Planit


Advanced Technology for Financial Computing

University of Edinburgh

Venues

Central Campus

Content

This programme will provide you with a critical and practical appreciation of how data, computing and artificial intelligence technologies can be used and developed to deliver value in organisations with finance, risk and decision-making related digitalisation from both technology and business perspectives.

The move towards digital organisations offers great potential for small and large, public and private enterprises. The University is in the UK's second largest financial centre after London and is leading cutting-edge, data-driven innovation to become the data capital of Europe.

Entry Requirements

A UK 2:1 honours degree in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, physics, or other numerate degree.

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 to 60 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.)

Start Date

September

Qualification

Postgraduate Master's

Award

MSc

Study Method

Full time

Course Length

12 months

Faculty

College of Science and Engineering

Department

Informatics

SCQF Level

11

Website

www.ed.ac.uk

Career Sectors

Biology

Chemistry and Materials Science

Food Science and Technology

Mathematics and Statistics

Physics

Science General