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Program Overview:
The MSc Data Science at Hertfordshire is a 12-month full-time programme (with placement options) for students from STEM or non-STEM backgrounds who want strong practical & theoretical skills in data. You’ll study statistics, machine learning & neural networks, data visualisation & handling, plus do a major project.
Curriculum Structure:
You begin with foundational modules like Foundations of Data Science, Applied Data Science 1 & 2, Data Handling and Visualisation, Data Mining & Discovery, and Machine Learning & Neural Networks. These develop your ability to manipulate real-world datasets, build predictive models, visualise data, and understand the statistical/math basis of algorithms.
Final Phase (Project):
You then complete the Data Science Project, applying what you’ve learned to a real or simulated problem, combining coding, analysis, validation, and reporting. This consolidates both technical & soft skills.
Focus areas
“Machine Learning; Neural Networks; Data Mining; Data Visualisation; Statistical Foundations; Real-World Project Work”
Learning outcomes
“Ability to process & clean data; build & evaluate ML/neural network models; present findings visually; understand mathematical/statistical underpinnings; execute complete data science project”
Professional alignment (accreditation):
Accredited by the British Computer Society (BCS); placement options included.
Reputation (employability rankings):
Hertfordshire’s Computer Science research had 90% of its output rated world-leading or internationally excellent in REF 2021; graduates are in demand for roles as data scientists, data engineers etc.
This programme focuses on applying modern computing principles to business and information systems challenges. You'll develop practical skills using the University's specialist computing facilities and industry-relevant software, preparing you for professional IT roles. This hands-on approach is delivered through:
Specialist Computing Laboratories: Access to LJMU's modern computing labs with high-specification workstations for systems development, database management, and network projects.
Industry-Standard Software: Practical work with enterprise systems, database platforms like Oracle and SQL Server, and development tools including Visual Studio and programming languages such as Java and Python.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated information systems solution.
Professional Development: Project-based learning that simulates real-world business IT environments, focusing on systems analysis, design, and implementation.
Graduates of the MSc Data Science at the University of Hertfordshire develop advanced skills in data analytics, programming (Python, R), and machine learning, leading to roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, and Data Engineer. The program combines rigorous theory with practical skills, enabling strong performance across multiple sectors.
Hertfordshire’s Careers and Employment Service provides tailored job search support, placements, and career fairs, with students benefiting from a paid one-year industry placement with partners such as NatWest, Sky, Microsoft, and Hewlett Packard.
93% of MSc graduates are employed or in further study within 15 months; typical starting salaries are £28,000–£45,000.
The program regularly couples live industry projects with research sessions led by leading faculty in math, statistics, and computer science.
Accredited by the British Computer Society (BCS), the MSc supports long-term career and professional recognition.
Graduates excel at advanced statistical analysis, data mining, and real-world analytics, ready for versatile roles in both public and private sectors.
Further Academic Progression:
Graduates may continue to PhD research in Data Science or related areas, professional certifications, or advanced research and industry roles for further specialization and leadership.
The normal requirement is a good honours degree (or equivalent) in computer science or cognate discipline.USA- taught Completion of a 4 year bachelors degree with GPA 2.5 out of 4India- Completion of Bachelor degree in a relevant subject area with 55-65% or above depending on course.IELTS 6.0 or 6.5 with no less than 5.5 in any band Data ScientistMachine Learning EngineerData AnalystData EngineerBusiness Intelligence AnalystQuantitative Analyst
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University of Hertfordshire
