MSc Data Science & Artificial Intelligence

1 Years On Campus Masters Program

Edge Hill University

Program Overview

The MSc Data Science & Artificial Intelligence at Edge Hill University equips students with the tools to turn large, complex datasets into actionable insights using AI, machine learning, data mining and visualisation techniques. It is suited for STEM-graduates or professionals shifting into IT/data roles who want strong technical and analytical skills for real-world data challenges.

Curriculum Structure:
Over a one-year (full-time) or 2–3-year (part-time) period, students first build foundations through modules such as Databases, Practical Data Analysis, and Programming for Data Science and Artificial Intelligence, where they learn how to store, manage, process, and programmatically analyse data. They then take courses like Data Mining and Visualisation and Machine Learning to uncover patterns in data and apply statistical and algorithmic techniques for prediction, clustering or classification; concurrently Emerging Technologies introduces new tools and methods—such as virtual reality, IoT and advanced computing—that extend AI/data-science applications. The final stage centres around a Research and Development Project, allowing students to combine their learning into a substantial independent project tackling a real-world data or AI challenge.

Focus areas: “Data Mining; Machine Learning; Data Visualisation; Big Data Analysis; Emerging Technologies; Applied AI & Data Science”

Learning outcomes: “Ability to handle and manage large datasets, apply machine learning and data-mining techniques, visualise and interpret data, utilise emerging AI and computing technologies, develop and deliver data-driven solutions through independent research.”

Professional alignment (accreditation): The MSc meets academic and industry-oriented standards, preparing graduates for roles such as data scientist, data analyst or AI-specialist. 

Reputation (employability rankings): Edge Hill is recognized among UK institutions with good graduate employment outcomes; its Data Science & Artificial Intelligence graduates benefit from the university’s strong connections and programme design that emphasises real-world data skills. 

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on projects in Edge Hill's computing laboratories, using the University's high-performance computing infrastructure to work with real-world datasets and develop AI-driven data solutions. This applied learning is central to the curriculum:

  • Software: Training in Python and R with key AI and data science libraries (TensorFlow, Scikit-learn, Pandas, NumPy).

  • Computing Facilities: Access to the University's High-Performance Computing (HPC) cluster and data analytics labs.

  • Data Science Projects: Practical work with complex, real-world datasets to extract insights and build predictive models.

  • Research Project: An individual dissertation focusing on the intersection of data science and AI.

  • Industry Applications: Curriculum includes sector-specific case studies from business, health, and public services.

  • Professional Development: Emphasis on building technical proficiency in both data science and AI methodologies.

Progression & Future Opportunities

Graduates of Edge Hill University's MSc Data Science & Artificial Intelligence master data mining, AI algorithms, advanced analytics, and practical tools to uncover patterns in big data from social media, IoT, and reviews, becoming versatile data specialists. The program fosters creativity for novel solutions and real-world application, preparing alumni for high-demand roles in a dynamic tech landscape. Typical job roles: data scientist, AI analyst, machine learning engineer, data specialist.​

  • University services: Careers team provides work placements, CV workshops, and industry links for employability.​

  • Employment stats/salary: 97.7% postgraduates in work/study 15 months post-graduation; top NW rankings.​

  • University–industry partnerships: Strong industry ties for applied projects and placements.​

  • Long-term accreditation value: Skillset for evolving data/AI fields with research emphasis.​

  • Graduation outcomes: Data roles in tech, analytics, research across sectors.​

Further Academic Progression: Pursue PhD in data science/AI at Edge Hill, building on MSc research project.​

Program Key Stats

£17,000 (Annual cost)
Rolling


No
Yes

Eligibility Criteria

2.75
3 or 4 Years

N/A
N/A
N/A
6.5
90
2:2
55
5
75

Additional Information & Requirements

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • AI Developer
  • Business Intelligence Analyst
  • Data Analyst
  • AI Consultant
  • Research Scientist
  • Data Engineer
  • Predictive Modeler
  • Business Analytics Manager
  • AI Solutions Architect
  • Quantitative Analyst

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