Campus Masters Program
The University of BradfordThe MSc Artificial Intelligence and Machine Learning at University of Bradford offers advanced training in AI, machine learning, software development, and applied AI techniques — preparing students for careers as AI/ML engineers, data scientists, or researchers. It suits graduates (especially from computer science, engineering or related quantitative fields) looking to build robust programming and algorithmic skills to develop intelligent solutions in diverse domains.
Curriculum Structure
Students begin with core modules including Software Development, Advanced Machine Learning, and Cloud AI, where they learn programming foundations, algorithmic techniques for ML, and cloud-based AI system design. They also study Advanced Topics in AI and Digital Healthcare, gaining insight into applying AI in health and data-rich medical settings. Midway, a MSc Group Project lets students work collaboratively on practical AI problems, integrating theory, coding and teamwork. Finally, via the Dissertation, students complete an independent research or application project — designing and building an AI/ML system or data-driven solution under supervision.
Focus areas :
“Machine learning, software development, cloud-AI systems, applied AI in healthcare, data-driven project work”
Learning outcomes :
“Develop and implement ML and AI algorithms; build AI-enabled software using cloud and industry-tools; apply AI techniques to real-world or healthcare data; design and carry out independent AI research or practical implementation.”
Professional alignment (accreditation):
The programme aligns with the requirements of the British Computer Society (BCS), giving recognition as a postgraduate qualification relevant for professional roles in computing and AI engineering.
Reputation (employability):
Graduates are eligible for roles as ML engineers, AI specialists, data scientists and research-oriented positions; the course is designed with industry-focused curriculum and strong practical emphasis — which improves employability in fast-growing AI and data sectors.
Students gain practical skills through hands-on projects using the University of Bradford's high-performance computing resources, applying AI and ML techniques to real-world datasets and problems. The programme emphasizes both theoretical foundations and practical implementation, with a focus on developing deployable AI solutions. This applied learning is structured around several key components:
Core Software & Programming: Intensive use of Python and R as primary languages, with deep exposure to key libraries and frameworks including TensorFlow, Keras, PyTorch, and Scikit-learn.
Computing Facilities: Access to the University's High-Performance Computing (HPC) resources for training complex machine learning models.
Research Project: A substantial individual research dissertation (MSc project) that allows for deep specialization in an area of AI or ML.
Group Projects: Collaborative software development projects that simulate real-world team-based AI system development.
Digital Tools & Platforms: Use of industry-standard tools for version control (e.g., Git) and data analysis.
Professional Context: The curriculum includes consideration of the ethical, legal, and social implications of AI, preparing students for responsible deployment in professional settings.
Graduates of the MSc Artificial Intelligence and Machine Learning at University of Bradford master programming, deep learning, and AI applications, securing roles as machine learning engineers, AI developers, data scientists, and healthcare AI specialists:
Careers Service offers CV workshops, interview coaching, and AWS certification support.
Strong employability in tech/healthcare; salaries £30,000–£45,000.
Industry projects with Amazon AWS and healthcare partners provide real-world experience.
BCS student membership enhances professional accreditation value.
Graduates complete dissertations solving practical AI problems.
Further Academic Progression: Graduates pursue PhDs in AI/ML or industry R&D roles.
2:2 or above in computer science, computer engineering, informatics or other computer-related subjects (including engineering and management disciplines such as finance, economics, business studies etc) from an approved degree-awarding body.India- Bachelor degree with 60%USA- Bachelor degree with GPA -2.5/4.0 Minimum IELTS 6.0 (with subset scores not below 5.5) or equivalent.TOEFL : overall score of at least 80*, and sub-tests not less than 18 in Reading, 17 in Writing, 17 in Listening and 20 in Speaking Machine Learning EngineerData ScientistAI DeveloperResearch ScientistBusiness Intelligence AnalystAI Ethics ConsultantSoftware Engineer (AI/ML)Data AnalystAutomation SpecialistPhD ResearcherAI Solutions ArchitectPredictive Modeler
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