Computer Science – Big Data & Artificial Intelligence (MSc)
A project-based Master's programme focusing on AI, machine learning, and big data analytics.
Best for:Best for students with a background in computer science or information systems seeking practical, project-based training in AI and big data.
Overview
The Master of Science in Computer Science – Big Data & Artificial Intelligence at SRH University is a practice-oriented programme designed to equip students with advanced technical expertise. The curriculum covers essential areas such as software development, cloud computing, and data analysis, with a specialized focus on machine learning and business intelligence. Students benefit from the university's CORE principle, which emphasizes hands-on, project-based learning in intensive five-week blocks. The programme is available in both three-semester and four-semester formats, with the latter including an integrated internship.
What you'll do
- Engage in project-based learning modules covering advanced data technologies and software development.
- Develop expertise in machine learning algorithms and artificial intelligence use cases.
- Apply big data and business intelligence tools to solve complex business decision-making problems.
- Participate in agile project and risk management training.
- Complete a scientific master's project and thesis, including a formal defence.
- Undertake an internship (four-semester option) to gain professional experience.
Requirements
Degree required: Bachelor's degree in Computer Science, Information Systems, or a similar field.
Degree offered: MSc
Language: English; B2 level required.
Instruction: English
- Bachelor's degree in a relevant technical field
- English language proficiency at B2 level
- Ability to work in project-based environments
- Hold a recognized Bachelor's degree in Computer Science, Information Systems, or a similar area of studies.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Applications are submitted through the university's online portal. Applicants must provide a CV, letter of motivation, academic transcripts, and proof of English proficiency.
- CV
- Letter of motivation
- Bachelor's degree certificate
- Secondary school certificate
- Copy of passport or ID
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.