School of Informatics Computer Science MSc دراسة The University of Edinburgh في

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Edinburgh's long-established expertise in core computer science is recognised internationally and spans the range from computer architecture to theoretical computer science.This master's degree offers you the opportunity to obtain specialist knowledge in the design, analysis, implementation, and use of computer systems ranging from the components of a single processor to computer networks as vast as the Internet.You can also pursue a more theoretical direction by choosing courses in areas such as:algorithmsprogramming languagescryptographyquantum informaticsThe programme provides a solid foundation in theoretical understanding and a wide variety of practical techniques applicable in many career settings.

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School of Informatics

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل

£45,410.00 (US$ 58,644) سنوياً

هذه رسوم ثابتة

الموعد النهائي للتسجيل

متوقع March 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

Main Campus

Old College, South Bridge,

Edinburgh,

EH8 9YL, Scotland, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل

£45,410.00 (US$ 58,644) سنوياً

هذه رسوم مؤقتة قيد القبول

تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Main Campus

Old College, South Bridge,

Edinburgh,

EH8 9YL, Scotland, United Kingdom

شروط القبول

للطلاب الدوليين

A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, econometrics, electrical engineering, mathematics, physics or another quantitative discipline.

Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.

Competence in programming is essential. During your degree you must have completed a programming course in at least one of the following: C/C++, Java, Python, R, Matlab, Haskell, ML.

During your degree you must have completed the equivalent of 60 SCQF credits or 30 ECTS credits of mathematics that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)

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