MSc Artificial Intelligence

1 Years On Campus Masters Program

University of Salford

Program Overview

The MSc Artificial Intelligence at the University of Salford provides advanced training in machine learning, deep learning, data mining, NLP and big-data technologies. It suits students with a computing or related background who want to develop practical, industry-focused AI skills.

Curriculum Structure:
Students begin with Machine Learning and Data Mining, Big Data Tools and Techniques (AI) and Deep Learning, gaining skills in data processing, supervised/unsupervised learning and neural-network modelling. They also study Natural Language Processing, learning text analysis, language modelling and real-world NLP applications. The programme concludes with an MSc Project, where students design and deliver an AI solution based on real-world or research needs.

Focus areas: “Machine Learning, Deep Learning, Big Data, NLP, Data Mining, AI Application Development”

Learning outcomes: “Build ML/DL models; analyse large datasets; apply NLP techniques; design AI-driven solutions; complete independent AI projects.”

Professional alignment (accreditation): Designed for AI roles across healthcare, business, transport, technology and professional services.

Reputation (employability rankings): Strong industry links and proximity to Manchester’s tech sector support high employability for AI and computing graduates.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on AI projects in Salford's computing laboratories, using industry-standard software and the University's high-performance computing resources to develop intelligent systems. This applied learning is central to the curriculum:

Software: Training in Python with key AI libraries (TensorFlow, Keras, Scikit-learn).
Computing Facilities: Access to the University's High-Performance Computing (HPC) infrastructure.
AI Projects: Practical development of machine learning models and AI applications.
Research Project: An individual dissertation focusing on AI system implementation.
Industry Focus: Curriculum developed with industry input and real-world applications.
Professional Skills: Emphasis on building practical AI implementation capabilities.

Progression & Future Opportunities

Graduates of University of Salford's MSc Artificial Intelligence master machine learning, deep learning, natural language processing, and big data analytics to develop intelligent systems revolutionizing healthcare, finance, transport, and gaming. Practical projects using TensorFlow, Keras, and specialist labs prepare alumni for high-demand AI roles amid digital transformation across industries. Typical job roles: AI engineer, machine learning engineer, data scientist, business intelligence developer.

University services: Careers team offers CV workshops, interview preparation, and industry networking via Greater Manchester AI Foundry.
Employment stats/salary: High demand across sectors; competitive salaries in AI development and data science.
University–industry partnerships: Greater Manchester AI Foundry membership enables real-world projects with local tech leaders.
Long-term accreditation value: Industry-connected curriculum equips for evolving AI applications in multiple sectors.
Graduation outcomes: Roles in AI development, machine learning, data science worldwide.

Further Academic Progression: Pursue PhD via Salford Innovation and Research Centre, extending MSc project research.

Additional Information & Requirements

The minimum requirement is a second class (2:2) division honours degree or equivalent in a computer science, or a related science, technology, engineering or mathematics subject.

India- Bachelor's degree with an overall average of 55% (5.8 CGPA) from a recognised institution.

USA- Bachelor's/professional bachelor's degree holders (when awarded by a regionally-accredited institution) with a general GPA of 2.75 or above will be considered for postgraduate study.

IELTS score of 6.0 (no element below 5.5)

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