Machine learning and deep neural network systems are currently used by leading organisations worldwide and research centres in a wide range of applications and products. This course is for engineers and scientists looking to gain the necessary skills to be able to design these systems for use in industry.
Our MSc Machine Learning & Deep Learning degree focuses on state-of-the-art technologies for machine learning and deep neural network systems. The emphasis is on architectures, algorithms and implementation with applications in a diverse range of areas.
Administered by the Department of Electronic & Electrical Engineering, and jointly delivered with the Department of Computer & Information Sciences, you'll be exposed to state-of-the-art engineering and software technologies that underpin machine learning and deep neural network systems.
You'll learn about and gain experience from hands-on, industry relevant projects and examples. This includes programming languages and engineering tools used in an increasing number of products and services worldwide.
Extra Notes
Normally a first-class or second-class honours degree (or international equivalent) in electronic or electrical engineering, or computer science.
Remarks
Entry requirement is first-class undergraduate degree (approx 60%) from a recognised Indian institution but they will accept 55% from University of Mumbai, University of Calcutta, University of Delhi, ITs and IIMs, etc. MOI is acceptable if student is from CBSE/CISCE background and IELTS is short by 0.5 Band in any section.
* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.