Master of Science in Artificial Intelligence for Business
A business-focused master’s programme blending AI techniques with real-world commercial applications.
Best for:Best for professionals with a background in computing, business analytics, or related fields who want to specialise in AI-driven business solutions and enhance their career prospects in technology and management roles.
Overview
This one-year master’s programme at TUS Athlone Campus equips graduates with specialised skills in artificial intelligence, tailored specifically for business applications. Students explore AI-driven solutions to modern commercial challenges, from data analytics to automation, while developing technical expertise alongside business acumen. The curriculum balances theoretical foundations with hands-on projects, ensuring graduates can implement AI tools effectively in corporate settings. Ideal for computing, business, or analytics professionals seeking to advance their careers in tech-driven industries. Admission requires a strong undergraduate degree in a relevant field and proficiency in English for non-native speakers.
What you'll do
- Develop and implement AI models to solve real-world business problems, such as demand forecasting, customer segmentation, or process automation.
- Analyse large datasets to extract actionable insights for business strategy and operational efficiency.
- Design and evaluate AI-driven solutions using industry-standard tools and frameworks.
- Collaborate with cross-functional teams to integrate AI technologies into business workflows.
- Conduct research on emerging AI trends and their potential impact on commercial sectors.
- Present findings and recommendations to stakeholders in a clear, business-oriented manner.
Requirements
Degree required: A Merit Higher Diploma (Level 8) or a 2.2 Honours Bachelor Degree (Level 8) in Computing, Business Computing, Electronics, Computer Science, Software Engineering, Data/Business Analytics, Physics, Statistics, or an equivalent qualification.
Language: English proficiency: IELTS 6.5 or higher, or a CEFR English level of at least B2, or equivalent.
Instruction: English
- Proven analytical and problem-solving skills in a technical or business context.
- Familiarity with programming languages commonly used in AI (e.g., Python, R).
- Experience with data analysis tools and techniques.
- Strong mathematical foundation, including statistics and linear algebra.
- Ability to work collaboratively in interdisciplinary teams.
- No restrictions on nationality or residency.
- Applicants must meet the minimum academic entry requirements.
- No age restrictions.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application directly through the TUS Athlone Campus portal. The process involves providing academic transcripts, proof of English proficiency (if applicable), and a personal statement outlining their interest in the programme. Additional documents may be requested based on individual circumstances.
- CV or résumé
- Academic transcripts (Bachelor’s degree and any higher qualifications)
- Proof of English proficiency (IELTS or equivalent, if applicable)
- Personal statement or letter of intent
- Passport-sized photograph (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.