MSc Artificial Intelligence MSc

1 Years On Campus Masters Program

Teesside University

Program Overview

This MSc in Artificial Intelligence trains students in machine learning, data analytics and intelligent system design, suitable for those aiming for technical AI roles. It offers a balance of theory and hands-on programming to prepare graduates for industry or research.

Curriculum structure
In the first stage, students study Artificial Intelligence Foundations, Machine Learning, and AI Programming, building core skills in algorithms and model development. Later, modules such as Data Analytics and Statistical Methods and Big Data & Business Intelligence develop expertise in handling and analysing large datasets. The final Master’s Project allows students to design and implement an applied AI or data-driven solution.

Focus areas: “machine learning, data analytics, big data, intelligent systems”

Learning outcomes: “ability to build AI models, analyse complex data, and develop applied AI solutions”

Professional alignment: Prepares graduates for AI engineer, ML developer and data-science roles.

Reputation: Supported by a research-active computing school with strong applied-AI emphasis.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on AI projects in the University's computing laboratories, using industry-relevant tools and datasets to solve real-world problems. This applied learning is central to the curriculum:

Software: Training in Python with key AI libraries (TensorFlow, Keras, Scikit-learn).
Computing Facilities: Access to specialist computing labs and high-performance workstations.
Research Project: An individual dissertation focusing on AI application development.
Industry Focus: Curriculum developed with input from digital and tech industry partners.
Professional Development: Emphasis on building a portfolio of practical AI projects.

Progression & Future Opportunities

Graduates of Teesside University's MSc Artificial Intelligence develop advanced skills in machine learning, data analytics, and AI applications across industries such as engineering, healthcare, and manufacturing. The program prepares students for roles that leverage industry collaborations and cutting-edge technology, fostering strong employment prospects. Typical job roles: AI engineer, data scientist, machine learning specialist, AI consultant.

University services: Careers support includes CV workshops, interview coaching, job fairs, and industry networking opportunities.
Employment stats/salary: Graduates typically earn starting salaries between £30,000–£45,000, with growing demand across UK tech sectors.
Partnerships: Strong collaboration with Siemens through the Connected Curriculum and Industrial Digitalisation Technology Centre enhancing practical learning and innovation.
Accreditation value: Teesside's industry-focused curriculum and research collaborations provide lasting recognition and relevance.
Outcomes: Graduates secure roles in AI-driven engineering, digital innovation, and consultancy, supporting career growth and leadership.

Further Academic Progression: Pursue PhD in AI, data science, or digital technologies at Teesside or partner institutions, deepening research through dissertation projects.

Additional Information & Requirements

You will normally need a first degree in related discipline (2.2 minimum) or relevant experience or equivalent qualifications.

India- Minimum of 55% or CGPA 5.8/10 from a recognised Indian university;

USA- Four-year degree from an accredited university with a grade-point average of 2.6

IELTS 6.0 or equivalent.

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