Artificial Intelligence with Data Analytics MSc

1 Years On Campus Masters Program

Teesside University

Program Overview

The MSc Artificial Intelligence with Data Analytics at Teesside University develops advanced skills in AI, machine learning and data analytics, preparing students for roles as AI engineers, data scientists or analytics specialists. It suits graduates with prior computing, maths, or related backgrounds — or those willing to learn programming and statistics — who want a practical, industry-oriented master’s.

Curriculum structure
Students begin by building foundations through modules like Artificial Intelligence Foundations, Statistical Methods for Data Analytics, and Machine Learning, which cover logic-based knowledge representation, algorithms, data science methods, predictive modelling and statistical analysis. As they progress, courses such as Intelligent Decision Support Systems and Big Data & Business Intelligence teach how to design scalable data pipelines, manage large datasets, apply ML/AI to real-world problems, and derive actionable insights. The programme culminates in a Computing Master’s Project (Dissertation) — an independent, substantial project where students apply AI/data-analytics techniques to a practical or research problem. 

Focus areas: “machine learning; data science & analytics; big data systems; decision-support & predictive modelling; applied AI system design”
Learning outcomes: “develop and deploy AI/ML models; manage and analyse large datasets; build data-driven decision-support systems; carry out independent AI/data-science research or applications”
Professional alignment (accreditation): The MSc is geared to meet industry demand for AI and data-science professionals across sectors — from technology and finance to healthcare and business analytics — equipping graduates with both theoretical depth and practical skills. 
Reputation (employability): Teesside University combines active AI and machine-learning research groups with opportunities for internships/advanced practice, giving graduates good employability prospects in a growing global AI and data-analytics job market.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on projects using industry-standard tools in Teesside's computing laboratories, working with real-world datasets to develop AI and analytics solutions. This applied learning is central to the curriculum:

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

  • Computing Facilities: Access to specialist computing labs and data analytics workstations.

  • Data Analytics Projects: Practical work with real datasets for predictive modeling and business intelligence.

  • Research Project: An individual dissertation focusing on AI and data analytics applications.

  • Industry Links: Curriculum developed with industry partners in the digital sector.

  • Portfolio Development: Emphasis on building a professional portfolio of AI and analytics projects.

Progression & Future Opportunities

Graduates of Teesside University's MSc Artificial Intelligence with Data Analytics build expertise in machine learning, statistical methods, AI ethics, and data applications for industries like supply chain and pharmaceuticals, transitioning from programmers to leaders. The program offers authentic learning, research skills, and advanced practice options for high employability in cutting-edge tech roles. Typical job roles: AI data analyst, machine learning engineer, data scientist, analytics consultant.​

  • University services: Careers support with CV workshops, interview coaching, job fairs, Handshake, and internships.​

  • Employment stats/salary: Strong demand; starting salaries £30,000–£45,000.​

  • Partnerships: Siemens Connected Curriculum, Industrial Digitalisation Technology Centre.​

  • Accreditation value: Industry-aligned curriculum ensures ongoing relevance.​

  • Outcomes: Tech leadership, research, or industry innovation.​

Further Academic Progression: Pursue PhD in AI, data analytics, or machine learning at Teesside, extending dissertation research.

Program Key Stats

£17,000 (Annual cost)
Rolling


No
Yes

Eligibility Criteria

2.6
3 or 4 Years

N/A
N/A
N/A
6.0
89
2:2

Additional Information & Requirements

Career Options

  • AI Developer
  • Machine Learning Engineer
  • Data Scientist
  • Software Engineer (AI/ML)
  • Business Intelligence Analyst
  • Automation Specialist
  • Research Engineer
  • Data Analyst
  • AI Consultant
  • Computer Vision Specialist
  • NLP Engineer
  • Robotics Programmer

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