Artificial Intelligence
School of Computing
Advantages & Careers
The job outlook for AI experts is very promising, and the opportunities span multiple industries.
The Bureau of Labor Statistics considers data science among the top 20 fastest-growing occupations and has projected 31% growth over the next 10 years.
Future Careers:
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Business Intelligence Analyst
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AI Engineer, Data Analyst
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Data Scientist, Data Engineer
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Research Scientist
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Data Analytics Consultant
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Operations Analyst, Marketing Analyst
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Project Manager, IT Systems Analyst
Program Summary
With the exponential rise in computing power, Artificial Intelligence (AI) has rapidly evolved from theory to real-world application. AI focuses on creating systems that can mimic human intelligence—learning from data, adapting to new inputs, and performing complex tasks autonomously.
This dynamic field draws on core areas of computer science, mathematics, and logic to develop intelligent agents and models. Students gain expertise in machine learning, natural language processing, neural networks, and automated reasoning. The program emphasizes critical thinking, ethical considerations, and problem-solving, preparing graduates to develop AI-driven solutions that impact industries such as healthcare, finance, education, and beyond.
Program Objectives
1. Enable students to explore the complex body of knowledge associated with computer science and artificial intelligence.
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2. Develop the students’ cognitive skills essential for analysing, designing and evaluating computer-based and artificial intelligence systems.
3. Equip students with the industry-relevant knowledge and skills required to construct software and artificial intelligence-based systems.
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4. Encourage students to seek professional employment or pursue further study.
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5. Produce graduates who will uphold the legal, ethical and professional standards expected of a computer scientist or artificial intelligence specialist.
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6. Produce graduates with the skills needed to secure employment and embark upon a professional career within computer science or artificial intelligence.
Year 4 - UK Level 6 (Top-Up) at Teesside University campus, UK
2 Core Subjects
+ 3 Specialist Subjects
YEAR 4 - UK Level 6 (Top-Up)
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2 Core Mandatory Subjects/Units
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CIS3022-N Applied Machine Learning
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CIS3002-N Knowledge Based AI/ CIS3021-N Agent Based System
+ 3 Mandatory Specialist Subjects/Units
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CIS3004-N Computing Project
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CIS3025-N Deep Learning and Applications
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CIS3011-N Internet of Things
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