Master of Science in Computer Science (MSc HSG)
A practice-oriented Master’s in Computer Science blending cutting-edge theory with real-world business and research applications.
Best for:Best for computer science graduates seeking a blend of technical expertise, business acumen, and research exposure in a practice-oriented environment.
Overview
The Master of Science in Computer Science (MSc HSG) at Universität St. Gallen offers a specialised curriculum with three tracks: AI & Data Science, Software and Systems Engineering, and Strategic Cybersecurity. This programme uniquely combines theoretical computer science with hands-on experience, fostering practical problem-solving through small classes and mentorship. Students collaborate with industry partners on projects, including the Master’s Project, while integrating business models, digital innovation, and leadership into the curriculum. Research-intensive faculty, collaborating with global partners like Google, ESA, and Siemens, ensure students engage with the latest advancements. The programme also provides opportunities to conduct a Master’s thesis within research groups, potentially paving the way for doctoral studies.
What you'll do
- Develop and apply theoretical computer science concepts to real-world business and technical challenges.
- Collaborate with industry partners on practical projects, including the Master’s Project.
- Engage in research activities, potentially embedding a Master’s thesis within faculty research groups.
- Integrate business models, digital innovation, and leadership into technical problem-solving.
- Participate in small, mentored classes to foster hands-on learning and direct application of knowledge.
Requirements
Degree required: Bachelor of Science in Computer Science or a related field from a recognised university.
Degree offered: Master of Science HSG (M.Sc. HSG) in Computer Science
Language: English; no specific proficiency test required (assumed for applicants from English-speaking countries or those with prior English-language education).
Instruction: English
- Proven academic background in Computer Science or a closely related discipline.
- Basic proficiency in programming and algorithmic problem-solving.
- Ability to work collaboratively in interdisciplinary teams.
- Open to international applicants.
- No specific residency or age restrictions mentioned.
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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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: 2024-04-30
Applicants must submit their application through the official university portal. Required documents include a CV, academic transcripts, proof of English proficiency (if not from an English-speaking institution), a statement of purpose, and letters of recommendation. The application process is competitive and requires careful attention to deadlines.
- CV
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- Statement of purpose
- Letters of recommendation (typically 2-3)
Contact
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