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The MSc Data Science at the University of Hertfordshire is an interdisciplinary program offering in-depth training in the mathematical, statistical, and computational foundations of data science, alongside practical expertise in programming, data handling, machine learning, and data visualisation.
The course is suitable for both STEM and non-STEM graduates, providing tailored support for those from less technical backgrounds.
Students benefit from internationally recognized faculty, strong industry connections, practical experience with real-world data, and the option of a work placement.
Course Overview:
Applied Data Science 1
Applied Data Science 2
Data Science Project
Data Science Core Skills Bootcamp
Data Handling and Visualisation
Data Mining and Discovery
Fundamentals of Data Science
Machine Learning and Neural Networks
Teaching: Delivered through lectures, hands-on labs, workshops, and research-driven seminars with real-world data applications.
Assessment: Assessed via coursework, lab tasks, practical projects, and a substantial individual research project or dissertation.
Practical, hands-on lab work, workshops, and research-focused seminars using real-world datasets.
Data science projects often linked to ongoing staff research or industry-relevant problems.
Access to the new School of Physics, Engineering and Computer Science (SPECS) with modern computing labs.
Opportunities for work placements and industry mentorship.
Participation in career services, employer networking events, and industry-focused workshops.
Academic Support Hub and collaborative spaces to enhance learning.
Guidance from internationally recognized staff and industry mentors.
Training in advanced computational and statistical tools used in business, healthcare, and scientific research.
Graduates are prepared for strategic roles in technology, finance, healthcare, public sector, and research industries.
Pathway to PhD research or further specialist study in Data Science, Artificial Intelligence, or related fields.
The program’s strong industry links and practical focus provide long-term career advantages from companies such as Microsoft and Hewlett Packard
Part time studies available; 2 yearsFor Near-STEM students, the normal entry requirements for the programme are a good (2:1 or above) Honours Degree (or equivalent) in a STEM subject (e.g. Mathematics, Engineering, Physical Sciences etc). If a student has a relevant STEM degree, then they will be considered ‘Near-STEM’. They will be offered the opportunity to participate in the Data Science Core Skills bootcamp but will not be required to participate/attend.For Far-STEM students, the normal entry requirements for the programme are a good (2:1 or above) Honours Degree (or equivalent). The subject of the degree is not defined, since (a) many different, disparate subjects might have a Data Science relevance (e.g. Business, Geography), and (b) some students might possess a non- STEM degree but have relevant experience (e.g. from employment). For far-STEM students who do not possess a good Honours Degree or equivalent, applications will be assessed on a case-by-case basis.Your personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.IELTS: 6.5 overall, with no less than 5.5 in any bandTOEFL iBT: A score of 79 with band scores of reading 18, writing 17, listening 17, speaking 20 for postgraduateScholarships availableWork placement option availableData ScientistData AnalystMachine Learning EngineerData EngineerDatabase Designer/DeveloperBusiness Intelligence AnalystProduct ManagerResearcherData Visualisation SpecialistData Science Consultant
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University of Hertfordshire
