Master of Science [M.Sc] [Data Science] From Coventry University

Academics

• Students must achieve 60% in a 3 Year Undergraduate Degree or 55% in a 4 Year.Undergraduate Degree 
• Students from the following Universities will be considered with 55% in a 3 Year Undergraduate Degree (unless applying for Health and Life Science courses): Delhi, Mumbai, Kolkata, Chennai (Madras), Anna, Amity, Andhra Pradesh, Aligarh Muslim, Pune, Bangalore and JNTU.

English Requirement

• 65% in Standard XII English language from certain examination boards only (Central boards, Maharashtra, West Bengal, Karnataka, Tamil Nadu, Andhra Pradesh, Kerala and Uttarakhand), or
• IELTS 6.5 overall with no component lower than 5.5 (except where course requirements are higher) and other acceptable SELT tests such as the Pearson Test of English (PTE).
• Students not meeting the above can take the Coventry University English Test.

Upon successful completion of this course, you should be able to:

• Demonstrate systematic knowledge and critical understanding of core and advanced topics in data science and its theoretical foundations.
• Design and evaluate computer systems for the storage, organisation, management, retrieval and processing of different types of information and sizes of datasets, including distributed systems.
• Use an analytical approach, statistical thinking and a comprehensive understanding of appropriate models, methods, algorithms and software tools to analyse data of a variety of types, and identify the limitations of any analysis.
• Demonstrate practical skills and capabilities related to employment, including working effectively and constructively as part of a team, leading a team, motivating and communicating complex ideas accurately to experts and non-experts, and technical expertise with modern data science tools and technologies.
• Identify and apply appropriate practices within a professional, legal, social, cultural and ethical framework, including complex, inter-related, multi-faceted issues that can be found in a variety of organisations and professional contexts.
• Apply research skills such as planning research, and critical analysis of information from appropriate sources, demonstrate awareness of current issues and show originality in the application of knowledge where appropriate.