BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Program Outcomes

Classified

1 - Knowledge

Theoretical - Conceptual

1) To be able to follow and critically analyze scientific literature and use it effectively in solving engineering problems.

2 - Skills

Cognitive - Practical

1) To be able to design, plan, implement and manage original projects related to Big Data Analytics and Management.

3 - Competences

Communication and Social Competence

Learning Competence

1) Effectively present the results of his/her research and projects in written, oral and visual form in accordance with academic standards.

Field Specific Competence

1) To be able to carry out studies on Big Data Analytics and Management independently, take scientific responsibility and critically evaluate the results obtained.

2) Uses advanced theoretical and practical knowledge specific to the field of Big Data Analytics and Management effectively.

Competence to Work Independently and Take Responsibility

1) To be able to conduct independent research in the field of Big Data Analytics and Management, develop original ideas and transfer this knowledge to practice.

2) Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering applications.

Program Gains Program Level

Program Outcomes	TR-NQF-HE 7 (Master) Level Descriptors

1 - Knowledge
Theoretical - Conceptual
1) To be able to follow and critically analyze scientific literature and use it effectively in solving engineering problems.	1) Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications. 2) Conceive the interdisciplinary interaction which the field is related with.
2 - Skills
Cognitive - Practical
1) To be able to design, plan, implement and manage original projects related to Big Data Analytics and Management.	1) Conceive the interdisciplinary interaction which the field is related with. 2) Interpret the knowledge about the field by integrating the information gathered from different disciplines and formulate new knowledge. 3) Solve the problem faced related to the field by using research methods.
3 - Competences
Communication and Social Competence
	1) Communicate current developments and studies within the field to both professional and non-professional groups systematically using written, oral and visual techniques by supporting with quantitative and qualitative data. 2) Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary 3) Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level. 4) Use advanced informatics and communication technology skills with software knowledge required by the field.
Learning Competence
1) Effectively present the results of his/her research and projects in written, oral and visual form in accordance with academic standards.	1) Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
Field Specific Competence
1) To be able to carry out studies on Big Data Analytics and Management independently, take scientific responsibility and critically evaluate the results obtained. 2) Uses advanced theoretical and practical knowledge specific to the field of Big Data Analytics and Management effectively.	1) Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethic values and teach these values. 2) Develop strategy, policy and implementation plans on the issues related to the field and assess the findings within the frame of quality processes. 3) Use the knowledge, problem solving and/or implementation skills in interdisciplinary studies.
Competence to Work Independently and Take Responsibility
1) To be able to conduct independent research in the field of Big Data Analytics and Management, develop original ideas and transfer this knowledge to practice. 2) Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering applications.	1) Independently conduct studies that require proficiency in the field. 2) Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field. 3) Demonstrate leadership in contexts that require solving problems related to the field.

Conjoined

1) To be able to follow and critically analyze scientific literature and use it effectively in solving engineering problems.

2) To be able to design, plan, implement and manage original projects related to Big Data Analytics and Management.

3) To be able to carry out studies on Big Data Analytics and Management independently, take scientific responsibility and critically evaluate the results obtained.

4) Effectively present the results of his/her research and projects in written, oral and visual form in accordance with academic standards.

5) To be able to conduct independent research in the field of Big Data Analytics and Management, develop original ideas and transfer this knowledge to practice.

6) Uses advanced theoretical and practical knowledge specific to the field of Big Data Analytics and Management effectively.

7) Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering applications.