Academic Eligibility:

• Students should have a high school degree from the recognized institution.
• Students can have a diploma with a minimum of 45 credits at Level 3 at Distinction and Merit.
• International Baccalaureate (IB): 36 (HL 6,5,5) to 38 (HL 6,6,6 plus SL 6,6,6).
• Students must be qualified in IELTS or TOEFL and PTE to get admission to this program.

Indian Student Eligibility:

• Indian School Certificate, Intermediate Certificate, Higher School Certificate, Higher Secondary Certificate, All India Senior School Certificate, and Pre-University course: (awarded on completion of Standard XII) candidates are expected to obtain a minimum average of 90% (with 90% or higher in any prerequisite subjects) in Standard XII examinations, or A1-A2 if students are taking examinations used by Central Boards.
• International Baccalaureate (IB): 36 (HL 6,5,5) to 38 (HL 6,6,6 plus SL 6,6,6).

In the course of this programme students will develop programme-specific skills. On completing the programme students should be able to demonstrate the graduate attributes outlined below.

• Demonstrate original thought
• Construct a coherent argument or debate by demonstrating logical processing of (complex) information and deductive reasoning
• Apply critical analysis, evaluation and synthesis to solve complex problems
• Test hypotheses, theories, methods and evidence within their proper contexts
• Reason from the particular to the general
• Identify relevant techniques and concepts to solve advanced and complex problems
• Demonstrate use of an appropriate range of resources to the task at hand
• Evaluate relevant best practices for the task at hand
• Engage directly with current research, developments and skills in the discipline
• Engage with primary and secondary material and differentiate between them
• Demonstrate active learning
• Demonstrate reflective learning, including the ability to engage with and learn from feedback
• Demonstrate creativity and curiosity
• Demonstrate independence of thought and reasoning
• Demonstrate skills in time management, self-discipline and self-motivation
• Demonstrate skills in close textual and comparative analysis
• Demonstrate skills in close analysis of visual material
• Demonstrate advanced IT skills
• Demonstrate quantitative and qualitative methods of analysis
• Demonstrate expertise in the use of statistical software packages for recording, manipulation and analysis of data
• Convey statistical results and methods in a manner understandable to the lay-person via written or oral reports
• Work independently
• Work as part of a team
• Communicate with clarity and accuracy, orally (including presentation) and in writing
• Engage with the views and opinions of others
• Present work and findings in a professional manner, with attention to detail
• Learn and use research skills
• Design, carry out, and analyse the results of relevant experiment/practical work
• Create and use mathematical models of physical situations
• Identify simple models and intuitive understanding of complex systems