1) Professional competencies and communication:

Demonstrate proficiency in data analysis, algorithm development, database development and ability to generate hypotheses based on available data.
Students are encouraged to develop their verbal, written skills for communicating with the scientific community.

2) Creativity and Innovation:

Applying the knowledge of different domains to generate valid hypothesis
Develop, implement and communicate new ideas to others effectively
Be open and responsive to new and diverse perspectives; incorporate group input and feedback into the work.

3) Critical Thinking and Analytical Skills:

Effectively analyze and evaluate evidence, arguments, claims and beliefs from literature and develop their own views and concepts Analyze and evaluate major alternative points of view
Synthesize and make connections between information and arguments
Interpret information from available data and draw conclusions based on the best analysis
Solve different kinds of non-familiar problems in both conventional and innovative ways.

4) Leadership, Teamwork and Entrepreneurship:

Leadership skills can create a self-motivated team, making them aware of the purpose and thus streamlining the process in order to accomplish goals.
Possess strong commitment to team environment dynamics with the ability to contribute expertise and follow leadership directives at appropriate times

5) Social and Global Outlook:

Demonstrate an awareness and understanding of global issues and happenings outside the country, a willingness to take part in international experiences, as well as an ability to work/interact effectively with people from different parts of the world.